6. Requirements

The purpose of presenting these requirements is to inform the community on the present capabilities of the quoFEM app and features that could be added. The original set of requirements have come from a set of grand challenge reports, GC. These original requirements have been broken into a smaller set of deliverable features by the senior faculty associated with the project, SP. Additional requirements have come from users, U See section features if you have additional features you would like to see.

6.1. quoFEM Requirements

Table 6.1.1 Requirements - QF

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 defeined 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.2.1	Ability to use OpenSees	SP	M	Implemented	qfem-0011/
QF.2.2	Ability to use OpenSeesPy	SP	M	Implemented	_
QF.2.3	Ability to Incorporate User Own Applications	UF	M	Implemented	qfem-0005/
QF.3.1	Ability to view individual sample results	SP	M	Implemented	core
QF.3.2	Ability to graphically view the results to show distribution in response	SP	M	Implemented	core
QF.3.3	Ability to view statistical measures of response	SP	M	Implemented	core
QF.4.1	Run application from command line, include option to run remotely	UF	D	_	_
QF.7.1	Application to Provide Common SimCenter Research Application Requirements listed in CR	GC	M	InProgresss	_

key:

Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback

Priority: M=Mandatory, D=Desirable, P=Possible Future

Status: Implements, InProgress and Blank (i.e. not started)

6.2. UQ Requirements

Table 6.2.1 Requirements - Uncertainty Quantification Methods and Variables

#	Description	Source	Priority	Status	Implementation
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 Asses 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 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 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: Implements, InProgress and Blank (i.e. not started)

6.3. RV Requirements

Table 6.3.1 Requirements - CR

#	Description	Source	Priority	Status	Implementation
RV.1	Various Random Variable Probability Distributions	_	_	_	_
RV.1.1	Normal	SP	M	Implemented	qfem-0001/
RV.1.2	Lognormal	SP	M	Implemented	qfem-0001/
RV.1.3	Uniform	SP	M	Implemented	qfem-0005/
RV.1.4	Beta	SP	M	Implemented	qfem-0002/
RV.1.5	Weibull	SP	M	Implemented	qfem-0002/
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	link

key:

Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback

Priority: M=Mandatory, D=Desirable, P=Possible Future

Status: Implements, InProgress and Blank (i.e. not started)

6.4. Common Research Application Requirements

Table 6.4.1 Requirements - CR

#	Description	Source	Priority	Status	Implementation
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	link
CR.1.2	Assign an open-source licensce that allows free use.	SP	M	Implemented	link
CR.2	Ability of Practicing Engineers to use multiple coupled resources (applications, databases, viz tools) in engineering practice	_	_	_	_
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	link
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 interdisclipinary education so as to gain expertise in earth sciences and physics, engineering mechanics, geotechnical engineering, and structural engineering in order to be qualified to perform these simulations	GC	D	_	_
CR.6.2	Documentation exists demonstrainting 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	_	link
CR.9	Tool to allow user to load and save user inputs	SP	M	Implemented	core
CR.10	Installer which installs application and all needed software	UF	D	_	link

key:

Source: GC=Needed for Grand Challenges, SP=Senior Personnel, UF=User Feedback

Priority: M=Mandatory, D=Desirable, P=Possible Future

Status: Implements, InProgress and Blank (i.e. not started)