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TESTING March 17, 2026

An immersed peridynamics method for fluid-driven damage and failure of anisotropic materials

Authors

Keon Ho Kim, Boyce E. Griffith

Abstract

The immersed peridynamics (IPD) method is a fluid-structure interaction (FSI) model to simulate fluid-driven material damage and failure of an immersed structure, in which a peridynamic (PD) constitutive correspondence model is employed within a classical immersed boundary (IB)-type framework to describe stresses, forces, and structural deformations of a structural body, instead of classical continuum mechanics. This paper introduces an extension of the IPD method to simulate fluid-driven structural deformation, damage, and failure of anisotropic materials with complex geometries. We use quadrature rules attached to finite element (FE) meshes to generate both the PD points and their associated weights, which are used to approximate the PD integrals. We demonstrate that non-uniform discretizations improve both accuracy and volume conservation of hyperelastic materials along with accurately represented boundaries. To capture realistic biomaterial behaviors, we incorporate hyperelastic constitutive models including both isotropy and anisotropy into the proposed IPD method. In addition, a ductile failure model is adopted to simulate realistic failure processes of anisotropic materials. For non-failure cases, our numerical simulations demonstrate that the extended IPD method yields comparable accuracy with similar numbers of structural degrees of freedom for different choices of peridynamic horizon sizes. For failure tests, we investigate the effect of a fiber orientation on deformations and failure processes using realistic biomaterial models with varying fiber directions. We further demonstrate that the developed method generates grid-converged simulations of damage growth, crack formation and propagation, and rupture under large deformations, including purely fluid-driven failure processes.

Metadata

arXiv ID: 2603.16046
Provider: ARXIV
Primary Category: math.NA
Published: 2026-03-17
Fetched: 2026-03-18 06:02

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