Simultaneous Determination of Critical Slip Surface and Reliability Index for Slopes
This paper presents a new method for applying reliability-based design approaches to slope stability analysis. In this method the soil properties are considered to be random variables. The factor of safety of the slope is found using Bishop's simplified method for noncircular slip surfaces. By considering the variability of the soil properties, the probability of failure is determined from the reliability index ( ). The minimization problem (determination of the lowest value for the range of variables and possible slip surfaces considered) is solved using a genetic algorithm approach, which simultaneously locates the critical slip surface and determines the reliability index. The performance of the new method is compared to some existing reliability approaches when applied to case histories of slope failures from the geotechnical literature. The new approach is seen to provide reasonable and consistent estimates of the reliability index and critical slip surface.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/3519342
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Authors:
- Xue, Jian-Feng
- Gavin, Ken
- Publication Date: 2007-7
Language
- English
Media Info
- Media Type: Print
- Features: Figures; References; Tables;
- Pagination: pp 878-886
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Serial:
- Journal of Geotechnical and Geoenvironmental Engineering
- Volume: 133
- Issue Number: 7
- Publisher: American Society of Civil Engineers
- ISSN: 1090-0241
- Serial URL: http://ojps.aip.org/gto
Subject/Index Terms
- TRT Terms: Algorithms; Case studies; Design methods; Mathematical methods; Probability; Random variables; Safety factors; Slip surfaces; Slope failure; Slope stability; Slopes; Soils by properties
- Uncontrolled Terms: Reliability index
- Subject Areas: Data and Information Technology; Design; Geotechnology; Highways; Safety and Human Factors; I42: Soil Mechanics;
Filing Info
- Accession Number: 01053964
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 20 2007 9:56AM