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Published October 1, 2022 | Version v3.2.0
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NHERI-SimCenter/quoFEM: Version 3.2.0

  • 1. Stanford University
  • 2. University of Nevada, Reno
  • 3. University of California, Berkeley


Major Changes:

  • Support for a gradient-free optimization method
  • Support for stochastic Kriging
  • Fast global sensitivity analysis for very high dimensional output (tested on 2 million QoIs)
  • New option to discard working directories after each model simulation
  • Significantly enhanced speed of surrogate validation and prediction
  • "None" option for FEM
  • Improved user interface including error bounds of the surrogate prediction
  • Major renaming: (1) OpenseesPy->python (FEM), (2) Parameters estimation -> deterministic calibration (UQ/Dakota), (3) Inverse problem -> Bayesian calibration (UQ/Dakota)


This work is based on material supported by the National Science Foundation under grants CMMI 1612843 and CMMI 2131111



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