{"title":"Weighted eigenseparation-based residual approach for model reduction of interface failure in heterogeneous materials","authors":"Jacob Fish, Junhe Cui","doi":"10.1016/j.cma.2025.118352","DOIUrl":null,"url":null,"abstract":"<div><div>Interface failure plays a critical role in the degradation of heterogeneous materials, often governing structural integrity across a range of applications from fiber-reinforced composites to polycrystalline rocks. This paper introduces a novel model reduction framework—the Weighted Eigenseparation-based Residual (WER) approach—for efficiently simulating interface failure using cohesive zone models. Two variants of the WER are developed: a <em>force-based</em> formulation that weakly enforces equilibrium equations at the interface at the modal level and a <em>separation-based</em> formulation that weakly enforces contact conditions at the modal level. These formulations are supported by precomputed influence functions within representative volume elements (RVEs), significantly reducing computational cost while preserving accuracy. The separation-based variant, in particular, demonstrates broad applicability across microstructures with interface junctions. Numerical examples in two and three dimensions—including fiber composites and geological microstructures—demonstrate the effectiveness, convergence behavior, and computational advantages of the WER over direct numerical simulations. The results show that high-fidelity predictions can be obtained even with coarsely discretized interface modes, confirming the robustness and versatility of the WER methodology.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"448 ","pages":"Article 118352"},"PeriodicalIF":7.3000,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Applied Mechanics and Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045782525006243","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Interface failure plays a critical role in the degradation of heterogeneous materials, often governing structural integrity across a range of applications from fiber-reinforced composites to polycrystalline rocks. This paper introduces a novel model reduction framework—the Weighted Eigenseparation-based Residual (WER) approach—for efficiently simulating interface failure using cohesive zone models. Two variants of the WER are developed: a force-based formulation that weakly enforces equilibrium equations at the interface at the modal level and a separation-based formulation that weakly enforces contact conditions at the modal level. These formulations are supported by precomputed influence functions within representative volume elements (RVEs), significantly reducing computational cost while preserving accuracy. The separation-based variant, in particular, demonstrates broad applicability across microstructures with interface junctions. Numerical examples in two and three dimensions—including fiber composites and geological microstructures—demonstrate the effectiveness, convergence behavior, and computational advantages of the WER over direct numerical simulations. The results show that high-fidelity predictions can be obtained even with coarsely discretized interface modes, confirming the robustness and versatility of the WER methodology.
期刊介绍:
Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.