An adaptive recursive SBFE algorithm for the statistical analysis of stochastic viscoelastic problems

Integrating the advantages of Taylor series expansion and TPAA -SBFEM (temporally adaptive recursive algorithm-scaled boundary finite element method), two efficient algorithms are proposed to solve stochastic viscoelastic problems, in which the constitutive parameters are presented by random variabl...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering Jg. 395; S. 114878
Hauptverfasser:	Wang, Chongshuai, Long, Xiangyun, He, Yiqian, Yang, Haitian, Han, Xu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 15.05.2022 Elsevier BV
Schlagworte:	Accuracy Adaptive algorithms Algorithms Fields (mathematics) Finite element method K-L expansion Monte Carlo simulation Random fields Random variables SBFEM Series expansion Statistical analysis Statistical estimation Stochastic processes Stochastic viscoelastic problems Taylor series Temporally recursive adaptive computation Viscoelasticity K-L expansion Stochastic viscoelastic problems Statistical estimation Random fields Temporally recursive adaptive computation SBFEM
ISSN:	0045-7825
Online-Zugang:	Volltext
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