Stochastic Material Modeling for Fatigue Damage Analysis

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

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External Research Organisations

  • École normale supérieure Paris-Saclay (ENS Paris-Saclay)
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Details

Original languageEnglish
Title of host publicationLecture Notes in Applied and Computational Mechanics
Place of PublicationCham
Pages329-347
Number of pages19
ISBN (electronic)978-3-030-38156-1
Publication statusPublished - 4 Mar 2020

Publication series

NameLecture Notes in Applied and Computational Mechanics
Volume93
ISSN (Print)1613-7736
ISSN (electronic)1860-0816

Abstract

Experimental observation of the evolution of a structure under fatigue loading has shown in the literature largely scattered results. To represent these uncertainties, a stochastic damage model based on random process is proposed. The kinetic continuum damage model is compared with some experimental data and other modelling approaches. The original approach is investigated for a two-dimensional structures computed using finite element method. Using this modeling approach, probabilistic fatigue damage information can be provided for any time instant at any point of the structure.

ASJC Scopus subject areas

Cite this

Stochastic Material Modeling for Fatigue Damage Analysis. / Zhang, W.; Fau, A.; Nackenhorst, U. et al.
Lecture Notes in Applied and Computational Mechanics. Cham, 2020. p. 329-347 (Lecture Notes in Applied and Computational Mechanics; Vol. 93).

Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

Zhang, W, Fau, A, Nackenhorst, U & Desmorat, R 2020, Stochastic Material Modeling for Fatigue Damage Analysis. in Lecture Notes in Applied and Computational Mechanics. Lecture Notes in Applied and Computational Mechanics, vol. 93, Cham, pp. 329-347. https://doi.org/10.1007/978-3-030-38156-1_17
Zhang, W., Fau, A., Nackenhorst, U., & Desmorat, R. (2020). Stochastic Material Modeling for Fatigue Damage Analysis. In Lecture Notes in Applied and Computational Mechanics (pp. 329-347). (Lecture Notes in Applied and Computational Mechanics; Vol. 93).. https://doi.org/10.1007/978-3-030-38156-1_17
Zhang W, Fau A, Nackenhorst U, Desmorat R. Stochastic Material Modeling for Fatigue Damage Analysis. In Lecture Notes in Applied and Computational Mechanics. Cham. 2020. p. 329-347. (Lecture Notes in Applied and Computational Mechanics). doi: 10.1007/978-3-030-38156-1_17
Zhang, W. ; Fau, A. ; Nackenhorst, U. et al. / Stochastic Material Modeling for Fatigue Damage Analysis. Lecture Notes in Applied and Computational Mechanics. Cham, 2020. pp. 329-347 (Lecture Notes in Applied and Computational Mechanics).
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