A collaborative model calibration framework under uncertainty considering parameter distribution
From MaRDI portal
Publication:2678557
DOI10.1016/j.cma.2022.115841OpenAlexW4312072091MaRDI QIDQ2678557
Chen Yue, Hao Liu, Shaojun Feng, Bin Wang, Bo Wang, Peng Hao
Publication date: 23 January 2023
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cma.2022.115841
Bayesian methodmodel calibrationuncertainty quantificationnested stochastic krigingoptimization-based calibration
Related Items
Uses Software
Cites Work
- Selection of model discrepancy priors in Bayesian calibration
- A better understanding of model updating strategies in validating engineering models
- A hierarchical framework for statistical model calibration in engineering product development
- A Bayesian analysis of the thermal challenge problem
- A top-down approach to calibration, validation, uncertainty quantification and predictive accuracy assessment
- A new perspective on the solution of uncertainty quantification and reliability analysis of large-scale problems
- Uncertainty aggregation and reduction in structure-material performance prediction
- A taxonomy of global optimization methods based on response surfaces
- Epistemic uncertainty-based model validation via interval propagation and parameter calibration
- On the value of test data for reducing uncertainty in material models: computational framework and application to spherical indentation
- An iterative Bayesian filtering framework for fast and automated calibration of DEM models
- A confidence-based reliability optimization with single loop strategy and second-order reliability method
- A sequential calibration and validation framework for model uncertainty quantification and reduction
- An efficient dominant failure modes search strategy and an extended sequential compounding method of system reliability analysis and optimization
- A novel nested stochastic Kriging model for response noise quantification and reliability analysis
- A unified method and its application to brake instability analysis involving different types of epistemic uncertainties
- A novel non-probabilistic reliability-based design optimization algorithm using enhanced chaos control method
- Bayesian Calibration of Computer Models
- Computer Model Calibration Using High-Dimensional Output
- A BAYES NETWORK APPROACH TO UNCERTAINTY QUANTIFICATION IN HIERARCHICALLY DEVELOPED COMPUTATIONAL MODELS
