{"title":"Nitsche-based material point method for large deformation frictional contact problems","authors":"Kun Zhang, Shui-Long Shen, Hui Wu, Annan Zhou","doi":"10.1007/s40571-024-00846-4","DOIUrl":null,"url":null,"abstract":"<div><p>Large deformation problems in practical engineering are often accompanied by contact phenomena. While the conventional material point method (MPM) is efficient at solving large deformation problems, it cannot handle slip contacts. This paper presents Nitsche’s method for analysing large deformations with frictional contact via the MPM. Nitsche’s method has good features of variational consistency and no additional unknowns, and it is integrated into the MPM in a weak manner based on the principle of virtual power. Within the integrated formulation, both biased and unbiased computational schemes are derived to adapt to different forms of contact. Additionally, B-spline shape functions are employed to alleviate cell-crossing noise, and an improved particle extrapolation approach for accurate contact detection is introduced. The efficacy of the proposed Nitsche-based MPM is validated through several representative benchmarks from the literature. We further apply the proposed method to simulate the water leakage problem of the lining gasketed joint in shield tunnels. Comparison with experimental results demonstrates the applicability of the proposed method.</p></div>","PeriodicalId":524,"journal":{"name":"Computational Particle Mechanics","volume":"12 2","pages":"947 - 970"},"PeriodicalIF":2.8000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Particle Mechanics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s40571-024-00846-4","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Large deformation problems in practical engineering are often accompanied by contact phenomena. While the conventional material point method (MPM) is efficient at solving large deformation problems, it cannot handle slip contacts. This paper presents Nitsche’s method for analysing large deformations with frictional contact via the MPM. Nitsche’s method has good features of variational consistency and no additional unknowns, and it is integrated into the MPM in a weak manner based on the principle of virtual power. Within the integrated formulation, both biased and unbiased computational schemes are derived to adapt to different forms of contact. Additionally, B-spline shape functions are employed to alleviate cell-crossing noise, and an improved particle extrapolation approach for accurate contact detection is introduced. The efficacy of the proposed Nitsche-based MPM is validated through several representative benchmarks from the literature. We further apply the proposed method to simulate the water leakage problem of the lining gasketed joint in shield tunnels. Comparison with experimental results demonstrates the applicability of the proposed method.
期刊介绍:
GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research.
SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including:
(a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc.,
(b) Particles representing material phases in continua at the meso-, micro-and nano-scale and
(c) Particles as a discretization unit in continua and discontinua in numerical methods such as
Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.