.. _lbl-capabilities_weuq: .. role:: blue ************ Capabilities ************ **Version 3.2.0** of |app| was released **March 2024**. The following lists the functionality available in this current version. (Note: New features and fixes in this release are marked :blue:`blue` in the following list of features.) Structural Information Model ============================ Applications are 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 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 with complex geometry #. 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 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 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 Uncertainty Quantification ========================== Applications to perform the uncertainty quantification for the response parameters given the inputs and the random variables present. #. Forward Uncertainty Propagation A. Dakota Options #. Monte Carlo Sampling (MCS) #. Latin Hypercube Sampling (LHS) #. Gaussian Process Regression #. Polynomial Chaos Expansion B. SimCenterUQ Options #. Monte Carlo Sampling (MCS) a. Resample from an existing correlated dataset of samples #. Global Sensitivity Analysis A. Dakota Sensitivity Options #. MCS #. LHS B. SimCenterUQ Options #. Probability Model-based Global Sensitivity Analysis (PM-GSA) a. Import input/output samples from data files #. Surrogate Modeling A. SimCenterUQ Engine Surrogate Options: #. Surrogate modeling using Probabilistic Learning on Manifolds (PLoM) Additional Tools =============== #. :blue:`Empty Domain CFD Simulation`: Capability to perform empty domain simulation to characterize Atmospheric Boundary Layer (ABL) flows using large-eddy simulation (LES). This added feature uses the Turbulence Inflow Tool (TInF) tool for calibrating ABL flows for a subsequent wind load evaluation study.