Landslide;
Shear strength parameters;
Back analysis;
Upper bound theory of limit analysis;
Reliability;
Strength reduction technique;
Correlation;
SLOPE STABILITY ANALYSIS;
CHARTS;
SPREADSHEET;
FAILURES;
SOILS;
SORM;
D O I:
10.1007/s10346-015-0604-3
中图分类号:
P5 [地质学];
学科分类号:
0709 ;
081803 ;
摘要:
It is essential to determine the shear strength parameters c and phi on the sliding surface for stability evaluation and engineering design of a landslide. In this study, a new parameter back analysis method is proposed by combining the 2D/3D upper bound method of limit analysis and reliability theory to accurately determine the shear strength parameters for a 3D slope with a single failure surface. The proposed reliability back analysis method overcomes the shortcomings of the traditional deterministic analysis method of slope stability that cannot take into account the randomness and uncertainty of geotechnical parameters. Based on the reliability theory, two methods were studied: first-order reliability method (implemented by spreadsheet and Matlab, called spreadsheet method and constrained optimization method, respectively, in this paper) and Monte Carlo simulation. The optimized values of c and phi were obtained by establishing only one balance equation with the consideration of the pore water pressure or other complex conditions, which can solve the problem of the back analysis of strength parameters for a single 3D sliding surface condition. The correlation research showed that the negative correlation between c and phi greatly affected the back analysis results, and the reliability index values were conservative without considering such a negative correlation. A case study for the back analysis of shear strength parameters is conducted based on a practical landslide model with a broken line slip surface slope in Zhuquedong village, Luxi town, Xiangxi County, Hunan Province, China, and a suggestion for the selection of landslide cross section is presented. The results show that the back analysis results determined by the reliability theory coincide well with the survey and experimental results. The proposed method is found to be more accurate and effective in determining the values of shear parameters than that of the traditional deterministic inversion method.
机构:
Univ Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, Portugal
Escola Super Saude, Dept Fisioterapia, Inst Politecn Setubal, P-2914503 Setubal, PortugalUniv Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, Portugal
Fernandes, Rita
Armada-da-Silva, Paulo
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h-index: 0
机构:
Univ Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, PortugalUniv Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, Portugal
Armada-da-Silva, Paulo
Pool-Goudaazward, Annelies
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h-index: 0
机构:
Vrije Univ Amsterdam, Fac Human Movement Sci, Res Inst MOVE, NL-1081 BT Amsterdam, NetherlandsUniv Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, Portugal
Pool-Goudaazward, Annelies
Moniz-Pereira, Vera
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, PortugalUniv Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, Portugal
Moniz-Pereira, Vera
Veloso, Antonio P.
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h-index: 0
机构:
Univ Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, PortugalUniv Lisbon, Fac Motricidade Humana, CIPER, LBMF, P-1499002 Cruz Quebrada, Dafundo, Portugal
机构:
China Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R China
Res Ctr Geohazard Monitoring & Warning Three Gorg, Chongqing 404000, Peoples R ChinaChina Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R China
Xue, Yang
Miao, Fasheng
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h-index: 0
机构:
China Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R ChinaChina Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R China
Miao, Fasheng
Wu, Yiping
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h-index: 0
机构:
China Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R China
Res Ctr Geohazard Monitoring & Warning Three Gorg, Chongqing 404000, Peoples R ChinaChina Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R China
Wu, Yiping
Li, Linwei
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h-index: 0
机构:
China Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R ChinaChina Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R China
Li, Linwei
Meng, Jiajia
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h-index: 0
机构:
China Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R ChinaChina Univ Geosci, Fac Engn, 388 Lumo Rd, Wuhan 430074, Peoples R China
机构:
China Three Gorges Univ, Inst Geol Disaster, Yichang 443002, Hubei, Peoples R China
Sinocoal Int Engn Grp, Chongqing Res & Design Inst, Chongqing 400016, Peoples R ChinaChina Three Gorges Univ, Inst Geol Disaster, Yichang 443002, Hubei, Peoples R China
Yuan Heng
Luo Xian-qi
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h-index: 0
机构:
Shanghai Jiao Tong Univ, Sch Naval Architecture Ocean & Civil Engn, Shanghai 200030, Peoples R ChinaChina Three Gorges Univ, Inst Geol Disaster, Yichang 443002, Hubei, Peoples R China
Luo Xian-qi
Zhang Zhen-hua
论文数: 0引用数: 0
h-index: 0
机构:
China Three Gorges Univ, Inst Geol Disaster, Yichang 443002, Hubei, Peoples R ChinaChina Three Gorges Univ, Inst Geol Disaster, Yichang 443002, Hubei, Peoples R China