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)