Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements

DOI10.1007/s10182-010-0149-7zbMath1477.62387OpenAlexW2039093026MaRDI QIDQ2006885

Nicolas Saba, Tobias Wagner, Anton Matzenmiller, Dirk Biermann, Christoph Bröcker, Kurt Steinhoff

Publication date: 12 October 2020

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-010-0149-7

zbMATH Keywords

predictionsample selectioncomputer experimentsfunctional data analysisfinite element analysis (FEA)functionally graded material (FGM)Gaussian process (GP)multiple fidelity

Mathematics Subject Classification ID

Functional data analysis (62R10) Design of statistical experiments (62K99) Bayesian inference (62F15) Applications of statistics to physics (62P35) Finite element, Galerkin and related methods applied to problems in thermodynamics and heat transfer (80M10)

Related Items (3)

Design and analysis of computer experiments ⋮ Computer experiments: a review ⋮ Using recursive algorithms for the efficient identification of smoothing spline ANOVA models

Uses Software

• DACE
• EGO

Cites Work

• Formulation of the thermal problem
• A Bayesian calibration approach to the thermal problem
• A Bayesian analysis of the thermal challenge problem
• Efficient global optimization of expensive black-box functions
• The design and analysis of computer experiments.
• Design and analysis of computer experiments. With comments and a rejoinder by the authors
• Computer experiments: a review
• Latin hypercube sampling with inequality constraints
• Comparing and generating Latin hypercube designs in kriging models
• Computer model validation with functional output
• An efficient algorithm for constructing optimal design of computer experiments
• Global optimization of stochastic black-box systems via sequential kriging meta-models
• Bayesian Calibration of Computer Models
• Computer Model Calibration Using High-Dimensional Output
• Combining Field Data and Computer Simulations for Calibration and Prediction
• Probabilistic Formulations for Transferring Inferences from Mathematical Models to Physical Systems
• Predicting the output from a complex computer code when fast approximations are available
• Combining experimental data and computer simulations, with an application to flyer plate experiments

This page was built for publication: Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements