一种基于惩罚公式的多分辨率材料点方法

IF 3.6 2区 工程技术 Q2 ENGINEERING, GEOLOGICAL
Kai-Yuan He, Yin-Fu Jin, Xi-Wen Zhou, Zhen-Yu Yin, Xiangsheng Chen
{"title":"一种基于惩罚公式的多分辨率材料点方法","authors":"Kai-Yuan He,&nbsp;Yin-Fu Jin,&nbsp;Xi-Wen Zhou,&nbsp;Zhen-Yu Yin,&nbsp;Xiangsheng Chen","doi":"10.1002/nag.70048","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The computational cost of the material point method (MPM) primarily arises from the information transfer between material points and the grid. In some high-precision simulations, using a globally high-resolution background grid and sufficient material particles per cell (PPC) can severely reduce computational efficiency. Many problems in geomechanics focus on local large deformations or failures, making global refinement an unsuitable choice. To address these issues, this study introduces a novel multi-resolution material point method (MR-MPM). This approach constructs MPM models at different resolution levels using bounded material points that connect these levels. By enforcing positional deviations of bounded material points through the penalty function, the high-resolution and low-resolution models are linked together, achieving local refinement. During implementation, it is only necessary to map the penalty forces of bounded material points to the corresponding level background grids. No other modifications are required, and no local equations need to be solved. Furthermore, this study derives a penalty factor value that eliminates the influence of material elastic modulus and background grid spacing, effectively simplifying parameter adjustment. Finally, a series of classical numerical examples, including elastic and elasto-plastic cases, are used to verify the algorithm's accuracy, convergence, and efficiency. The results predicted by MR-MPM closely match finite element reference solutions and demonstrate good convergence. Compared to globally refined MPM, MR-MPM significantly improves computational efficiency. These features give MR-MPM great potential in large-scale simulation analyses involving large local deformation, such as tunnel excavation, submarine landslides, and similar events.</p>\n </div>","PeriodicalId":13786,"journal":{"name":"International Journal for Numerical and Analytical Methods in Geomechanics","volume":"49 16","pages":"3839-3857"},"PeriodicalIF":3.6000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multi-Resolution Material Point Method Based on Penalty Formulation\",\"authors\":\"Kai-Yuan He,&nbsp;Yin-Fu Jin,&nbsp;Xi-Wen Zhou,&nbsp;Zhen-Yu Yin,&nbsp;Xiangsheng Chen\",\"doi\":\"10.1002/nag.70048\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>The computational cost of the material point method (MPM) primarily arises from the information transfer between material points and the grid. In some high-precision simulations, using a globally high-resolution background grid and sufficient material particles per cell (PPC) can severely reduce computational efficiency. Many problems in geomechanics focus on local large deformations or failures, making global refinement an unsuitable choice. To address these issues, this study introduces a novel multi-resolution material point method (MR-MPM). This approach constructs MPM models at different resolution levels using bounded material points that connect these levels. By enforcing positional deviations of bounded material points through the penalty function, the high-resolution and low-resolution models are linked together, achieving local refinement. During implementation, it is only necessary to map the penalty forces of bounded material points to the corresponding level background grids. No other modifications are required, and no local equations need to be solved. Furthermore, this study derives a penalty factor value that eliminates the influence of material elastic modulus and background grid spacing, effectively simplifying parameter adjustment. Finally, a series of classical numerical examples, including elastic and elasto-plastic cases, are used to verify the algorithm's accuracy, convergence, and efficiency. The results predicted by MR-MPM closely match finite element reference solutions and demonstrate good convergence. Compared to globally refined MPM, MR-MPM significantly improves computational efficiency. These features give MR-MPM great potential in large-scale simulation analyses involving large local deformation, such as tunnel excavation, submarine landslides, and similar events.</p>\\n </div>\",\"PeriodicalId\":13786,\"journal\":{\"name\":\"International Journal for Numerical and Analytical Methods in Geomechanics\",\"volume\":\"49 16\",\"pages\":\"3839-3857\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Numerical and Analytical Methods in Geomechanics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/nag.70048\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, GEOLOGICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical and Analytical Methods in Geomechanics","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/nag.70048","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, GEOLOGICAL","Score":null,"Total":0}
引用次数: 0

