Parameter Back Analysis and Stability Prediction of Loess Landslide Based on NSGA-II Genetic Algorithm

被引：1

作者：

Zeng P. ^{[1
,2
]}

Wang Y. ^{[1
,2
,4
]}

Zhang T. ^{[3
]}

Zhang L. ^{[1
,2
]}

Nan X. ^{[5
]}

机构：

[1] College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu

[2] State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu

[3] School of Civil Engineering, Southwest Jiaotong University, Chengdu

[4] Sichuan Chuanjian Survey and Design Institute Co. Ltd., Chengdu

[5] Shandong High‐Speed Engineering Detection Co. Ltd., Jinan

来源：

Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | 2023年 / 48卷 / 05期

关键词：

genetic algorithm; hazard geology; loess landslide; multi-objective optimization; slip surface identification; stability back analysis;

D O I：

10.3799/dqkx.2023.034

中图分类号：

学科分类号：

摘要：

Many loess landslides were caused by the agricultural irrigation in Heifangtai terrace, Yongjing County, Gansu Province. Their stability analysis and critical slip surface identification are particularly important, as it can provide a good support to disaster prevention. The loess landslides located on the margin of Heifangtai terrace have the characteristics of progressive backward failure, and the occurred and potential landslides are highly similar. The results from back analysis can provide important data basis for future landslide stability prediction. In this paper, the finite difference strength reduction method was used to calibrate the cohesion and internal friction angle of loess based on the NSGA-II genetic algorithm by setting three objective optimization functions (i. e., mean value of soil strength parameters, slip surface and factor of safety). Taking Dangchuan 2# landslide in Heifangtai terrace as a study case, based on the slip surface observed after the first slide and assuming its factor of safety was equal to 1, the back analysis results show that the cohesion and internal friction angle of natural loess were 28.20 kPa and 25.16°; and the effective cohesion and internal friction angle of saturated loess were 16.59 kPa and 16.11°. Based on the computed results, the factor of safety and critical slip surface of the three subsequent slides were predicted, with their comparison with in-site observation information. The results show that a more reasonable estimation of loess strength parameters can be obtained by using the multi-objective constraint optimization algorithm, which provides a new solution for the stability analysis and quantitative risk assessment of landslides in Heifangtai terrace. © 2023 China University of Geosciences. All rights reserved.

引用

页码：1675 / 1685

页数：10

共 39 条

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