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parameter-identification

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ADAPT is designed for the inverse parameter identification of constitutive material models using mathmatical optimisation. It is designed to work with finite element simulations but its modular implementation offers an interface to basically any simulation framework. The tool is able to use global data such as forces as well as local data such a…

  • Updated Aug 13, 2021
  • Python

A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials, developed by various projects of the University of Twente (NL), the Netherlands eScience Center (NL), University of Newcastle (AU), and Hiroshima University (JP).

  • Updated Oct 21, 2024
  • Jupyter Notebook

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