The following is the list of all requirements across all the tools. It is helpful to view an abstract hierarchy of the tools, showing R2D at the top and the components at the bottom. Each application pulls in many of the requirements from the others. For example, PBE builds upon EE-UQ. It has its own requirements, i.e. DL, but includes the loading, modeling and analysis requirements from EE-UQ. It specializes the UQ requirement, in that it only incorporates the sampling option. One set of requirements not shown in the figure is CR, a listing of all the common functionality required of all the applications.

1. R2D

Table 1.3 Requirements - R2D

#

Description

Source

Priority

Status

R2D

Ability to perform regional simulation allowing communities to evaluate resilience and perform what-if types of analysis for natural hazard events

GC

M

InProgress

R2D.1

Include Various Hazards

GC

M

InProgress

R2D.1.1

Ability to perform simulations for ground shaking due to earthquakes using methods defined in EL1

GC

M

Implemented

R2D.1.2

Ability to perform simulations for wave action due to earthquake induced tsunami using methods defined in HL1

GC

M

R2D.1.3

Ability to perform simulations for wind action due to hurricane using methods defined in WL1

GC

M

InProgress

R2D.1.4

Ability to perform simulations for wave action due to hurricane storm surge using methods defined in HL1

GC

M

R2D.1.5

Ability to perform multi-hazard simulations: wind + storm surge, rain, wind and water borne debris

GC

M

R2D.1.6

Ability to utilize machine learning ensemble techniques in hazard simulation

GC

M

R2D.1.7

Ability to incorporate surrogate models in hazard simulation

SP

M

R2D.1.8

Ability to incorporate multi-scale models in hazard simulation

SP

M

R2D.1.9

Ability to incorporate ground deformation hazards for pipes, roadways, and other infrastructure

SP

M

R2D.2

Include Different Asset Types

GC

M

InProgress

R2D.2.1

Ability to incorporate building assets

GC

M

Implemented

R2D.2.1.1

Ability to incorporate multi-fidelity building model asset descriptions

GC

M

InProgress

R2D.2.2

Ability to incorporate transportation networks

GC

M

R2D.2.3

Ability to incorporate utility networks

GC

M

InProgress

R2D.2.3.1

Methods to overcome national security issues with certain utility data

GC

M

InProgress

R2D.2.4

Ability to incorporate surrogate models in asset modeling

SP

M

R2D.3

Include Different Analysis options

GC

M

InProgress

R2D.3.1

Ability to include multi-scale nonlinear models

GC

M

Implemented

R2D.4

Include Different Damage & Loss options

GC

M

InProgress

R2D.4.1

Ability to include building-level earthquake damage and loss assessment from HAZUS

SP

M

Implemented

R2D.4.2

Ability to include high-resolution earthquake damage and loss assessment for buildings from FEMA P58

SP

M

Implemented

R2D.4.3

Ability to include building-level wind damage and loss assessment from HAZUS

SP

M

R2D.4.4

Ability to include building-level water damage and loss assessment from HAZUS

SP

M

R2D.4.5

Ability to include earthquake damage and loss assessment for transportation networks from HAZUS

SP

M

InProgress

R2D.4.6

Ability to include earthquake damage and loss assessment for buried pipelines from HAZUS

SP

M

InProgress

R2D.4.7

Ability to include earthquake damage and loss assessment for power lines from HAZUS

SP

M

InProgress

R2D.4.8

Ability to include high-resolution wind damage and loss assessment for buildings

SP

M

InProgress

R2D.4.9

Ability to include high-resolution water damage and loss assessment for buildings

SP

M

InProgress

R2D.4.10

Ability to include high-resolution damage and loss assessment for transportation networks

SP

M

InProgress

R2D.4.11

Ability to include high-resolution damage and loss assessment for buried pipelines

SP

M

InProgress

R2D.5

Include Different Response/Recovery options

GC

M

InProgress

R2D.5.1

Response/Recovery options for households

SP

M

R2D.5.2

Response/Recovery options for infrastructure

SP

M

R2D.5.3

Response/Recovery options for business operations

SP

M

R2D.5.4

Response/Recovery and Effect on Environment

SP

M

InProgress

R2D.5.4.1

CO2 emissions from demolition and repair

SP

M

R2D.6

Present results using GIS so communities can visualize hazard impacts

GC

M

Implemented

R2D.6.1

Ability to use popular ArcGIS for visualization

SP

M

Implemented

R2D.6.2

Ability to include open-source ArcGIS alternatives

SP

P

Implemented

R2D.6.3

Ability to capture uncertainty of results in visualization

SP

P

InProgress

R2D.6.4

Features to visualize environmental impact

SP

P

R2D.7

Software Features

GC

M

InProgress

R2D.7.1

Ability to include a formal treatment of uncertainty and randomness

GC

M

Implemented

R2D.7.2

Ability to utilize HPC resources in regional simulations that enables repeated simulation for stochastic modeling

GC

M

Implemented

R2D.7.3

Ability to use a tool created by linking heterogeneous array of simulation tools to provide a toolset for regional simulation

GC

M

Implemented

R2D.7.4

Provide open-source software for developers to test new data and algorithms

GC

M

Implemented

R2D.7.5

Ability of stakeholders to perform simulations of different scenarios that aid in planning and response after damaging events

GC

M

R2D.7.7

Ability to explore different strategies in community development, pre-event, early response, and post event, through long term recovery

GC

P

R2D.7.8

Ability to use system that creates and monitors real-time data, updates models, incorporates crowdsourcing technologies, and informs decision makers

GC

P

R2D.7.9

Ability to use sensor data to update models for simulation and incorporate sensor data into simulation

GC

P

R2D.7.10

Ability to include latest information and algorithms (i.e. new attenuation models, building fragility curves, demographics, lifeline performance models, network interdependencies, indirect economic loss)

GC

D

InProgress

R2D.7.11

Incorporate programs that can address lifeline network disruptions and network interdependencies

GC

M

InProgress

R2D.7.12

Application to provide common SimCenter research application requirements listed in CR (not already listed above)

GC

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

2. PBE

Table 2.4 Requirements - PBE

#

Description

Source

Priority

Status

PBE

Integrate fully coupled multi-model computations from hazard source through structure response, to compute reliable estimates of financial loss, business interruption, and casualties

