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Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
1 references·2 citing·15 second hop
Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating (2010)Identification of the parameters of compl…ANN inverse analysis based on stochastic small-sample training set simulation (2006)ANN inverse analysis based on…A Bayesian Framework to Identify Random Parameter Fields Based on the Copula Theorem and Gaussian Fields: Application to Polycrystalline Materials (2019)A Bayesian Framework to Ident…Selecting creep models using Bayesian methods (2012)Selecting creep models using …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A distribution-free approach to inducing rank correlation among input variables (1982)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Probabilistic risk assessment for the construction phases of a bridge construction based on finite element analysis (2008)FReET: Software for the statistical and reliability analysis of engineering problems and FReET-D: Degradation module (2013)Reliability-based design: Artificial neural networks and double-loop reliability-based optimization approaches (2017)Small sample sensitivity analysis techniques for computer models.with an application to risk assessment (1980)Uncertainty and sensitivity analysis of creep models for uncorrelated and correlated input parameters (2010)A computational framework for Bayesian inference in plasticity models characterisation (2017)Digital simulation of random processes and its applications (1972)An Introduction to Copulas (1999)A Framework for Validation of Computer Models (2007)Estimation of spatial uncertainty in material property distributions within heterogeneous structures using optimized convolutional neural networks (2022)Sampling-based adaptive design strategy for failure probability estimation (2023)The Effect of Prior Parameters in a Bayesian Approach to Inferring Material Properties from Experimental Measurements (2023)
this work references cited by second hop

References

  • 2006ANN inverse analysis based on stochastic small-sample training set simulation95 cited

Cited by

  • 2019A Bayesian Framework to Identify Random Parameter Fields Based on the Copula Theorem and Gaussian Fields: Application to Polycrystalline Materials20 cited
  • 2012Selecting creep models using Bayesian methods18 cited

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