5. Capabilities¶
Version 4.1 of EE-UQ app was released September 2024. The following lists the functionality available in this current version. (Note: New features and fixes in this release are marked in blue in the following list of features.)
5.1. Structural Information Model¶
Applications used to specify/select the structural model to be used in the analysis.
MDOF: creating idealized multi-degree-of-freedom models
OpenSees: user-defined OpenSees models
Steel Building Model: automating steel frame design and modeling
Concrete Building Model: automating concrete moment frame design and modeling
MDOF-LU: MDOF shear building model
SurrogateGP: surrogate model trained in EE-UQ
Multiple models: selecting multiple structural information models
5.2. Earthquake Motion Event¶
Applications used to specify/select ground motions for the structure.
Stochastic Ground Motion: simulating stochastic ground motion recordings
PEER NGA Records: selecting and scaling PEER NGA West2 ground motions
Site Response: propagating rock motions to the surface
Multiple PEER: using multiple PEER recordings
Multiple SimCenter: using multiple SimCenter-format recordings
User-specified Database: selecting and scaling ground motions from the user-specified flatfile
Physics-based ground motion simulations generated by the M9 project.
Physics-based ground motion using shakermaker
Domain Reduction Method (DRM)
5.3. Engineering Demand Parameter Generator¶
Applications to identify the output parameters of interest given the ground motion and structural model.
Standard Earthquake: maximum story drift ratio, lateral story displacement, peak floor acceleration
User Defined: user-specified EDP
None: used only for surrogate model-based predictions
5.4. Finite Element Application¶
Applications used to determine the response output parameters given the ground motion and structural model.
OpenSees: Open System for Earthquake Engineering Simulation
CustomPy-Simulation: user-provided python script`
None: used only for surrogate model-based predictions
Multiple models: selecting multiple finite element applications [<- renaming from Multimodel]
5.5. Uncertainty Quantification¶
Applications to perform the uncertainty quantification for the response parameters given the inputs and the random variables present.
Forward Uncertainty Propagation
Dakota Options
Monte Carlo Sampling (MCS)
Latin Hypercube Sampling (LHS)
Gaussian Process Regression
Polynomial Chaos Expansion
SimCenterUQ Options
Monte Carlo Sampling (MCS)
Resample from an existing correlated dataset of samples
Multi-fidelity Monte Carlo (MFMC)
Global Sensitivity Analysis
Dakota Sensitivity Options
MCS
LHS
SimCenterUQ Sensitivity Options
Probability Model-based Global Sensitivity Analysis (PM-GSA)
Import input/output samples from data files
Surrogate Modeling
SimCenterUQ Engine Surrogate Options:
Probabilistic Learning on Manifolds (PLoM) Surrogate modeling
Gaussian Process Surrogate Modeling