GC

M

InProgress

PBE.1

Ability to determine damage and loss for multiple different hazards

GC

M

InProgress

PBE.1.1

Damage and Loss due to ground shaking from Earthquake

GC

M

Implemented

PBE.1.2

Damage and Loss due to Wind Loading

GC

M

InProgress

PBE.1.3

Damage and Loss due to water damage from Tsunami or Coastal Inundation

GC

M

InProgress

PBE.2

Ability to Select from Different Hazard Options

PBE.2.1

Ability to select from all EE-UQ Event Options listed in EE-UQ

SP

M

Implemented

PBE.2.2

Ability to select from all WE-UQ Event Options listed in WE-UQ

SP

M

InProgress

PBE.2.3

Ability to select from all HydroUQ Event Options listed in Hydro-UQ

SP

M

InProgress

PBE.3

Ability to use different Model Generation Tools

PBE.3.1

Ability to Select All Building Model Generators in EE-UQ

SP

M

Implemented

PBE.3.2

Ability to Select All Building Model Generators in WE-UQ

SP

M

InProgress

PBE.3.3

Ability to Select All Building Model Generators in HydroUQ

SP

M

InProgress

PBE.4

Ability to use Various UQ Methods and Variable Options

PBE.4.1

Ability to use all forward propagation methods available in EE-UQ, WE-UQ and HydroUQ

SP

M

Implemented

PBE.4.2

Ability to use all random variable distributions in EE-UQ, WE-UQ and HydroUQ

SP

M

Implemented

PBE.4.3

Ability to use train surrogate models using the methods from quoFEM

SP

D

InProgress

PBE.5

Ability to determine damage and loss utilizing different methods

SP

M

Implemented

PBE.5.1

Interface with pelicun to make available its suite of methods for damage and loss assessment for buildings

SP

M

Implemented

PBE.6

Miscelleneous User Requests

PBE.6.1

Ability to Process own Output Parameters

UF

D

PBE.6.2

Add to Standard Earthquake a variable indicating analysis failure

UF

D

PBE.6.3

Allow users to provide their own set of EDPs for the analysis.

UF

D

Implemented

PBE.6.4

Simplify run local and run remote by removing workdir locations. Move to preferences

UF

D

Implemented

PBE.6.5

Add to EDP a variable indicating analysis failure

UF

D

PBE.6.6

Enable saving and loading Performance Models in CSV files

UF

D

Implemented

PBE.7

General Software Requirements

PBE.7.1

Application to Provide Common SimCenter Research Application Requirements listed in CR

GC

M

InProgress

PBE.7.2

Ability to use new vizualization tools for viewing large datasets generated by PBE

GC

M

Implemented

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

3. WE-UQ Requirements

Table 3.1 Requirements - WE

#

Description

Source

Priority

Status

WE

Application to determine response of Building Subject to Wind Loading including formal treatment of randomness and uncertainty uncertainty

InProgress

WE.1

Adaptation of non-linear analysis methods used in seismic design

GC

M

Implemented

WE.1.1

Include ability to create models incorprating options listed in MOD under BM

SP

M

Implemented

WE.1.2

Include ability to perform nonlinear analysis on the building models listed in ANA

SP

M

Implemented

WE.2

Ability to select from Wind Loading Options listed in WL2

SP

M

Implemented

WE.3

Ability to use Various UQ Methods and Variable Options

WE.3.1

Ability to use Forward Propagtion methods listed in UQ under UF

SP

M

Implemented

WE.3.2

Ability to use Reliability Methods listed in UQ under UR

SP

M

Implemented

WE.3.3

Ability to use Global Sensitivity Methods listed in UQ under UG

SP

M

Implemented

WE.3.4

Ability to both use and create surrogates listed in UQ under US

SP

M

WE.3.5

Ability to use High Dimensional UQ listed in UQ under UH

SP

M

WE.4

Ability to see pressure distribution on buildings

GC

M

WE.5

Ability to obtain basic building responses

SP

M

WE.6

Ability to Visualize the Results

SP

M

Implemented

WE.6.1

Ability to view individual sample results

SP

M

Implemented

WE.6.2

Ability to graphically view the results to show distribution in respone

SP

M

Implemented

WE.7

Miscelleneous User Requests

WE.7.1

Ability to Process own Output Parameters

UF

M

Implemented

WE.7.2

Ability to Remove from Results certain Samples,e.g. ones that failed in analysis

UF

M

Implemented

WE.7.3

Create a digital twin of the Wall of Wind facility to allow researchers to simulate experiments

UF

M

WE.8

Tool should incorporate data from www

GC

M

Implemented

WE.8.1

Tool could obtain loading from Vortex Winds over www

SP

M

Implemented

WE.8.2

Tool should obtain loading info from TPU wind tunnel tests

SP

D

Implemented

WE.8.3

Tool should obtain building modelling info from database through www

SP

D

WE.9

General Software Requirements

WE.9.1

Application to Provide Common SimCenter Research Application Requirements listed in CR

GC

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

4. Hydro-UQ Requirements

Table 4.2 Requirements - H

#

Description

Source

Priority

Status

H

Application to determine response of Building Subject Water Action due to Storm Surge or Tsunami including formal treatment of randomness and uncertainty

InProgress

H.1

Quantification of flood-borne debris hazards

GC

M

H.2

Effects of over-land flow,including waves, debris, flood velocity, wind-driven influences, erosion effects at buildings and channeling effects of the built environment

GC

D

H.3

Ability to select from all Loading Options listed in HL2

SP

M

InProgress

H.4

Ability to select from Building Modeling Options listed in MOD under BM

SP

M

InProgress

H.5

Include ability to perform nonlinear analysis on the building models listed in ANA

SP

M

InProgress

H.6

Ability to use Various UQ Methods and Variable Options

H.6.1

Ability to use Forward Propagtion methods listed in UQ under UF

SP

M

InProgress

H.6.2

Ability to use Random Variable Distributions defeined in RV

SP

M

H.6.3

Ability to use Reliability Methods listed in UQ under UR

SP

M

InProgress

H.6.4

Ability to use Global Sensitivity Methods listed in UQ under UG

SP

M

InProgress

H.6.5

Ability to both use and create surrogates listed in UQ under US

SP

M

H.6.6

Ability to use High Dimensional UQ listed in UQ under UH

SP

M

H.7

Ability to Visualize the Results

SP

M

InProgress

H.7.1

Ability to view individual sample results

SP

M

InProgress

H.7.2

Ability to graphically view the results to show distribution in respone

SP

M

InProgress

H.8

Miscelleneous User Requests

H.8.1

Ability to quickly model experimental tests perform in OSU wave tank

UF

M

H.9

General Software Requirements

H.9.1

Application to Provide Common SimCenter Research Application Requirements listed in CR

GC

M

InProgress

H.10

Tool should incorporate data from www

GC

M

H.10.1

Tool should use satelite imagery in aid of determine channeling effect

SP

D

H.10.2

Tool should use satelite imagery in aid of determining amount of debris

SP

D

H.10.3

Tool should obtain building modelling info from database through www

SP

D

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

5. EE-UQ Requirements

Table 5.1 Requirements - EE

#

Description

Source

Priority

Status

EE

Application to determine response of Building Subject to Earthquake hazard including formal treatment of randomness and uncertainty

