基于静态松弛法的边坡细胞自动机分析方法
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(长沙理工大学 土木与环境工程学院,湖南 长沙 410114)

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通讯作者:

陈文胜(1966—),男,教授,主要从事岩土工程教学与边坡稳定性方面的研究。E-mail:chenwensheng1966@126.com

中图分类号:

U416

基金项目:

国家自然科学基金项目(51778067)


Static relaxation-based slope analysis method for cellular automata
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(School of Civil and Environmental Engineering, Changsha University of Science & Technology, Changsha 410114, China)

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    摘要:

    【目的】边坡稳定性分析一直是岩土工程领域研究的热门课题,在目前常见的方法中,传统极限平衡法的求解过程快速,但通常需要引入各种假定,而有限元等数值方法的求解则缓慢且繁琐。因此,可将静态松弛离散单元法和细胞自动机相结合提出一种兼具计算效率与精度优势的边坡稳定性分析方法。【方法】通过弹簧罚模型将块体细胞面与面的接触关系简化为点-面接触关系,将一般块体的基本力学模型等效为块体弹簧力学模型,在静态松弛离散单元法的理论基础上,结合极限平衡理论和细胞自动机机制建立了边坡细胞自动机模型。基于计算机开发语言C++,自行编制了分析程序DEMCA Slope,利用程序对两个算例进行计算分析。【结果】对比算例1,安全系数相对误差为6.0%~7.4%,对比算例2,安全系数相对误差为8.4%~13.0%,模型所反映的破坏结果与实际结果基本一致,所得安全系数在合理范围内。【结论】优化后的方法兼具计算效率与精度优势,为分析和研究边坡稳定性提供了新思路。

    Abstract:

    [Purposes] Slope stability analysis has remained a research hotspot in the geotechnical engineering field. Among the current common methods, the solution of the traditional limit equilibrium method is fast but usually requires the introduction of various assumptions, while finite element and other numerical methods feature slow and cumbersome solution. Thus, the static relaxation discrete element method (DEM) can be combined with cellular automata (CA) to propose a slope stability analysis method that possesses both computational efficiency and accuracy advantages. [Methods] By adopting the spring penalty model, this paper simplified the contact relationship between the faces of block cells to a point-face contact relationship, and the basic mechanical model of a general block was equivalent to a block spring mechanical model. Meanwhile, based on the static relaxation DEM theory, this paper combined the limit equilibrium theory and the CA mechanism to build a slope CA model. Additionally, an analysis program DEMCA Slope was independently developed via the adoption of the computer programming language C++, with two calculation examples analyzed by employing this program. [Findings] In comparing the calculation example 1, the relative error of the safety factor ranges from 6.0% to 7.4%, while in comparing example 2, the relative error of the safety factor is between 8.4% and 13.0%. The failure results demonstrated by the model are basically consistent with the actual ones, and the obtained safety factors are within a reasonable range. [Conclusions] The proposed method holds advantages in both computational efficiency and accuracy, providing a novel insight into the analysis and study of slope stability for further solving slope stability problems.

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李颖豪,陈文胜,蔡明智,等.基于静态松弛法的边坡细胞自动机分析方法[J].交通科学与工程,2025,41(1):157-166.
LI Yinghao, CHEN Wensheng, CAI Mingzhi, et al. Static relaxation-based slope analysis method for cellular automata[J]. Journal of Transport Science and Engineering,2025,41(1):157-166.

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  • 收稿日期:2022-03-10
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  • 在线发布日期: 2025-02-26
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