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System reliability analysis of soil slopes with general slip surfaces using multivariate adaptive regression splines |
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| Affiliation: | 1. Key Laboratory of Ministry of Education for Geomechanics and Embankment Engineering, Hohai University, Nanjing 210098, China;2. Jiangsu Province''s Geotechnical Research Center, Nanjing 210098, China;3. Department of Geotechnical Engineering, Tongji University, Shanghai 200092, China;1. School of Civil Engineering, Chongqing University, Chongqing 400045, China;2. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China;3. Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing University, Chongqing 400045, PR China |
| Abstract: | A data driven multivariate adaptive regression splines (MARS) based algorithm for system reliability analysis of earth slopes having random soil properties under the framework of limit equilibrium method of slices is considered. The theoretical formulation is developed based on Spencer method (valid for general slip surfaces) satisfying all conditions of static equilibrium coupled with a nonlinear programming technique of optimization. Simulated noise is used to take account of inevitable modeling inaccuracies and epistemic uncertainties. The proposed MARS based algorithm is capable of achieving high level of computational efficiency in the system reliability analysis without significantly compromising the accuracy of results. |
| Keywords: | Slope stability General slip surface System reliability analysis Multivariate adaptive regression splines Monte Carlo simulation Noise |
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