GC

M

InProgress

EE.1

Ability to select from Earthquake Loading Options listed in EL2

SP

M

Implemented

EE.2

Ability to select from Building Modeling Options listed in MOD under BM

SP

M

Implemented

EE.3

Ability to select from nonlinear analysis options listed in ANA

SP

M

Implemented

EE.4

Ability to use Various UQ Methods and Variable Options**

EE.4.1

Ability to use Forward Propagtion methods listed in UQ under UF

SP

M

Implemented

EE.4.2

Ability to use Random Variable Distributions defined in RV

SP

M

EE.4.3

Ability to use Reliability Methods listed in UQ under UR

SP

M

Implemented

EE.4.4

Ability to use Global Sensitivity Methods listed in UQ under UG

SP

M

Implemented

EE.4.5

Ability to both use and create surrogates listed in UQ under US

SP

M

EE.4.6

Ability to use High Dimensional UQ listed in UQ under UH

SP

M

EE.5

Ability to Visualize the Results

SP

M

Implemented

EE.5.1

Ability to view individual sample results

SP

M

Implemented

EE.5.2

Ability to graphically view the results to show distribution in response

SP

M

Implemented

EE.6

Miscellaneous User Requests

EE.6.1

Add to Standard Earthquake a variable indicating analysis failure

UF

D

EE.6.3

Run application from command line, include option to run remotely

UF

D

EE.7

General Software Requirements

EE.7.1

Application to Provide Common SimCenter Research Application Requirements listed in CR

GC

M

InProgress

EE.8

Tool should incorporate data from www

GC

M

Implemented

EE.8.1

Tool should obtain motion input data from www

SP

M

Implemented

EE.8.2

Tool should obtain building modelling info from database through www

SP

D

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

6. quoFEM Requirements

Table 6.1 Requirements - QF

#

Description

Source

Priority

Status

QF

Application to promote and aid use of UQ methods in NHE research for response estimation, surrogate modeling, and calibration

GC

M

InProgress

QF.1

Ability to use Various UQ Methods and Variable Options

QF.1.1

Ability to use Forward Propagtion methods listed in UQ under UF

SP

M

Implemented

QF.1.2

Ability to use Random Variable Distributions defined in RV

SP

M

QF.1.3

Ability to use Reliability Methods listed in UQ under UR

SP

M

Implemented

QF.1.4

Ability to use Global Sensitivity Methods listed in UQ under UG

SP

M

Implemented

QF.1.5

Ability to both use and create surrogates listed in UQ under US

SP

M

InProgress

QF.1.6

Ability to use High Dimensional UQ listed in UQ under UH

SP

M

InProgress

QF.1.7

Ability to use Bayesian Calibration methods listed in UQ under UB

SP

M

QF.1.8

Ability to use Nonlinear Least Squares methods listed in UQ under UN

SP

M

Implemented

QF.2

Ability to use Different Simulation Applications

QF.2.1

Ability to use OpenSees

SP

M

Implemented

QF.2.2

Ability to use OpenSeesPy

SP

M

Implemented

QF.2.3

Ability to use OpenSeesPy

UF

M

Implemented

QF.2.3

Ability to Incorporate User Own Applications

UF

M

Implemented

QF.3

Ability to Visualize the Results

SP

M

Implemented

QF.3.1

Ability to view individual sample results

SP

M

Implemented

QF.3.2

Ability to graphically view the results to show distribution in respone

SP

M

Implemented

QF.3.2

Ability to view statistical measures of response

SP

M

Implemented

QF.4

Miscellaneous User Requests

QF.4.1

Run application from command line, include option to run remotely

UF

D

QF.5

General Software Requirements

QF.5.1

Application to Provide Common SimCenter Research Application Requirements listed in CR

GC

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

7. Earthquake Loading Requirements

Table 7.1 Requirements - EL

#

Description

Source

Priority

Status

EL.1

Regional Scale Earthquake Hazard Simulation Options

_

_

_

EL.1.1

Coupling of multi-scale nonlinear models from the point of rupture through rock and soil into structure

_

_

_

EL.1.1.1

Replacement of empirical linear models with multi-scale nonlinear models

GC

D

_

EL.1.1.2

Include both multi-scale and multi-phase (account for liquefaction)

GC

M

_

EL.1.1.3

Interface between asset and regional simulations using site response method

SP

M

InProgress

EL.1.1.4

Interface between asset and regional simulations using DRM method

SP

M

_

EL.1.2

Method to include both the intra-event residual and inter-event residual in simulating spatial correlated ground motion intensity measures with multiple correlation model options. Select site-specific ground motions from PEER to match target intensity

SP

M

Implemented

EL.1.3

Use GIS-Specified Matrix of Recorded Motions

SP

M

Implemented

EL.2

Select from Multiple Local Scale Earthquake Hazard Options

_

_

_

EL.2.1

Coupling of multi-scale nonlinear models from the point of rupture through rock and soil into structure

_

_

_

EL.2.1.1

Select using default selection options

SP

D

Implemented

EL.2.1.2

Select using all options available at PEER site

UF

D

Implemented

EL.2.1.3

Select using user-supplied spectrum

UF

D

Implemented

EL.2.2

Ability to select utilizing PEER NGA_West web service

SP

D

Implemented

EL.2.3

Ability to select from a list of user-supplied PEER motions

SP

M

Implemented

EL.2.4

Ability to select from a list of SimCenter motions

SP

M

Implemented

EL.2.5

Ability to use OpenSHA and selection methods to generate motions

UF

D

_

EL.2.6

Ability to Utilize Own Application in Workflow

SP

M

Implemented

EL.2.7

Ability to use Broadband

_

_

_

EL.2.7.1

1D nonlinear site response with effective stress analysis

SP

M

Implemented

EL.2.7.2

Nonlinear site response with bidirectional loading

SP

M

Implemented

EL.2.7.3

Nonlinear site response with full stochastic characterization of soil layers

SP

M

Implemented

EL.2.7.4

Nonlinear site response, bidirectional different input motions

SP

M

_

EL.2.8

Ability to include Soil-Structure Interaction Effects

_

_

_

EL.2.8.1

per Vlachos, Papakonstantinou, Deodatis (2017)

SP

D

Implemented

EL.2.8.2

per Dabaghi, Der Kiureghian (2017)

UF

D

Implemented

EL.2.9

Ability to select from synthetic ground motions

SP

M

Implemented

EL.2.10

Ability to select surrogate modeling events

SP

M

Implemented

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

8. Wind Loading Requirements

Table 8.1 Requirements - WL

#

Description

Source

Priority

Status

WL.1

Regional Loading due to Wind Hazards

_

_

_

WL.1.1

Regional Hurricane Wind Options

_

_

_

WL.1.1.1

Utilize GIS and online to account for wind speed given local terrain, topography and nearby buildings

