工程科学与技术2025，Vol.57Issue(4)：1-11,11.DOI:10.12454/j.jsuese.202300725
一种改进GPU加速策略的物质点分析方法及其在滑坡模拟中的应用
An Improved GPU-accelerated MPM and Application in Landslide Modelling
摘要
Abstract
In recent years,the material point method(MPM)has become an important large-deformation numerical simulation method in geotech-nical engineering and is widely utilized to study issues such as landslides,foundations,dam failures,and water-soil gushing in shield tunnels.As the scale and complexity of application scenarios increase,the accuracy requirements and efficiency needs for numerical methods also rise,result-ing in higher computational costs that restrict the further application of MPM in large-scale geotechnical engineering problems.The simulation ef-ficiency of MPM improves significantly by introducing parallel acceleration technology;however,specific issues,such as program architecture and extensibility,still limit their development in engineering applications.This study proposes an improved GPU acceleration strategy for MPM by incorporating modular programming concepts,efficient data structures,and data competition handling methods to establish a high-performance and easily extendable program architecture.The software's performance is evaluated by simulating aluminum rod collapse experi-ments and the slope failure process.The results indicated that the software achieves effective parallelization and demonstrates approximately a 10％improvement over the existing Taichi-GPU MPM.Finally,the proposed MPM method is applied to simulate the Xinmo landslide,and the computational efficiency improves by approximately 20 times when the number of material points increases by about 2.5 times.关键词
GPU加速/物质点法/滑坡/大变形数值模拟Key words
GPU-accelerated/material point method/landslide/large deformation numerical simulation分类
天文与地球科学引用本文复制引用
王斌,陈鹏林,王頔,徐顺心,许子凯,吴进东..一种改进GPU加速策略的物质点分析方法及其在滑坡模拟中的应用[J].工程科学与技术,2025,57(4):1-11,11.基金项目
国家自然科学基金资助项目(52379111 （）
51979270) （）
中国科学院率先行动"百人计划"项目 （）
