Uncertainty aggregation and reduction in structure-material performance prediction

DOI10.1007/S00466-017-1448-6zbMath1459.74186OpenAlexW2741301139WikidataQ113327374 ScholiaQ113327374MaRDI QIDQ1753925

Dan Ao, Zhen Hu, Sankaran Mahadevan

Publication date: 29 May 2018

Published in: Computational Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00466-017-1448-6

zbMATH Keywords

finite element methodmodel validationdamage modelBayesian calibrationlife predictioncomposite rotorcraft hub

Mathematics Subject Classification ID

Finite element methods applied to problems in solid mechanics (74S05) Fracture and damage (74R99) Reliability and life testing (62N05) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)

Related Items (3)

A collaborative model calibration framework under uncertainty considering parameter distribution ⋮ A sequential calibration and validation framework for model uncertainty quantification and reduction ⋮ Bounds optimization of model response moments: a twin-engine Bayesian active learning method

Cites Work

• Selection of model discrepancy priors in Bayesian calibration
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• The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
• Bayesian Methodology for Uncertainty Quantification in Complex Engineering Systems
• Fatigue life prediction using 2‐scale temporal asymptotic homogenization
• A multi-level computational model for multi-scale damage analysis in composite and porous materials

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