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A computational multiscale model for anisotropic failure of sheet molding compound composites

Görthofer, Johannes; Schneider, Matti; Hrymak, A.; Böhlke, Thomas ORCID iD icon

Abstract:

We present a holistic multiscale approach for constructing anisotropic criteria describing the macroscopic failure of sheet molding compound composites based on full-field simulations of microscale damage evolution. We use an anisotropic damage model on the microscale that directly operates on the compliance tensor, captures matrix and bundle damage via dedicated stress-based damage criteria and allows for a comparison of simulation and experimental results. To identify the damage material-parameters used in the non-linear and time-consuming full-field simulations, we utilize Bayesian optimization with Gaussian processes. We validate the full-field predictions on the microscale and subsequently identify macroscopic failure criteria based on distributions taken from experimental findings. We propose failure surfaces in stress space and stiffness-reduction triggered failure surfaces to cover both a structural analysis and a design process perspective.


Verlagsausgabe §
DOI: 10.5445/IR/1000142919
Veröffentlicht am 15.04.2022
Originalveröffentlichung
DOI: 10.1016/j.compstruct.2022.115322
Scopus
Zitationen: 3
Web of Science
Zitationen: 3
Dimensions
Zitationen: 3
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Mechanik (ITM)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 15.05.2022
Sprache Englisch
Identifikator ISSN: 0263-8223, 1879-1085
KITopen-ID: 1000142919
Erschienen in Composite structures
Verlag Elsevier
Band 288
Seiten Art.Nr. 115322
Vorab online veröffentlicht am 18.02.2022
Schlagwörter Continuum damage mechanics, Failure, Anisotropy, Multiscale, Bayesian optimization, Sheet molding compound composite
Nachgewiesen in Web of Science
Scopus
Dimensions
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