A python tool for parmeter identification in finite element analysis using the optimization algorithms in SciPy.
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Updated
May 22, 2024 - Python
A python tool for parmeter identification in finite element analysis using the optimization algorithms in SciPy.
A package for the optimisation of numerical responses
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).
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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…
Some basics, settings and files for the straightforward use of LS-Opt for parameter identifications
some information may used
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