The Quantified Uncertainty with Optimization for the Finite Element Method (quoFEM) application (formerly uqFEM) is intended to advance the use of uncertainty quantification and optimization within the field natural hazards engineering. The application achieves this by combining existing finite element applications, e.g. FEAPpv, with uncertainty quantification (UQ) applications, e.g. Dakota, behind a simple user interface (UI). The combined application will enhance the finite element applications with uncertainty quantification and optimization capabilities. To overcome the issue of computational overhead, which typically precludes these types of probabilistic analysis from being performed, the user has the option of specifying that the simulations take place on HPC resources, e.g. the TACC Stampede supercomputer made available through DesignSafe-ci.

The specific types of analyses that the quoFEM application provides are:

  • Uncertainty Quantification
  • Calibration and Bayesian Calibration
  • Optimization
  • Sensitivity

Tool Training Workshop: May 24-25, 2021

quoFEM Day 1

quoFEM Day 2

Tool Training Workshop: June 15-16, 2020

quoFEM: Day 1

quoFEM: Day 2



Join the User Forum Conversation:

  • submit questions and get answers
  • provide user feedback
  • post feature requests
  • submit bug reports

Recent Updates:

  • New forward propagation method in SimCenterUQ to import existing sample sets (eg. samples obtained by MCMC)
  • New multi-fidelity surrogate modeling option in SimCenterUQ
  • Local/remote parallel computing support for SimCenterUQ methods
  • Visualization improvements for surrogate results


How to cite:

Frank McKenna, Adam Zsarnoczay, Michael Gardner, Wael Elhaddad, Sang-ri Yi, & Aakash Bangalore Satish. (2021). NHERI-SimCenter/quoFEM: Version 2.4.0 (v2.4.0). Zenodo. https://doi.org/10.5281/zenodo.5558000

Deierlein, G.G., McKenna, F., et al. (2020). A Cloud-Enabled Application Framework for Simulating Regional-Scale Impacts of Natural Hazards on the Built Environment. Frontiers in Built Environment. 6, 196. doi: 10.3389/fbuil.2020.558706.