GC

D

_

WL.1.1.2

MultiScale Wind Models

SP

D

_

WL.1.1.3

Multi-scale models for wind and water flows, i.e. lower fidelity regional models with more refined models to capture local flow

SP

D

_

WL.1.2

Modeling and simulation for determination of wind loads due to non-synoptic winds, including tornadoes

GC

D

_

WL.1.3

Interface with NOAA

SP

D

Implemented

WL.2

Local Scale Wind Hazard Options

_

_

_

WL.2.1

Utilize Extensive wind tunnel datasets in industry and academia for a wide range of building shapes

_

_

_

WL.2.1.1

Accommodate Range of Low Rise building shapes

_

_

_

WL.2.1.1.1

Flat Shaped Roof - TPU dataset

SP

M

Implemented

WL.2.1.1.2

Gable Shaped Roof - TPU dataset

SP

M

InProgress

WL.2.1.1.3

Hipped Shaped Roof - TPU dataset

SP

M

InProgress

WL.2.1.2

Accommodate Range of High Rise building

SP

M

InProgress

WL.2.1.3

Non-Isolated Low Rise Buildings - TPU dataset

SP

M

InProgress

WL.2.2

Interface with data-driven Interface with Vortex Winds DEDM-HRP Web service

SP

M

Implemented

WL.2.3

Accommodate Data from Wind Tunnel Experiment

SP

M

Implemented

WL.2.4

Simple CFD model generation and turbulence modeling

GC

M

Implemented

WL.2.5

Computational Fluid Dynamics tool for utilizing open source CFD software for practitioners

_

_

_

WL.2.5.1

Uncoupled OpenFOAM CFD model with nonlinear FEM code for building response

SP

M

Implemented

WL.2.5.2

Coupled OpenFOAM CFD model with linear FEM code for building response

SP

M

InProgress

WL.2.5.3

Inflow Conditions for non-synoptic winds

GC

M

_

WL.2.6

Quantification of Effects of Wind Borne Debris

GC

D

_

WL.2.7

Ability to utilize synthetic wind loading algorithms per Wittig and Sinha

SP

D

Implemented

WL.2.8

Hazard modification by terrain, topography, and nearby buildings

GC

D

_

WL.2.9

Probabilistic methods are needed to enable site-specific and storm-type specific characterization of likely debris types, weights, and speeds

GC

D

_

WL.2.10

Joint description for hurricane wind, storm surge, and wave hazards

GC

D

_

WL.2.11

Libraries of high-resolution hurricane wind/surge/wave simulations

GC

M

InProgress

WL.2.12

Multi-scale models for wind and water flows, i.e. lower fidelity regional models with more refined models to capture local flow

SP

M

InProgress

WL.2.13

Ability to select surrogate modeling events

SP

M

_

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

9. Surge/Tsunami Loading Requirements

Table 9.1 Requirements - HL

#

Description

Source

Priority

Status

HL.1

Regional Loading due to Storm Surge/Tsunami Hazards

_

_

_

HL.1.1

Multi-scale models for wind and water flows, i.e. lower fidelity regional models with more refined models to capture local flow

SP

D

_

HL.2

Local Scale Storm Surge/Tsunami Hazard Options

_

_

_

HL.2.1

Using computational fluid dynamics to model interface and impact between water loads and buildings

_

_

_

HL.2.1.1

CFD to model fluid flow around a single rigid structure

SP

M

InProgress

HL.2.1.2

Mesh refinement around structures

SP

M

InProgress

HL.2.1.3

CFD to model fluid flow around a single deformable structure

SP

M

InProgress

HL.2.1.4

CFD to model fluid flow considering inflow and accumulation of fluid inside a rigid structure

SP

M

_

HL.2.1.5

CFD to model fluid flow considering inflow, accumulation, and possible outflow of fluid across a deformable structure

SP

M

_

HL.2.3

load combinations need to be developed to account for the simultaneous impacts of various flood forces, such as those generated by breaking waves, moving water and flood-borne debris

GC

_

_

HL.2.5

Multi-scale models for wind and water flows, i.e., lower fidelity regional models with more refined models to capture local flow

_

_

_

HL.2.5.1

Interface GeoClaw and OpenFOAM

SP

M

_

HL.2.5.2

Interface AdCirc and OpenFOAM

SP

M

_

HL.2.6

Libraries of high-resolution hurricane wind/surge/wave simulations

_

_

_

HL.2.6.1

Develop a simulation library of GeoClaw simulations

SP

M

_

HL.2.6.2

Develop a simulation library of AdCirc simulations

SP

M

_

HL.2.6.3

Develop a simulation library of OpenFOAM simulations

SP

M

_

HL.2.7

Ability to simulate with surrogate models as an alternative to full 3D CFD

SP

M

InProgress

HL.2.8

Develop digital twin with OSU wave Tank Facility

SP

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

10. UQ Requirements

Table 10.1 Requirements - Uncertainty Quantification Methods and Variables

#

Description

Source

Priority

Status

UF.1

Ability to use basic Monte Carlo and LHS methods

SP

M

Implemented

UF.2

Ability to use Gaussian Process Regression

SP

M

Implemented

UF.3

Ability to use Own External UQ Engine

SP

M

_

UF.4

Ability to use Multi-Scale Monte Carlo

SP

M

_

UF.5

Ability to use Multi-Fidelity Models

SP

M

InProgress

UR.1

Ability to use First Order Reliability method

SP

M

Implemented

UR.2

Ability to use Second Order Reliability method

SP

M

Implemented

UR.3

Ability to use Surrogate Based Reliability

SP

M

Implemented

UR.4

Ability to use Importance Sampling

SP

M

Implemented

UG.1

Ability to obtain Global Sensitivity Sobol indices

UF

M

Implemented

UG.2

Ability to use probability model-based global sensitivity analysis (PM-GSA)

SP

M

Implemented

US.1

Ability to Construct Gaussian Process (GP) Regression Model from a Simulation Model

