Yujia Zhang , Xue Zhang , Liang Wang , Jingjing Meng , Bin Wang
{"title":"岩土大变形分析的颗粒-细胞混合(PCH)新方法","authors":"Yujia Zhang , Xue Zhang , Liang Wang , Jingjing Meng , Bin Wang","doi":"10.1016/j.compgeo.2025.107281","DOIUrl":null,"url":null,"abstract":"<div><div>The Particle Finite Element Method (PFEM) and its variants, such as the Smoothed PFEM (SPFEM), have gained popularity for analysing geotechnical problems. However, the challenge of mass conservation often compromises the accuracy of numerical results across various applications. In this study, we introduce a novel strategy to address this issue by integrating the concept of material points into SPFEM, thereby establishing a Particle-Cell Hybrid (PCH) method. This approach retains the advantages of SPFEM while ensuring mass conservation. The core idea involves incorporating mass information for each particle during computations. Despite its simplicity, this treatment has proven to be robust and effective through a series of benchmarking tests. Additionally, numerical experiments demonstrate that the PCH method considerably reduces sensitivity to unphysical factors in the boundary identification technique employed within the PFEM framework. The proposed framework represents a significant advancement in the development of PFEM, and can be easily incorporated into other PFEM codes and software to improve their numerical accuracy.</div></div>","PeriodicalId":55217,"journal":{"name":"Computers and Geotechnics","volume":"184 ","pages":"Article 107281"},"PeriodicalIF":5.3000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel particle-cell hybrid (PCH) method for geotechnical large deformation analysis\",\"authors\":\"Yujia Zhang , Xue Zhang , Liang Wang , Jingjing Meng , Bin Wang\",\"doi\":\"10.1016/j.compgeo.2025.107281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The Particle Finite Element Method (PFEM) and its variants, such as the Smoothed PFEM (SPFEM), have gained popularity for analysing geotechnical problems. However, the challenge of mass conservation often compromises the accuracy of numerical results across various applications. In this study, we introduce a novel strategy to address this issue by integrating the concept of material points into SPFEM, thereby establishing a Particle-Cell Hybrid (PCH) method. This approach retains the advantages of SPFEM while ensuring mass conservation. The core idea involves incorporating mass information for each particle during computations. Despite its simplicity, this treatment has proven to be robust and effective through a series of benchmarking tests. Additionally, numerical experiments demonstrate that the PCH method considerably reduces sensitivity to unphysical factors in the boundary identification technique employed within the PFEM framework. The proposed framework represents a significant advancement in the development of PFEM, and can be easily incorporated into other PFEM codes and software to improve their numerical accuracy.</div></div>\",\"PeriodicalId\":55217,\"journal\":{\"name\":\"Computers and Geotechnics\",\"volume\":\"184 \",\"pages\":\"Article 107281\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers and Geotechnics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0266352X25002307\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers and Geotechnics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0266352X25002307","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A novel particle-cell hybrid (PCH) method for geotechnical large deformation analysis
The Particle Finite Element Method (PFEM) and its variants, such as the Smoothed PFEM (SPFEM), have gained popularity for analysing geotechnical problems. However, the challenge of mass conservation often compromises the accuracy of numerical results across various applications. In this study, we introduce a novel strategy to address this issue by integrating the concept of material points into SPFEM, thereby establishing a Particle-Cell Hybrid (PCH) method. This approach retains the advantages of SPFEM while ensuring mass conservation. The core idea involves incorporating mass information for each particle during computations. Despite its simplicity, this treatment has proven to be robust and effective through a series of benchmarking tests. Additionally, numerical experiments demonstrate that the PCH method considerably reduces sensitivity to unphysical factors in the boundary identification technique employed within the PFEM framework. The proposed framework represents a significant advancement in the development of PFEM, and can be easily incorporated into other PFEM codes and software to improve their numerical accuracy.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.