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On the dynamic simulation of viscoelastic structures with random material properties using time‐separated stochastic mechanics

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  • TU Dortmund University

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Original languageEnglish
JournalPAMM
Volume22
Issue number1
Early online date24 Mar 2023
Publication statusPublished - 24 Mar 2023
Event91nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) - Kassel, Germany
Duration: 15 Mar 202119 Mar 2021
Conference number: 91
https://jahrestagung.gamm.org/jahr2020-2021/annual-meeting/

Abstract

Simulating stochastic structures with inelastic material behavior is often done with Monte Carlo simulations. The method is robust but needs a huge computational effort. We propose a new approach for the dynamic simulation of viscoelastic stochastic structures with a computational effort in the magnitude of one deterministic simulation. It is based on a separation of the viscous evolution equation in time‐dependent but deterministic and stochastic but time‐independent terms. We present the calculation of the effective quantities as stresses and reaction forces with the time‐separated stochastic mechanics. Numerical experiments showcase the high approximation quality compared to reference Monte Carlo simulations.

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On the dynamic simulation of viscoelastic structures with random material properties using time‐separated stochastic mechanics. / Geisler, Hendrik; Nagel, Jan; Junker, Philipp.
In: PAMM, Vol. 22, No. 1, 24.03.2023.

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abstract = "Simulating stochastic structures with inelastic material behavior is often done with Monte Carlo simulations. The method is robust but needs a huge computational effort. We propose a new approach for the dynamic simulation of viscoelastic stochastic structures with a computational effort in the magnitude of one deterministic simulation. It is based on a separation of the viscous evolution equation in time‐dependent but deterministic and stochastic but time‐independent terms. We present the calculation of the effective quantities as stresses and reaction forces with the time‐separated stochastic mechanics. Numerical experiments showcase the high approximation quality compared to reference Monte Carlo simulations.",
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Download

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T1 - On the dynamic simulation of viscoelastic structures with random material properties using time‐separated stochastic mechanics

AU - Geisler, Hendrik

AU - Nagel, Jan

AU - Junker, Philipp

N1 - Conference code: 91

PY - 2023/3/24

Y1 - 2023/3/24

N2 - Simulating stochastic structures with inelastic material behavior is often done with Monte Carlo simulations. The method is robust but needs a huge computational effort. We propose a new approach for the dynamic simulation of viscoelastic stochastic structures with a computational effort in the magnitude of one deterministic simulation. It is based on a separation of the viscous evolution equation in time‐dependent but deterministic and stochastic but time‐independent terms. We present the calculation of the effective quantities as stresses and reaction forces with the time‐separated stochastic mechanics. Numerical experiments showcase the high approximation quality compared to reference Monte Carlo simulations.

AB - Simulating stochastic structures with inelastic material behavior is often done with Monte Carlo simulations. The method is robust but needs a huge computational effort. We propose a new approach for the dynamic simulation of viscoelastic stochastic structures with a computational effort in the magnitude of one deterministic simulation. It is based on a separation of the viscous evolution equation in time‐dependent but deterministic and stochastic but time‐independent terms. We present the calculation of the effective quantities as stresses and reaction forces with the time‐separated stochastic mechanics. Numerical experiments showcase the high approximation quality compared to reference Monte Carlo simulations.

U2 - 10.1002/pamm.202200127

DO - 10.1002/pamm.202200127

M3 - Article

VL - 22

JO - PAMM

JF - PAMM

SN - 1617-7061

IS - 1

T2 - 91nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)

Y2 - 15 March 2021 through 19 March 2021

ER -

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