Model updating based on mixed-integer nonlinear programming under model-form uncertainty in finite element model

In this paper, a new finite element model updating (FEMU) method is proposed based on mixed-integer nonlinear programming (MINLP) to deal with model-form uncertainty in FE models. Depending on modelers’ preference and experience, various FE models can be constructed for a specific structure in pract...

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Bibliographic Details
Published in:	Engineering with computers Vol. 37; no. 4; pp. 3699 - 3725
Main Authors:	Jin, Seung-Seop, Park, Young-Soo, Kim, SungTae, Park, Young-Hwan
Format:	Journal Article
Language:	English
Published:	London Springer London 01.10.2021 Springer Nature B.V
Subjects:	Algorithms CAE) and Design Calculus of Variations and Optimal Control; Optimization Classical Mechanics Computer Science Computer-Aided Engineering (CAD Continuity (mathematics) Control Design optimization Estimates Finite element method Integer programming Markov analysis Math. Applications in Chemistry Mathematical and Computational Engineering Mathematical models Mixed integer Model updating Nonlinear programming Optimization Optimization algorithms Original Article Parameter estimation Real variables Systems Theory Uncertainty Variables Mixed-integer nonlinear programming Genetic algorithm Finite element model updating Model-form uncertainty
ISSN:	0177-0667, 1435-5663
Online Access:	Get full text
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