quoFEM Application Summary (V4.2).
To help expand the workflow capabilities with your contributions, contact NHERI-SimCenter@berkeley.edu.
Explore, Calibrate, and Propagate Uncertainties through Finite Element Models using quoFEM, Aakash Bangalore Satish, Postdoctoral Scholar, UC Berkeley, January 6, 2023
Global Sensitivity Analysis on a Structural System, Sang-ri Yi, Postdoctoral Researcher, UC Berkeley November 12, 2021
Global Sensitivity Analysis for High Dimensional Outputs using quoFEM, Sang-ri Yi, Postdoctoral Researcher, UC Berkeley, December 2, 2022
Bayesian model class selection using quoFEM, Dr. Aakash Bangalore Satish, Postdoctoral Scholar, UC Berkeley, January 12, 2024
Explore, Calibrate, and Propagate Uncertainties through Finite Element Models using quoFEM, Aakash Bangalore Satish, Postdoctoral Scholar, UC Berkeley, January 6, 2023
Calibrating an OpenSees Material Model using Experimental Data in quoFEM, Aakash Bangalore Satish, Postdoctoral Scholar, UC Berkeley, December 10, 2021
Bayesian Calibration of a Reduced Order Model for Structural Response Approximation, Dr. Aakash Bangalore Satish, April 29, 2022
Seismic Response Estimation using Surrogate Models in quoFEM, Mia Lochhead, Stanford University, November 15, 2024
Surrogate Modeling of Surface Wind Pressure Statistics, Sang-ri Yi, UC Berkeley, April 26, 2024
Replacing a Computationally Expensive Simulation with a Gaussian Process Surrogate Model in quoFEM, Sang-ri Yi, UC Berkeley, April 1, 2022
Tool Training Workshop: February 22-23, 2022
quoFEM Day 1: Introduction to the SimCenter and the quoFEM application: capabilities including Latin Hypercube Sampling, Monte Carlo Sampling, and Sensitivity Analysis. Plus, an introduction to the Custom UQ Engine - a new feature that invites advanced users to integrate and use their tools within the SimCenter's Application Framework and the benefits of Gaussian process-based surrogate modeling
quoFEM Day 2: Introduction to the custom FEM engine with demonstrations of two structural engineering examples. The first will drive ETABS to calibrate a moment frame structure using modal characteristics. The second example calibrates an MDOF model run through Matlab.
Tool Training Workshop: May 24-25, 2021
quoFEM Day 1: New features in quoFEM: Global Sensitivity Analysis and Bayesian Calibration
quoFEM Day 2: A presentation of quoFEM's advanced features and backend workflow
Tool Training Workshop: June 15-16, 2020
quoFEM Day 1: An Introduction to the the SimCenter, examples of research applications the SimCenter has developed, educational software and an overview of quoFEM
quoFEM Day 2: A demonstration of how quoFEM works with Python scripts, OpenSeesPy or other custom scripts. Calibration examples: conventional and Bayesian
Desktop App
Downloadable app that performs simulations locally or on DesignSafe computing resource
Web Portal
Web portal app that performs simulations on DesignSafe computing resources.
How to cite:
Frank McKenna, Sang-ri Yi, Aakash Bangalore Satish, Adam Zsarnoczay, Michael Gardner, & Wael Elhaddad. (2025). NHERI-SimCenter/quoFEM: Version 4.2.0 (v4.2.0). Zenodo. https://doi.org/10.5281/zenodo.17155889
Zsarnóczay, A., et al., (2025) An open-source simulation platform to support and foster research collaboration in natural hazards engineering. Front. Built Environ. 11:1590479. doi: 10.3389/fbuil.2025.1590479
