PSI - Issue 22

Available online at www.sciencedirect.com

Available online at www.sciencedirect.com Available online at www.sciencedirect.com

ScienceDirect Structural Integrity Procedia 00 (2018) 000–000 Structural Integrity Procedia 00 (2018) 000–000 Procedia Structural Integrity 22 (2019) 345–352

www.elsevier.com / locate / procedia

www.elsevier.com / locate / procedia

2452-3216 © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers 10.1016/j.prostr.2020.01.043 ∗ Corresponding author. Tel.: + 86-18761654420 E-mail address: mahdishadabfar@tongji.edu.cn 2210-7843 c 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers. Slope stability is a critical problem in civil engineering projects, which is encountered in many geotechnical struc tures including dams, embankments, and structures constructed along the slopes. The main objective of slope stability analysis is to identify the most unstable slip surface that may cause failure in the slope. In conventional methods, instability potential is evaluated by calculating the factor of safety (FS), and the critical slip surface is the one with the lowest FS. Mathematically, the problem is to find the position vector of the slip surface, v ( x 1 , x 2 , ..., x n ), which ∗ Corresponding author. Tel.: + 86-18761654420 E-mail address: mahdishadabfar@tongji.edu.cn 2210-7843 c 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers. © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers Abstract Slope stability analysis is one of the most challenging problems in geotechnical engineering. Due to the uncertainty involved in the problem, probabilistic methods are recently utilized to estimate the probability of slope failure. In this study, the slope stability is presented as an optimization problem and the Simulated Annealing (SA) method is used to identify the slip surface with the minimum safety factor. The SA algorithm is then integrated with the Monte Carlo sampling method to calculate the probability of slope failure. Next, the groundwater level is added to the problem formulation as a random variable to model the uncertainty for cases where the groundwater table is not accurately determined. The results of the analysis showed that for slopes with low safety factors, the uncertainty of the groundwater table worsens the condition and increases the failure probability. Moreover, the parametric study showed that the insu ffi cient understanding of groundwater level distribution and the assumption of uniform distribution further increases the failure probability. The results of this study are presented in the form of a probability curve against the groundwater table. This presentation has practical applications in real projects. c 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the First Internatio al Symposium on Risk a d Safety of Complex Structures and Components organizers. Keywords: Type your keywords here, separated by semicolons ; First International Symposium on Risk and Safety of Complex Structures and Components A hybrid Monte Carlo-Simulate A nealing approach for reliability analysis of slope stability considering the uncertainty in water table level Mahdi Shadab Far a, ∗ , Hongwei Huang a a Department of Geotechnical Engineering, Tongji University, No. 1239, Siping Road, Shanghai, 200092, China Abstract Slope stability analysis is one of the most challenging problems in geotechnical engineering. Due to the uncertainty involved in the problem, probabilistic methods are recently utilized to estimate the probability of slope failure. In this study, the slope stability is presented as an optimization problem and the Simulated Annealing (SA) method is used to identify the slip surface with the minimum safety factor. The SA algorithm is then integrated with the Monte Carlo sampling method to calculate the probability of slope failure. Next, the groundwater level is added to the problem formulation as a random variable to model the uncertainty for cases where the groundwater table is not accurately determined. The results of the analysis showed that for slopes with low safety factors, the uncertainty of the groundwater table worsens the condition and increases the failure probability. Moreover, the parametric study showed that the insu ffi cient understanding of groundwater level distribution and the assumption of uniform distribution further increases the failure probability. The results of this study are presented in the form of a probability curve against the groundwater table. This presentation has practical applications in real projects. c 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http: // creativecommons.org / licenses / by-nc-nd / 4.0 / ) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers. Keywords: Type your keywords here, separated by semicolons ; First International Symposium on Risk and Safety of Complex Structures and Components A hybrid Monte Carlo-Simulated Annealing approach for reliability analysis of slope stability considering the uncertainty in water table level Mahdi Shadab Far a, ∗ , Hongwei Huang a a Department of Geotechnical Engineering, Tongji University, No. 1239, Siping Road, Shanghai, 200092, China 1. Introduction 1. Introduction Slope stability is a critical problem in civil engineering projects, which is encountered in many geotechnical struc tures including dams, embankments, and structures constructed along the slopes. The main objective of slope stability analysis is to identify the most unstable slip surface that may cause failure in the slope. In conventional methods, instability potential is evaluated by calculating the factor of safety (FS), and the critical slip surface is the one with the lowest FS. Mathematically, the problem is to find the position vector of the slip surface, v ( x 1 , x 2 , ..., x n ), which