强度折减采样结合SVM代理模型的土质边坡可靠度高效分析

卢建; 曾鹏; 冯兵; 王鑫; 严祖龙

doi:10.19509/j.cnki.dzkq.tb20240756

您当前的位置：

首页 >

文章列表页 >

强度折减采样结合SVM代理模型的土质边坡可靠度高效分析

工程地质与地质灾害 | 更新时间：2026-11-05

- 强度折减采样结合SVM代理模型的土质边坡可靠度高效分析
- 强度折减采样结合SVM代理模型的土质边坡可靠度高效分析
- 地质科技通报 2026年45卷第3期页码：265-276
- 作者机构：
  
  1. 成都理工大学环境与土木工程学院
  2. 成都理工大学地质灾害防治与地质环境保护国家重点实验室
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目(42377189)
- DOI：10.19509/j.cnki.dzkq.tb20240756
  中图分类号： TU43
- 纸质出版：2026
- 稿件说明：
移动端阅览
卢建, 曾鹏, 冯兵, 等. 强度折减采样结合SVM代理模型的土质边坡可靠度高效分析[J]. 地质科技通报, 2026,45(3):265-276.

卢建, 曾鹏, 冯兵, et al. 强度折减采样结合SVM代理模型的土质边坡可靠度高效分析[J]. Bulletin of Geological Science and Technology, 2026, 45(3): 265-276.
卢建, 曾鹏, 冯兵, 等. 强度折减采样结合SVM代理模型的土质边坡可靠度高效分析[J]. 地质科技通报, 2026,45(3):265-276. DOI： 10.19509/j.cnki.dzkq.tb20240756.

卢建, 曾鹏, 冯兵, et al. 强度折减采样结合SVM代理模型的土质边坡可靠度高效分析[J]. Bulletin of Geological Science and Technology, 2026, 45(3): 265-276. DOI： 10.19509/j.cnki.dzkq.tb20240756.

摘要

边坡可靠度分析的高昂计算成本限制了其在工程实践中的广泛应用，亟需开发更加高效、准确的分析方法。本研究提出了一种有限差分强度折减法采样（strength reduction sampling，简称SRS）结合主动学习支持向量机（support vector machine，简称SVM）代理模型的新型土质边坡可靠度分析方法（SRS-SVM）。通过强度折减采样策略，高效生成邻近极限状态面高信息量的训练样本点，提升了SVM代理模型的训练效率。通过4个经典边坡案例对所提方法的高效性和准确性进行了验证。研究结果表明，本方法相比于传统的可靠度方法，如经典响应面（classical response surface method，简称CRSM）、径向基函数（radial basis function，简称RBF）和高斯过程回归结合强度折减采样（strength reduction sampling combined with Gaussian process regression，简称SRS-GPR）等，在计算效率（数值模型计算小于40次）和计算准确性（系统失稳概率相对误差绝对值小于1.5%）均表现出明显的优势，并且在处理功能函数非线性及复杂边坡时展现出较强的适应性。本研究提出的SRS-SVM方法将强度折减采样与主动学习SVM分类模型结合，在计算效率、计算精度以及处理复杂问题等方面表现优异，具有良好的工程应用前景，可为工程边坡风险评价与防治提供高效的技术支撑。

Abstract

关键词

Keywords

references

张天龙.基于主动学习代理模型和强度折减法的土质滑坡失稳概率评价方法研究[D].成都理工大学,2020(04).

陈应显,王璞,周萌,朱喆,刘光伟,迟晓东.断层面分割露天矿边坡精细化建模及稳定性分析[J].地质科技通报,2026(01).

程刚,吴勇飞,曹德胜,吴亚熹.人工智能算法在滑坡监测与预测技术中的研究与应用[J].地质科技通报,2025(05).

陈家豪,张燕,杜明芳,黄海荣,徐志军,陈旭.基于优化极限学习机模型的边坡稳定性预测研究[J].金属矿山,2024(06).

高玉峰,王玉杰,张飞,姬建,陈亮,倪钧钧,张卫杰,宋健,杨尚川.边坡工程与堤坝工程研究进展[J].土木工程学报,2024(08).

赵国彦,邹景煜,王猛.基于混沌粒子群改进支持向量机对露天矿边坡稳定性的分类预测[J].矿冶工程,2024(02).

武博强,王勇,张葆永,程振全,杨德宏.土质边坡数值模型稳定性的求解精度研究[J].公路交通科技,2024(01).

姬建,崔红志,佟斌,吕庆,高玉峰.基于物理过程不确定性的降雨诱发浅层滑坡易发性快速区划：GIS-FORM技术开发与应用[J].岩石力学与工程学报,2024(04).

曹文庚,潘登,徐郅杰,张文培,任宇,南天.河南省滑坡灾害易发性制图研究：多种机器学习模型的对比[J].地质科技通报,2025(01).

万增勇,李苹,杨关,何勇,张朋朋,毛宇.基于代理模型的土质边坡可靠度分析[J].武汉大学学报(工学版),2023(10).

刘亚栋,刘贤,黎学优,杨智勇.基于强度折减采样与高斯过程回归的空间变异土坡自适应可靠度分析[J].岩土工程学报,2024(05).

邓志平,钟敏,潘敏,郑克红,牛景太,蒋水华.考虑参数空间变异性和基于高效代理模型的边坡可靠度分析[J].岩土工程学报,2024(02).

蔡征龙,孟永东,秦毅,陈博夫,田斌.基于改进Green-Ampt模型的滑坡稳定时变可靠度分析[J].岩土力学,2022(01).

