Version 3.0.0 of WE-UQ app was released July 2023. The following lists the functionality available in this current version. (Note: New features and fixes in this release are marked 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
MDOF-LU: auto-generated multi-degree-of-freedom model
OpenSees: user-defined OpenSees models
CustomPy: user-defined OpenSees models
5.2. Wind Loading Event¶
Applications used to specify/select wind loading for the structure.
Stochastic Wind: simulating stochastic wind speed using spectral method
CFD-Digital Wind Tunnel: CFD simulation of boundary layer wind tunnel
CFD-Wind Load on Isolated Buildings: CFD-based wind load simulation for isolated buildings
DEDM_HRP: database-enabled design framework based on wind-tunnel data for high-rise buildings
LowRiseTPU: extracting aerodynamics loads based on TPU database for low-rise buildings
Wind Tunnel Experiment: uses pressure tap measurements from building in wind tunnel experiment
Existing: User-supplied time-varying floor loads
5.3. Engineering Demand Parameter Generator¶
Applications to identify the output parameters of interest given the wind loading and the structural model.
Standard Wind: (serviceability) inter-story drift ratio, peak floor acceleration
User Defined: user-specified EDP
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: Any user-supplied Python application can be incorporated
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
Monte Carlo Sampling (MCS)
Latin Hypercube Sampling (LHS)
Gaussian Process Regression
Polynomial Chaos Expansion
Monte Carlo Sampling (MCS) a. Resample from an existing correlated dataset of samples
Global Sensitivity Analysis
Dakota Sensitivity Options
Probability Model-based Global Sensitivity Analysis (PM-GSA)
Import input/output samples from data files
SimCenterUQ Engine Surrogate Options:
Surrogate modeling using Probabilistic Learning on Manifolds (PLoM)