Model error propagation from experimental to prediction configuration

DOI10.1016/j.jcp.2021.110529OpenAlexW3176887103MaRDI QIDQ2132609

Sankaran Mahadevan, Abhinav Subramanian

Publication date: 28 April 2022

Published in: Journal of Computational Physics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcp.2021.110529

zbMATH Keywords

finite element discretizationartificial neural networksdiscrepancy predictionBayesian state estimationmodel form errors

Mathematics Subject Classification ID

Parametric inference (62Fxx) Probabilistic methods, stochastic differential equations (65Cxx) Stochastic systems and control (93Exx)

Related Items (1)

Non-intrusive estimation of model error and discrepancy in dynamics models

Uses Software

• EnKF

Cites Work

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• State estimation for jumping recurrent neural networks with discrete and distributed delays
• Selection of model discrepancy priors in Bayesian calibration
• Multivariate significance testing and model calibration under uncertainty
• Higher-order implicit strong numerical schemes for stochastic differential equations
• Error estimation in coupled multi-physics models
• Bayesian Calibration of Computer Models
• On the dynamic behaviour of the Timoshenko beam finite elements.

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