SP

M

InProgress

US.2

Ability to Construct GP Regression Model from Input-output Dataset

SP

M

InProgress

US.3

Ability to use Surrogate Model for UQ Analysis

SP

M

InProgress

US.4

Ability to Save the Surrogate Model

SP

M

InProgress

US.5

Ability to Use Adaptive Design of Experiments

SP

M

InProgress

US.6

Ability to Assess Reliability of Surrogate Model

SP

M

Implemented

US.7

Ability to Build Surrogate Under Stochastic Excitation

SP

M

InProgress

US.8

Ability to Use Physics-Informed Machine Learning

SP

M

_

UN.1

Ability to use Gauss-Newton solvers for parameter estimation

SP

M

Implemented

UN.2

Ability to read calibration data from a file

UF

M

Implemented

UN.3

Ability to handle non-scalar response quantities

UF

M

Implemented

UB.1

Ability to use DREAM algorithm for Bayesian inference

SP

M

Implemented

UB.2

Ability to use TMCMC algorithm for Bayesian inference

SP

M

Implemented

UB.3

Ability to read calibration data from a file

UF

M

Implemented

UB.4

Ability to handle non-scalar response quantities

UF

M

Implemented

UB.5

Ability to calibrate multipliers on error covariance

UF

M

Implemented

UB.6

Ability to use a default log-likelihood function

UF

M

Implemented

UB.7

Ability to use Kalman Filtering

UF

M

_

UB.8

Ability to use Particle Filtering

UF

M

_

UH.1

Ability to sample from manifold

SP

M

Implemented

UH.2

Ability to build Reduced Order Model

SP

M

_

UO.1

Ability to use User-Specified External UQ Engine

SP

M

Implemented

UO.2

Ability to use Own External FEM Application

UF

M

Implemented

UM.1

Ability to use various Reliability Methods

UM.1.1

Ability to use First Order Reliability Method

UF

M

Implemented

UM.1.2

Ability to use Surrogate Based Reliability

UF

M

_

UM.1.3

Ability to use Own External Application to generate Results

UF

M

Implemented

UM.2

Ability to user various Sensitivity Methods

UM.2.1

Ability to obtain Global Sensitivity Sobol’s indices

UF

M

Implemented

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

11. RV Requirements

Table 11.1 Requirements - Random Variables

#

Description

Source

Priority

Status

RV.1

Various Random Variable Probability Distributions

RV.1.1

Normal

SP

M

Implemented

RV.1.2

Lognormal

SP

M

Implemented

RV.1.3

Uniform

SP

M

Implemented

RV.1.4

Beta

SP

M

Implemented

RV.1.5

Weibull

SP

M

Implemented

RV.1.6

Gumbel

SP

M

Implemented

RV.2

User-defined Distribution

SP

M

_

RV.3

Define Correlation Matrix

SP

M

Implemented

RV.4

Random Fields

SP

M

_

RV.5

Ability to View Graphically the density function when defining the RV

UF

D

Implemented

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

12. Modeling Requirements

Table 12.1 Requirements - MOD

#

Description

Source

Priority

Status

BM.1

Ability to quickly create a simple nonlinear building model for simple methods of seismic evaluation

GC

D

Implemented

BM.2

Ability to use existing OpenSees model scripts

SP

M

Implemented

BM.3

Ability to define a building and use Expert System to generate FE mesh

SP

D

_

BM.4

Ability to define a building and use Machine Learning applications to generate FE

GC

D

_

BM.5

Ability to specify connection details for member ends

UF

D

_

BM.6

Ability to define a user-defined moment-rotation response representing the connection details

UF

D

_

BM.7

Ability to incoporate AutoSDA Steel Design Application in Local Applications

UF

M

Implemented

BM.8

Ability to use user-supplied Python script to generate mesh

UF

M

Implemented

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

13. Analysis Requirements

Table 13.1 Requirements - ANA

#

Description

Source

Priority

Status

ANA.1

Ability to select from different Nonlinear Analysis options

_

_

_

ANA.1.1

Ability to specify OpenSees as FEM engine and to specify different analysis options

SP

M

Implemented

ANA.1.2

Ability to provide own OpenSees Analysis script to OpenSees engine

SP

D

Implemented

ANA.1.3

Ability to provide own Python script and use OpenSeesPy engine

SP

D

_

ANA.1.4

Ability to use alternative FEM engines

SP

M

_

ANA.2

Ability to know if an analysis run fails

UF

M

_

ANA.3

Ability to specify Modal Damping

_

_

_

ANA.3.1

Ability to specify damping ratio as a random variable

UF

M

Implemented

ANA.3.2

When using Rayleigh Damping, ability to specify the two modes used to calculate damping parameters

UF

M

Implemented

ANA.4

Ability to run for more than 60hours at DesignSafe

UF

D

_

ANA.5

Ability to specify the number of iterations in convergence test

UF

M

Implemented

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

14. Damage & Loss Requirements

Table 14.1 Requirements - DL

#

Description

Source

Priority

Status

DL.1

Ability to use the open-source version of Hazus

GC

M

Implemented

DL.2

Ability to incorporate improved damage and fragility models for buildings and lifelines

GC

M

InProgress

DL.3

Ability to perform time-based assessment

GC

M

Implemented

DL.4

Methods for DL Prediction for Buildings for Various Hazards

_

_

_

DL.4.1

Incorporate PACT application for earthquake hazard

SP

D

_

DL.4.2

Ability to perform downtime estimation using the REDi methodology for earthquakes.

UF

D

_

DL.4.3

Incorporate Various Methods from PELICUN

_

_

_

DL.4.3.1

Incorporate the scenario-based assessment from FEMA-P58

item P6.1.1

SP

M

DL.4.3.2

Incorporate the time-based assessment from FEMA-P58

item P1.1.2

SP

D

DL.4.3.3

Incorporate high-resolution assessment of buildings under wind hazards

item P1.1.3

SP

M

DL.4.3.4

Incorporate high-resolution assessment of buildings under water hazards

item P1.1.4

SP

M

DL.4.3.5

Incorporate high-resolution assessment of transportation networks

item P1.1.5

SP

M

DL.4.3.6

Incorporate high-resolution assessment of buried pipelines

item P1.1.6

SP

M

DL.4.3.7

Incorporate the assessment of buildings under earthquake hazard from HAZUS

P1.2.1

SP

M

DL.4.3.8

Incorporate the assessment of buildings under hurricane wind hazard from HAZUS

item P1.2.2

SP

M

DL.4.3.9

Incorporate the assessment of buildings under storm surge hazard from HAZUS

item P1.2.3

SP

M

DL.4.3.10

Incorporate the assessment of buried pipelines under earthquake hazard from HAZUS

item P1.2.4

SP

M

DL.4.3.11

Incorporate the assessment of transportation networks under earthquake hazard from HAZUS

item P1.2.5

SP

M

DL.4.3.12

Incorporate the assessment of power networks under earthquake hazard from HAZUS

item P1.2.6

SP

M

DLD.1

Data Sources

_

_

_

DLD.1.1

Make the component fragility and consequence functions from FEMA P58 available

_

_

_

DLD.1.1.1

FEMA P58 First Edition

SP

M

Implemented

DLD.1.1.2

FEMA P58 Second Edition

UF

M

Implemented

DLD.1.1.3

Extend FEMA P58 Second Edition consequence functions with environmental impact parameters

