基于GPU加速物质点方法的土岩混合斜坡大变形研究
Bingke Liu1,2, Wen Wang2, Zhigang Liu2
1Department of Engineering, Durham University, Durham, DH1 3LH, UK.
Scientific reports
|March 25, 2024
概括
在土壤岩石混合物中增加石材含量显著提高了斜坡稳定性和抗滑坡能力. 较高的石材百分比导致更好的安全因素,证明了对地质工程和危险减轻的关键见解.
科学领域:
- 地质技术工程 地质技术工程
- 计算力学 计算力学 计算力学
- 地理危险 地区性危险
背景情况:
- 土壤岩石混合物在斜坡稳定性分析中存在复杂的挑战.
- 了解滑坡动态对于基础设施安全和风险评估至关重要.
- 材料点方法 (MPM) 是模拟大型变形现象的强大工具.
研究的目的:
- 为了研究石材含量对土壤岩石混合物斜坡稳定性的影响.
- 在这些混合物中分析大排位滑坡的动态.
- 为了评估GPU加速的MPM框架对地质技术模拟的有效性.
主要方法:
- 数字图像处理以创建具有不同石材含量的土壤岩石混合物斜坡模型.
- 材料点强度减小方法 (SRM) 来评估斜坡稳定性.
- 重力坡道建立以确定初始条件并监测斜坡反应.
- 基于GPU的高性能MPM用于模拟山体滑坡动态.
主要成果:
- 石材含量和斜坡稳定性之间存在正相关性.
- 将石材含量从10%提高到40%,逐渐提高了安全系数.
- 用GPU加速的MPM框架有效地处理了复杂的地质技术模拟.
结论:
- 较高的石材含量提高了土壤岩石混合坡道的稳定性.
- 这项研究验证了GPU加速的MPM对滑坡动态的有效性.
- 这些发现为设计混合土壤岩石环境中的稳定斜坡提供了有价值的数据.
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