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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

Externe Organisationen

  • Technische Universität Dortmund

Details

OriginalspracheEnglisch
FachzeitschriftPAMM
Jahrgang22
Ausgabenummer1
Frühes Online-Datum24 März 2023
PublikationsstatusVeröffentlicht - 24 März 2023
Veranstaltung91nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) - Kassel, Deutschland
Dauer: 15 März 202119 März 2021
Konferenznummer: 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.

Zitieren

On the dynamic simulation of viscoelastic structures with random material properties using time‐separated stochastic mechanics. / Geisler, Hendrik; Nagel, Jan; Junker, Philipp.
in: PAMM, Jahrgang 22, Nr. 1, 24.03.2023.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

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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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TY - JOUR

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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