徐文刚,余旭荣,年廷凯,曹琦,曹爱武,裴振伟.基于FLAC~(3D)的三维边坡稳定性强度折减法计算效率改进算法及其应用[J].吉林大学学报(地球科学版),2021(05).

Shan LIN,Hong ZHENG,Chao HAN,Bei HAN,Wei LI.Evaluation and prediction of slope stability using machine learning approaches[J].Frontiers of Structural and Civil Engineering,2021(04).

张天龙,曾鹏,李天斌,孙小平.基于主动学习径向基函数的边坡系统可靠度分析[J].岩土力学,2020(09).

胡添翼,戴波,何启,薛洋,黄梦婧.基于随机森林分类算法的边坡稳定预测模型[J].人民黄河,2017(05).

何婷婷,尚岳全,吕庆,任姗姗.边坡可靠度分析的支持向量机法[J].岩土力学,2013(11).

苏永华,罗正东,张盼凤,杨红波.基于Kriging的边坡稳定可靠度主动搜索法[J].岩土工程学报,2013(10).

褚雪松,庞峰,李亮,李冉.边坡稳定有限元强度折减法与极限平衡法对比[J].人民黄河,2011(10).

Tao Wang,Jian Ji,Xin Yin,Yixian Wang.Efficient probabilistic slope stability analysis using conditional probability-based weighted low-discrepancy simulation[J].Computers and Geotechnics,2024.

Kurnaz Talas Fikret,Erden Caner,Dağdeviren Uğur,Demir Alparslan Serhat,Kökçam Abdullah Hulusi.Comparison of machine learning algorithms for slope stability prediction using an automated machine learning approach[J].Natural Hazards,2024.

Zhang Wengang,Gu Xin,Hong Li,Han Liang,Wang Lin.Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges[J].Applied Soft Computing Journal,2023.

Liu Yadong,Li Xueyou,Liu Xian,Yang Zhiyong.A combined shear strength reduction and surrogate model method for efficient reliability analysis of slopes[J].Computers and Geotechnics,2022.

Zeng Peng,Zhang Tianlong,Li Tianbin,Jimenez Rafael,Zhang Jie,Sun Xiaoping.Binary classification method for efficient and accurate system reliability analyses of layered soil slopes[J].Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards,2022.

Li Xueyou,Liu Yadong,Yang Zhiyong,Meng Zhenzhu,Zhang Limin.Efficient slope reliability analysis using adaptive classification-based sampling method[J].Bulletin of Engineering Geology and the Environment,2021(12).

Yibiao Liu,Weizhong Ren,Chenchen Liu,Guijun Fu,Wenhui Xu,Simin Cai.A search method for probabilistic critical slip surfaces with arbitrary shapes and its application in slope reliability analysis[J].Natural Hazards,2021.

Xu Li,Chunlin Gong,Liangxian Gu,Wenkun Gao,Zhao Jing,Hua Su.A sequential surrogate method for reliability analysis based on radial basis function[J].Structural Safety,2018.

Ning-Cong Xiao,Ming J. Zuo,Chengning Zhou.A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis[J].Reliability Engineering and System Safety,2018.

Qiujing Pan,Daniel Dias.An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation[J].Structural Safety,2017.

J.Z. Ma,J. Zhang,H.W. Huang,L.L. Zhang,J.S. Huang.Identification of representative slip surfaces for reliability analysis of soil slopes based on shear strength reduction[J].Computers and Geotechnics,2017.

Fei Kang,Jing-shuang Li,Jun-jie Li.System reliability analysis of slopes using least squares support vector machines with particle swarm optimization[J].Neurocomputing,2016.

J. Zhang,H.Z. Chen,H.W. Huang,Z. Luo.Efficient response surface method for practical geotechnical reliability analysis[J].Computers and Geotechnics,2015.

J. Zhang,H. W. Huang,K. K. Phoon.Application of the Kriging-Based Response Surface Method to the System Reliability of Soil Slopes[J].Journal of Geotechnical and Geoenvironmental Engineering,2013.

Jian Ji,Bak Kong Low.Stratified Response Surfaces for System Probabilistic Evaluation of Slopes[J].Journal of Geotechnical and Geoenvironmental Engineering,2012.

B. Echard,N. Gayton,M. Lemaire.AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation[J].Structural Safety,2011.

Rajib Chowdhury,B.N. Rao.Probabilistic stability assessment of slopes using high dimensional model representation[J].Computers and Geotechnics,2010.

Jianye Ching,Kok-Kwang Phoon,Yu-Gang Hu.Efficient Evaluation of Reliability for Slopes with Circular Slip Surfaces Using Importance Sampling[J].Journal of Geotechnical and Geoenvironmental Engi,2009(6).

Sung Eun Cho.Probabilistic stability analyses of slopes using the ANN-based response surface[J].Computers and Geotechnics,2009.

B. Xu,B. K. Low.Probabilistic Stability Analyses of Embankments Based on Finite-Element Method[J].Journal of Geotechnical and Geoenvironmental Engineering,2006.

Kleijnen J P C,Beers W C M van.Application-Driven Sequential Designs for Simulation Experiments: Kriging Metamodelling[J].The Journal of the Operational Research Society,2004.

John T. Christian,Charles C. Ladd,Gregory B. Baecher.Reliability Applied to Slope Stability Analysis[J].Journal of Geotechnical Engineering,1994.

浏览量

233

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

广西北流台风暴雨特征及其对浅层滑坡稳定性的影响

江汉平原双层结构包气带渗透系数不确定性对氨氮运移的影响

不同降雨工况下的矿山修复工程边坡稳定性评价

层级制全局敏感性分析方法及其在地下水模型中的应用

非均质多孔介质中微塑料迁移过程的实验研究