SP

M

Implemented

DLD.1.2

Make the building fragility and consequence functions from HAZUS available

_

_

_

DLD.1.2.1

HAZUS earthquake damage and reconstruction cost and time

SP

M

Implemented

DLD.1.2.2

HAZUS hurricane wind damage and reconstruction cost and time

SP

M

Implemented

DLD.1.2.3

HAZUS storm surge damage and reconstruction cost and time

SP

M

_

DLD.1.3

Make the lifeline fragility and consequence functions from HAZUS available

_

_

_

DLD.1.3.1

HAZUS bridge damage and reconstruction cost and time

SP

M

InProgress

DLD.1.3.2

HAZUS buried pipeline damage and reconstruction cost and time

SP

M

InProgress

DLD.1.3.3

HAZUS power network damage and reconstruction cost and time

SP

M

_

DLD.1.4

Extend available high-resolution building damage and loss model parameters

_

_

_

DLD.1.4.1

Building damage and loss model parameters under wind hazards

SP

M

_

DLD.1.4.2

Building damage and loss model parameters under water hazards

SP

M

_

DLD.1.5

Make high-resolution damage and loss model parameters available for lifelines

_

_

_

DLD.1.5.1

Transportation network damage and loss model parameters

SP

M

_

DLD.1.5.2

Buried pipeline network damage and loss model parameters

SP

M

_

DLD.2

Data Storage

_

_

_

DLD.2.1

Generic JSON format

_

_

_

DLD.2.1.1

Develop a generic JSON data format for component fragility and consequence functions

SP

D

Implemented

DLD.2.1.2

Store FEMA P58 and HAZUS component data in the new JSON format and make them available

SP

D

Implemented

DLD.2.2

HDF5 Data Storage

_

_

_

DLD.2.2.1

Store the JSON files in an HDF5 data structure for each data source

SP

M

Implemented

DLD.2.3

Online Database

_

_

_

DLD.2.3.1

Create an online database for storing parameters of damage and loss models for buildings

SP

M

Implemented

DLD.2.3.2

Extend online database to store parameters of damage and loss models for transportation networks

SP

M

Implemented

DLD.2.3.3

Extend online database to store parameters of damage and loss models for buried pipeline networks

SP

M

Implemented

DLD.2.3.4

Populate building database with high-resolution model parameters from researchers

SP

M

_

DLD.2.3.5

Populate lifeline database with high-resolution model parameters from researchers

SP

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

15. Recovery Requirements

Table 15.1 Requirements - REC

#

Description

Source

Priority

Status

REC.1

Building Recovery

_

_

_

REC.1.1

Incorporate advanced methods for building recovery time estimation

SP

M

_

REC.2

Housing and Community Recovery

_

_

_

REC.2.1

Incorporate modeling of the recovery of households and communities

SP

M

_

REC.3

Infrastructure Recovery

_

_

_

REC.3.1

Incorporate modeling of the recovery of transportation networks

SP

M

_

REC.3.2

Incorporate modeling of the recovery of buried pipeline networks

SP

M

_

REC.3.3

Incorporate modeling of the recovery of power networks

SP

M

_

REC.4

Business Recovery

_

_

_

REC.4.1

Incorporate modeling of the recovery of businesses

SP

M

_

REC.4.2

Ability to incorporate improved indirect economic loss estimation models

GC

M

_

REC.4.3

Ability to include demand surge in determination of losses

GC

M

_

REC.5

Interdependencies

_

_

_

REC.5.1

Implement a framework to model interdependencies between the recovery of various systems

SP

M

Implemented

REC.5.2

Ability to include lifeline disruptions

GC

M

_

REC.6

Metrics of recovery

_

_

_

REC.6.1

Implement metrics to inform recovery and community resilience based on the outputs of the available recovery models

SP

M

_

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

16. Common Research Application Requirements

Table 16.1 Requirements - CR

#

Description

Source

Priority

Status

CR.1

Open-source software where developers can test new data and develop algorithms

CR.1.1

Provide open-source applications utilizing code hosting platforms, e.g. GitHub

SP

M

Implemented

CR.1.2

Assign an open-source license that allows free use

SP

M

Implemented

CR.2

Ability to use multiple coupled resources (applications, databases, viz tools) by Practicing Engineers

CR.2.1

Allow users to launch scientific workflows

SP

M

Implemented

CR.3

Ability to utilize resources beyond the desktop including HPC

CR.3.1

Allow users to utilize HPC resources at TACC through DesignSafe

SP

M

Implemented

CR.4

Efficient use of multiple coupled and linked models requiring sharing and inter-operability of databases, computing environments, networks, visualization tools, and analysis systems

CR.4.1

Identify and include external analysis systems

SP

M

InProgress

CR.4.2

Identify and include external databases

SP

M

InProgress

CR.4.3

Identify and include external viz tools

SP

M

InProgress

CR.4.4

Identify and include external computing env

SP

M

Inprogress

CR.5

Tool available for download from web

CR.5.1

Tool downloadable from DesignSafe website

GC

M

Implemented

CR.6

Ability to benefit from programs that move research results into practice and obtain training

CR.6.1

Ability to use educational provisions to gain interdisciplinary education for expertise in earth sciences and physics, engineering mechanics, geotechnical engineering, and structural engineering to be qualified to perform these simulations

GC

D

_

CR.6.2

Documentation exists demonstrating application usage

SP

M

Implemented

CR.6.3

Video exists demonstrating application usage

SP

M

Implemented

CR.6.4

Tool training through online and in-person training events

SP

M

Implemented

CR.7

Verification examples exist

SP

M

Implemented

CR.8

Validation of proposed analytical models against existing empirical datasets

CR.8.1

Validation examples exist, validated against tests or other software

GC

M

_

CR.9

Tool to allow users to load and save user inputs

SP

M

Implemented

CR.10

Installer which installs application and all needed software

UF

D

_

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

17. BRAILS

Table 17.1 Requirements - BR

#

Description

Source

Priority

Status

BR.1

Need for scalable tools that autonomously create an accurate database of all infrastructure components, including points of inter- dependency with other infrastructure components

GC

M

InProgress

BR.2

Promote living community risk models utilizing local inventory data from various sources

GC

M

InProgress

BR.3

Developing and sharing standardized definitions, measurement protocols and strategies for data collection

GC

M

BR.4

Developing tools that utilize GIS information and online images, e.g. google maps, for data collection for gathering Building Information

