黄土边坡“三维最危险滑裂面”的高效搜索和稳定性评价

黄雅虹; 吕悦军; 荣棉水; 石玉成

doi:10.11899/zzfy20170113

黄土边坡“三维最危险滑裂面”的高效搜索和稳定性评价

doi: 10.11899/zzfy20170113

1.
中国地震局地壳应力研究所, 北京 100085
2.
中国地震局兰州地震研究所, 兰州 730000

基金项目:

地震行业科研专项 200808031

详细信息

作者简介:
黄雅虹, 女, 生于1963年。副研究员。主要从事地震地质灾害、土动力学特性和场地条件以及地震安全性评价等方面的研究工作。E-mail:yhhuang@aliyun.com

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出版历程
- 收稿日期: 2016-07-28
- 刊出日期: 2017-03-01

Efficient Search for the Most Possible 3D Slip Surface on the Loess Slope and Its Stability Evaluation

1.
Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, China
2.
Lanzhou Institute of Seismology, China Earthquake Administration, Lanzhou 730000, China

摘要

摘要: 本文介绍了作者所开发的一套实用型黄土坡体“三维最危险滑裂面”搜索和稳定性评价软件系统的核心思想，即采用Monte Carlo随机搜索法与遗传算法相结合的优化方法，高效生成一系列接近（或包含）“最危险滑裂面”的三维滑裂面，并以Hungr法所确定的稳定性系数最小为筛选依据，搜索确定任意形态黄土坡体的“三维最危险滑裂面”，进而基于已知的“三维最危险滑裂面”，进一步考虑各种可能的参数变化，进行严密的稳定性分析和评价。
- 黄土滑坡 /
- 三维最危险滑裂面 /
- 稳定性评价
Abstract: We introduce the main idea of a software system and developed for searching the most possible 3D slip surface on the loess slope and evaluating the stability of the slope. In the system we use an optimization method, which combined Monte Carlo random search method and genetic algorithm, to simulate a great number of possible 3D slip surfaces of a loess slope efficiently, and then use the stability coefficients determined by Hungr's method as the indicator to pick out the most possible slip surface. Furthermore, based on the most possible slip surface, we can effectively analyze and evaluate the stability of the loess slope by considering the variations of different mechanical parameters of loess.
- Loess slope /
- Most possible 3D slip surface /
- Stability evaluation

HTML全文

图 1 Monte Carlo随机搜索编程思路

Figure 1. Flowchart for Monte Carlo random search programming method

下载: 全尺寸图片幻灯片

图 2 黄土坡体任意三维滑裂面的“归一化”数学表述示意

Figure 2. A normalized mathematical representation of any 3D slip surface on a loess slope

下载: 全尺寸图片幻灯片

图 3 Monte Carlo随机搜索法与遗传算法相结合的搜索编程思路

Figure 3. Flowchart of programming method for the combination of Monte Carlo random search and genetic algorithm

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图 4 单个土柱的受力情况示意图

Figure 4. Schematic diagram of the stress situation of a single soil column

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图 5 黄土高边坡实例现场

Figure 5. The field site of a high loess slope used for the experimental study

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图 6 黄土高边坡实测剖面

Figure 6. Profile of the high loess slope

下载: 全尺寸图片幻灯片

图 7 “三维最危险滑裂面”搜索系统所确定的马蹄型三维潜在最危险滑裂面

Figure 7. The most possible 3D "horseshoe-like" slip surface predicted by our integrated search system

下载: 全尺寸图片幻灯片

表 1 皋兰县黄土高边坡土力学参数及稳定性预测结果

Table 1. The soil mechanical parameters of the high loess slope in Gaolan county and the predicted result for its stability

取样环境	土样号	容重ρ/g·cm^-3	含水量ω/%	振次N	粘聚力C/kPa	内摩角Φ/°	F_s(不同地震系数)
取样环境	土样号	容重ρ/g·cm^-3	含水量ω/%	振次N	粘聚力C/kPa	内摩角Φ/°	0.1	0.15	0.2
兰州皋兰破坏应变3%	L-1	1.45	7.9	10	36.6	22.4	1.66	1.49
	L-1	1.45	7.9	20	35.2	21.8			1.3
	L-2	1.44	10.63	10	32.6	21.6	1.52	1.36
	L-2	1.44	10.63	20	30.0	21.4			1.16
	L-3	1.62	17.86	10	22.4	19.2	1.05	0.94
	L-3	1.62	17.86	20	21.6	18.7			0.82
	L-4	1.72	23.40	10	21.0	17.0	0.92	0.82
	L-4	1.72	23.40	20	19.0	16.5			0.69

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