Quang Hieu Bui, Vinh Phu Nguyen, Alban de Vaucorbeil
{"title":"A New Contact Algorithm for the Total-Lagrangian Material Point Method","authors":"Quang Hieu Bui, Vinh Phu Nguyen, Alban de Vaucorbeil","doi":"10.1002/nme.70105","DOIUrl":null,"url":null,"abstract":"<p>The Total Lagrangian Material Point Method (TLMPM) is a relatively new variant of the now popular MPM, a method to solve partial differential equations appearing in solid and fluid mechanics problems. In TLMPM, each solid has its own grid, and all calculations are carried out in a configuration of reference, often the original configuration. Because of this, TLMPM is free of numerical fracture, cell crossing instability and is efficient. An unfortunate result of having individual grids is that TLMPM does not have a built-in contact algorithm. Recently, a contact algorithm based on particle-to-particle contact was published for TLMPM. However, it scales quadratically with the number of particles and is therefore slow for a large number of particles. This paper introduces a new contact algorithm for TLMPM using a flexible contact grid. The advantages of this algorithm are: (1) all the advantages of TLMPM are kept, such as the absence of numerical fracture and good convergence rates; (2) the core principle of using a background grid in the material point method for contacts is preserved; (3) different basis functions can be used for each grid, and (4) boundary conditions can be enforced with more flexibility. The performance of the new algorithm is demonstrated through several two and three-dimensional numerical examples exhibiting large elastic and plastic deformation.</p>","PeriodicalId":13699,"journal":{"name":"International Journal for Numerical Methods in Engineering","volume":"126 17","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/nme.70105","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical Methods in Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nme.70105","RegionNum":3,"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
The Total Lagrangian Material Point Method (TLMPM) is a relatively new variant of the now popular MPM, a method to solve partial differential equations appearing in solid and fluid mechanics problems. In TLMPM, each solid has its own grid, and all calculations are carried out in a configuration of reference, often the original configuration. Because of this, TLMPM is free of numerical fracture, cell crossing instability and is efficient. An unfortunate result of having individual grids is that TLMPM does not have a built-in contact algorithm. Recently, a contact algorithm based on particle-to-particle contact was published for TLMPM. However, it scales quadratically with the number of particles and is therefore slow for a large number of particles. This paper introduces a new contact algorithm for TLMPM using a flexible contact grid. The advantages of this algorithm are: (1) all the advantages of TLMPM are kept, such as the absence of numerical fracture and good convergence rates; (2) the core principle of using a background grid in the material point method for contacts is preserved; (3) different basis functions can be used for each grid, and (4) boundary conditions can be enforced with more flexibility. The performance of the new algorithm is demonstrated through several two and three-dimensional numerical examples exhibiting large elastic and plastic deformation.
期刊介绍:
The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems.
The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.