摘要

材料点法(MPM)的计算成本主要来自于材料点与网格之间的信息传递。在一些高精度模拟中,使用全局高分辨率背景网格和足够的每单元材料粒子(PPC)会严重降低计算效率。地质力学中的许多问题都集中在局部大变形或破坏上,因此全局精化是不合适的选择。为了解决这些问题,本研究引入了一种新的多分辨率物质点法(MR - MPM)。该方法使用连接这些级别的有界材质点在不同分辨率级别上构建MPM模型。通过惩罚函数强制有界材料点的位置偏差,将高分辨率和低分辨率模型联系在一起,实现局部细化。在实现过程中,只需要将有界材质点的惩罚力映射到相应的关卡背景网格。不需要其他修改,也不需要解局部方程。此外,本文还推导了一个惩罚因子值,该值消除了材料弹性模量和背景网格间距的影响,有效地简化了参数调整。最后,通过一系列经典的数值算例,包括弹性和弹塑性情况,验证了该算法的准确性、收敛性和效率。MR - MPM预测的结果与有限元参考解非常接近,并具有良好的收敛性。与全局细化的MPM相比,MR - MPM显著提高了计算效率。这些特征使得MR - MPM在涉及大型局部变形(如隧道开挖、海底滑坡和类似事件)的大规模模拟分析中具有很大的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Multi-Resolution Material Point Method Based on Penalty Formulation

A Multi-Resolution Material Point Method Based on Penalty Formulation

The computational cost of the material point method (MPM) primarily arises from the information transfer between material points and the grid. In some high-precision simulations, using a globally high-resolution background grid and sufficient material particles per cell (PPC) can severely reduce computational efficiency. Many problems in geomechanics focus on local large deformations or failures, making global refinement an unsuitable choice. To address these issues, this study introduces a novel multi-resolution material point method (MR-MPM). This approach constructs MPM models at different resolution levels using bounded material points that connect these levels. By enforcing positional deviations of bounded material points through the penalty function, the high-resolution and low-resolution models are linked together, achieving local refinement. During implementation, it is only necessary to map the penalty forces of bounded material points to the corresponding level background grids. No other modifications are required, and no local equations need to be solved. Furthermore, this study derives a penalty factor value that eliminates the influence of material elastic modulus and background grid spacing, effectively simplifying parameter adjustment. Finally, a series of classical numerical examples, including elastic and elasto-plastic cases, are used to verify the algorithm's accuracy, convergence, and efficiency. The results predicted by MR-MPM closely match finite element reference solutions and demonstrate good convergence. Compared to globally refined MPM, MR-MPM significantly improves computational efficiency. These features give MR-MPM great potential in large-scale simulation analyses involving large local deformation, such as tunnel excavation, submarine landslides, and similar events.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.40
自引率
12.50%
发文量
160
审稿时长
9 months
期刊介绍: The journal welcomes manuscripts that substantially contribute to the understanding of the complex mechanical behaviour of geomaterials (soils, rocks, concrete, ice, snow, and powders), through innovative experimental techniques, and/or through the development of novel numerical or hybrid experimental/numerical modelling concepts in geomechanics. Topics of interest include instabilities and localization, interface and surface phenomena, fracture and failure, multi-physics and other time-dependent phenomena, micromechanics and multi-scale methods, and inverse analysis and stochastic methods. Papers related to energy and environmental issues are particularly welcome. The illustration of the proposed methods and techniques to engineering problems is encouraged. However, manuscripts dealing with applications of existing methods, or proposing incremental improvements to existing methods – in particular marginal extensions of existing analytical solutions or numerical methods – will not be considered for review.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信