• Medientyp: E-Artikel
  • Titel: SFEM for rubber‐like materials at large deformations
  • Beteiligte: Penner, Eduard; Caylak, Ismail; Nörenberg, Nicole; Mahnken, Rolf
  • Erschienen: Wiley, 2016
  • Erschienen in: PAMM
  • Umfang: 675-676
  • Sprache: Englisch
  • DOI: 10.1002/pamm.201610326
  • ISSN: 1617-7061
  • Schlagwörter: General Medicine
  • Zusammenfassung: <jats:title>Abstract</jats:title><jats:p>This paper investigates the uncertainty of hyper‐elastic model, by random material parameters as stochastic variables. For its stochastic discretization a polynomial chaos (PC) is used to expand the coefficients into deterministic and stochastic parts. Then, from experimental data in combination with artificial data for elastomers the distribution of the force‐displacement curves are obtained. In the numerical example the PC‐based Stochastic Finite Element Method (SFEM) and the deterministic parameter identification are used for generation of the distribution of Ogden's material parameters. (© 2016 Wiley‐VCH Verlag GmbH &amp; Co. KGaA, Weinheim)</jats:p>
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>This paper investigates the uncertainty of hyper‐elastic model, by random material parameters as stochastic variables. For its stochastic discretization a polynomial chaos (PC) is used to expand the coefficients into deterministic and stochastic parts. Then, from experimental data in combination with artificial data for elastomers the distribution of the force‐displacement curves are obtained. In the numerical example the PC‐based Stochastic Finite Element Method (SFEM) and the deterministic parameter identification are used for generation of the distribution of Ogden's material parameters. (© 2016 Wiley‐VCH Verlag GmbH &amp; Co. KGaA, Weinheim)</jats:p>
  • Anmerkungen:
  • Zugangsstatus: Freier Zugang