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March 10, 2026Numerical Methods for Partial Differential Equations0 citations

Mixed Finite Element Methods for the Nonlinear Stochastic Elastodynamics Equations With Multiplicative Noise

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QZQiankun ZhangWZWenju Zhao

Key Points

  • The aim is to develop a numerical framework to solve nonlinear stochastic elastodynamics equations effectively.
  • Utilized Arnold–Winther mixed finite element method for spatial discretization.
  • Employed Euler–Maruyama scheme for temporal discretization.
  • Established stability results and derived error estimates for the numerical method.
  • Conducted numerical experiments to validate theoretical predictions.
  • Demonstrated stability and accuracy in approximating displacement and stress fields.
  • Validated theoretical findings through numerical experiments.
  • Showed effectiveness and robustness of the proposed numerical framework.

Abstract

ABSTRACT This paper presents a numerical framework for solving nonlinear stochastic elastodynamics equations with a particular emphasis on the coupled displacement–stress formulation. Spatial discretization is achieved using the Arnold–Winther mixed finite element method, which enables a stable and accurate approximation of both displacement and stress fields. For temporal discretization, we employ the Euler–Maruyama scheme, from which a fully discrete numerical approximation for the stochastic system is then yielded. Within this setting, we establish rigorous stability results and derive error estimates. Numerical experiments are provided to validate the theoretical findings for both displacement and stress and demonstrate the effectiveness and robustness of the proposed scheme.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69af959570916d39fea4d44chttps://doi.org/10.1002/num.70083
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