GC

M

InProgress

BR.4.1

Develop framework for creating asset inventories

SP

M

Implemented

BR.4.2

Create workflow application for building inventory from framework modules

SP

M

Implemented

BR.4.2

Create workflow application for transportation network from framework modules

SP

M

Implemented

BR.5

Developing Modules for Asset Inventory Workflows identified in BR4

BR.5.1

Predicting if building is a soft-story building for earthquake simulations

UF

M

Implemented

BR.5.2

Predicting First Floor Height

SP

M

Implemented

BR.5.3

Predicting Roof Height

SP

M

Implemented

BR.5.4

Predicting Eave Height

SP

M

Implemented

BR.5.5

Predicting Eave Length

SP

D

Implemented

BR.5.6

Predicting Roof Shape

SP

M

Implemented

BR.5.7

Predicting Roof Pitch

SP

M

Implemented

BR.5.8

Predicting Roof Cover Material

SP

M

Implemented

BR.5.9

Predicting Window Area

SP

M

Implemented

BR.5.10

Predicting Number of Floors

SP

M

Implemented

BR.5.11

Classifying Elevated Building

SP

M

Implemented

BR.5.12

Predicting Occupancy Type

SP

M

Implemented

BR.5.13

Predicting Year Built

SP

M

Implemented

BR.5.14

Predicting Attached Garage

SP

M

Implemented

BR.5.15

Predicting Presence of Masonry Chimney

UF

D

Implemented

BR.5.16

Predicting Building Material

SP

M

InProgress

BR.5.17

Predicting Structural Type

SP

M

Implemented

BR.6

DesignSafe integration to provide access to GPU

Implemented

BR.6.1

Create JupyterHub notebook at DesignSafe for building asset inventory workflow usage

SP

M

InProgress

BR.6.2

For classification done at DesignSafe, store images and meta data for BE Database

SP

M

BR.6.3

Create JupyterHub notebook at DesignSafe for individual modules to demonstrate immediate results

SP

M

InProgress

BR.7

Work to improve existing performance models through Continous Learning

BR.7.1

Continous Learning for Year Built

SP

M

BR.7.2

Continous Learning for Roof Material

SP

M

BR.8

Work to gather data for Module Validation/Verification/Training

SP

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

18. PELICUN

Table 18.1 Requirements - P

#

Description

Source

Priority

Status

P.1

Existing Assessment Methods

P.1.1

Implement the high-resolution loss assessment methodologies

GC

P.1.1.1

Implement the scenario-based assessment from FEMA-P58

SP

M

Implemented

P.1.1.2

Implement the time-based assessment from FEMA-P58

SP

D

InProgress

P.1.1.3

Implement high-resolution assessment of buildings under wind hazards

SP

M

InProgress

P.1.1.4

Implement high-resolution assessment of buildings under water hazards

SP

M

InProgress

P.1.1.5

Implement high-resolution assessment of transportation networks

SP

M

InProgress

P.1.1.6

Implement high-resolution assessment of buried pipelines

SP

M

InProgress

P.1.2

Implement the efficient loss assessment methodologies from HAZUS

GC

InProgress

P.1.2.1

Implement the assessment of buildings under earthquake hazard from HAZUS

SP

M

Implemented

P.1.2.2

Implement the assessment of buildings under hurricane wind hazard from HAZUS

SP

M

Implemented

P.1.2.3

Implement the assessment of buildings under storm surge hazard from HAZUS

SP

M

P.1.2.4

Implement the assessment of buried pipelines under earthquake hazard from HAZUS

SP

M

InProgress

P.1.2.5

Implement the assessment of transportation networks under earthquake hazard from HAZUS

SP

M

InProgress

P.1.2.6

Implement the assessment of power networks under earthquake hazard from HAZUS

SP

M

InProgress

P.2

Control

P.2.1

Analysis & Data

P.2.1.1

Allow users to set the number of realizations

SP

M

Implemented

P.2.1.2

Allow users to customize fragility and consequence function parameters

SP

D

Implemented

P.2.1.3

Allow users to specify dependencies between logically similar parts of the stochastic models

SP

D

Implemented

P.2.2

Response Model

P.2.2.1

Allow users to specify the added uncertainty to EDPs (increase in log-standard dev.)

SP

M

Implemented

P.2.2.2

Allow users to specify the EDP ranges that correspond to reliable simulation results

SP

D

Implemented

P.2.2.3

Allow users to specify the type of distribution they want to fit to the empirical EDP data

UF

D

Implemented

P.2.2.4

Allow users to choose if they want to fit a distribution only to the non-collapsed EDPs

UF

M

Implemented

P.2.3

Performance Model

P.2.3.1

Allow users to prescribe a different number of inhabitants on each floor

SP

D

Implemented

P.2.3.2

Allow users to customize the temporal distribution of inhabitants

SP

D

Implemented

P.2.3.3

Allow users to prescribe different component quantities for each floor in each direction

SP

D

Implemented

P.2.3.4

Allow users to specify the number of component groups and their quantities in each performance group

UF

D

Implemented

P.2.4

Damage Model

P.2.4.1

Allow users to specify the residual drift limits that determine irrepairability

SP

D

Implemented

P.2.4.2

Allow users to specify the yield drift value that is used to estimate residual drifts from peak drifts

SP

D

Implemented

P.2.4.3

Allow users to specify the EDP limits that are used to determine collapse probability

SP

D

Implemented

P.2.4.4

Allow users to specify arbitrary collapse modes and their likelihood

SP

D

Implemented

P.2.4.5

Allow users to prescribe the collapse probability of the structure

UF

M

Implemented

P.2.5

Loss Model

P.2.5.1

Allow users to decide which DVs to calculate

SP

D

Implemented

P.2.5.2

Allow users to specify the likelihood of various injuries in each collapse mode

SP

D

Implemented

P.3

Hazard Model

InProgress

P.3.1

Hazard Occurrence Rate

P.3.1.1

Enable estimation of the likelihood of earthquake events

SP

M

P.3.1.2

Enable estimation of the likelihood of wind events

SP

M

P.3.1.3

Enable estimation of the likelihood of storm surge events

SP

M

P.3.1.4

Enable estimation of the likelihood of tsunami events

SP

M

P.4

Response Model

InProgress

P.4.1

EDP (re-)sampling

P.4.1.1

Enable coupled assessment by using raw EDP values as-is

UF

M

Implemented

P.4.1.2

Enable non-Gaussian EDP distributions

UF

D

P.4.2

EDP Identification

P.4.2.1

Implement automatic identification of required EDP types based on the performance model

SP

M

P.5

Performance Model

P.5.1

Auto-population of performance models

P.5.1.1

Implement framework to enable user-defined auto-population scripts

UF

D

Implemented

P.5.1.2

Prepare script to perform auto-population based on normative quantities in FEMA P58

UF

D

P.6

Damage Model

InProgress

P.6.1

Collapse estimation

P.6.1.1

Estimate collapse probability of the structure using EDP limits and the joint distribution of EDPs

SP

D

Implemented

P.6.1.2

Estimate the collapse probability of the structure using empirical (raw) EDP data

UF

M

Implemented

P.6.1.3

Enable user-defined collapse probability

UF

M

Implemented

P.6.2

Building Damage

P.6.2.1

Implement earthquake fragility functions for building components from FEMA P58

SP

M

Implemented

P.6.2.2

Implement earthquake fragility functions for buildings from HAZUS

SP

M

Implemented

P.6.2.3

Implement wind fragility functions for buildings from HAZUS

SP

M

Implemented

P.6.2.4

Implement inundation fragility functions for buildings from HAZUS

SP

M

Implemented

P.6.2.5

Implement high-resolution wind fragility functions for building components

SP

M

InProgress

P.6.2.6

Implement high-resolution inundation fragility functions for building components

SP

M

InProgress

P.6.3

Lifeline Damage

P.6.3.1

Implement earthquake fragility functions for buried pipelines from HAZUS

SP

M

InProgress

P.6.3.2

Implement earthquake fragility functions for bridges from HAZUS

SP

M

InProgress

P.6.3.3

Implement earthquake fragility functions for power networks from HAZUS

SP

M

P.6.3.4

Implement high-resolution fragility functions for buried pipelines

SP

M

InProgress

P.6.3.5

Implement high-resolution fragility functions for transportation networks

SP

M

InProgress

P.6.4

Cascading Damages

P.6.4.1

Implement fault tree-based cascading damage model

SP

M

InProgress

P.7

Loss Model

P.7.1

Consequence functions for buildings

P.7.1.1

Implement functions for repair cost and time as per FEMA P58

SP

M

Implemented

P.7.1.2

Implement functions for red tag triggering as per FEMA P58

SP

M

Implemented

P.7.1.3

Implement functions for injuries and fatalities as per FEMA P58

SP

M

Implemented

P.7.1.4

Implement functions for repair cost and time as per HAZUS earthquake

SP

M

Implemented

P.7.1.5

Implement functions for debris as per HAZUS earthquake

SP

D

P.7.1.6

Implement functions for business interruption as per HAZUS earthquake

SP

D

P.7.1.7

Implement functions for repair cost and time as per HAZUS wind

SP

M

Implemented

P.7.1.8

Implement functions for repair cost and time as per HAZUS inundation

SP

M

P.7.1.9

Implement functions for environmental impact estimation as per FEMA P58 2nd edition

SP

M

Implemented

P.7.1.10

Implement functions for high-resolution repair cost and time assessment for wind hazards

SP

M

InProgress

P.7.1.11

Implement functions for high-resolution repair cost and time assessment for water hazards

SP

M

InProgress

P.7.2

Consequence functions for other assets

P.7.2.1

Implement functions for repair cost and time for buried pipelines as per HAZUS earthquake

SP

M

Implemented

P.7.2.2

Implement functions for repair cost and time for bridges as per HAZUS earthquake

SP

M

InProgress

P.7.2.3

Implement functions for repair cost and time for power networks as per HAZUS earthquake

SP

M

P.7.2.4

Implement high-resolution functions for repair cost and time for transportation networks

SP

M

InProgress

P.7.2.5

Implement high-resolution functions for repair cost and time for buried pipelines

SP

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

19. BE Database

Table 19.1 Requirements - BE

#

Description

Source

Priority

Status

BE

Establish a National Infrastructure Data Base for characterizing the physical and natural infrastructure

GC

M

InProgress

BE.1

Ability to use cumulative knowledge bases rather than the piecemeal individual approaches

GC

M

BE.1.1

Utilize Federated Databases to maintain individual databases & data sources yet provide central database resource

SP

M

InProgress

BE.2

Include national building model inventories

GC

M

InProgress

BE.2.1

Incorporate Building data from existing datasets published by states, counties and cities

SP

M

InProgress

BE.2.2

Ingest building data from web-scraping techniques, e.g. from Zillow, county websites

SP

M

InProgress

BE.2.3

Ingest building data using AI/ML techniques and satellite and street-level images

SP

M

InProgress

BE.3

Incorporate transportation newtwork data from existing datasets made available through www

SP

M

InProgress

BE.3.1

Ingest additionally needed transportation netwwork data utilizing AI/ML and satellite and street-level images

SP

M

InProgress

BE.4

Include National Models of Utility Networks

GC

M

BE.4.1

Incorporate utility network data from existing datasets made available through www

SP

M

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)

20. DL Database

Table 20.1 Requirements - DLD

#

Description

Source

Priority

Status

DLD.1

Data Sources

_

_

_

DLD.1.1

Make the component fragility and consequence functions from FEMA P58 available

_

_

_

DLD.1.1.1

FEMA P58 First Edition

SP

M

Implemented

DLD.1.1.2

FEMA P58 Second Edition

UF

M

Implemented

DLD.1.1.3

Extend FEMA P58 Second Edition consequence functions with environmental impact parameters

SP

M

Implemented

DLD.1.2

Make the building fragility and consequence functions from HAZUS available

_

_

_

DLD.1.2.1

HAZUS earthquake damage and reconstruction cost and time

SP

M

Implemented

DLD.1.2.2

HAZUS hurricane wind damage and reconstruction cost and time

SP

M

Implemented

DLD.1.2.3

HAZUS storm surge damage and reconstruction cost and time

SP

M

_

DLD.1.3

Make the lifeline fragility and consequence functions from HAZUS available

_

_

_

DLD.1.3.1

HAZUS bridge damage and reconstruction cost and time

SP

M

InProgress

DLD.1.3.2

HAZUS buried pipeline damage and reconstruction cost and time

SP

M

InProgress

DLD.1.3.3

HAZUS power network damage and reconstruction cost and time

SP

M

_

DLD.1.4

Extend available high-resolution building damage and loss model parameters

_

_

_

DLD.1.4.1

Building damage and loss model parameters under wind hazards

SP

M

_

DLD.1.4.2

Building damage and loss model parameters under water hazards

SP

M

_

DLD.1.5

Make high-resolution damage and loss model parameters available for lifelines

_

_

_

DLD.1.5.1

Transportation network damage and loss model parameters

SP

M

_

DLD.1.5.2

Buried pipeline network damage and loss model parameters

SP

M

_

DLD.2

Data Storage

_

_

_

DLD.2.1

Generic JSON format

_

_

_

DLD.2.1.1

Develop a generic JSON data format for component fragility and consequence functions

SP

D

Implemented

DLD.2.1.2

Store FEMA P58 and HAZUS component data in the new JSON format and make them available

SP

D

Implemented

DLD.2.2

HDF5 Data Storage

_

_

_

DLD.2.2.1

Store the JSON files in an HDF5 data structure for each data source

SP

M

Implemented

DLD.2.3

Online Database

_

_

_

DLD.2.3.1

Create an online database for storing parameters of damage and loss models for buildings

SP

M

Implemented

DLD.2.3.2

Extend online database to store parameters of damage and loss models for transportation networks

SP

M

Implemented

DLD.2.3.3

Extend online database to store parameters of damage and loss models for buried pipeline networks

SP

M

Implemented

DLD.2.3.4

Populate building database with high-resolution model parameters from researchers

SP

M

_

DLD.2.3.5

Populate lifeline database with high-resolution model parameters from researchers

SP

M

InProgress

Key:
Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback
Priority: M=Mandatory, D=Desirable, P=Possible Future
Status: Implemented, InProgress and Blank (i.e. not started)