{"title":"基于重力搜索算法的边坡稳定性分析及临界破坏面检测","authors":"Jayraj Singh, H. Banka, A. Verma","doi":"10.1109/RAIT.2018.8389049","DOIUrl":null,"url":null,"abstract":"Slope stability analysis is one of the most sophisticated and challenging task in the field of mining and Geo-technical engineering. Locating the critical slip surface associate with a minimum safety factor is a major concern in determining the stability analysis of earth slopes such as embankments, road-cut slope, excavation, dam, retaining walls, landfills, etc. It's become a difficult constrained global optimization problem due to the availability of discontinuous function and presented multiple local minima points in a large solution search space. Trial and error methods also can not employ due to large search space. Thus, classical techniques are incapable to estimate valid and optimal solution due to its high computational complexity. In this paper, a meta-heuristic approach called a gravitational search algorithm (GSA) is adopted for analyzing the factor of safety. From the quantitative evaluation and implementation result, it is reported that the GSA algorithm could acquire result more consistent with higher precision. The algorithm is examined by solving a benchmark study of the literature while, simulation design for geometry and slope model is validated using ‘slide a rock-science’ software tool.","PeriodicalId":219972,"journal":{"name":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Analysis of slope stability and detection of critical failure surface using gravitational search algorithm\",\"authors\":\"Jayraj Singh, H. Banka, A. Verma\",\"doi\":\"10.1109/RAIT.2018.8389049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Slope stability analysis is one of the most sophisticated and challenging task in the field of mining and Geo-technical engineering. Locating the critical slip surface associate with a minimum safety factor is a major concern in determining the stability analysis of earth slopes such as embankments, road-cut slope, excavation, dam, retaining walls, landfills, etc. It's become a difficult constrained global optimization problem due to the availability of discontinuous function and presented multiple local minima points in a large solution search space. Trial and error methods also can not employ due to large search space. Thus, classical techniques are incapable to estimate valid and optimal solution due to its high computational complexity. In this paper, a meta-heuristic approach called a gravitational search algorithm (GSA) is adopted for analyzing the factor of safety. From the quantitative evaluation and implementation result, it is reported that the GSA algorithm could acquire result more consistent with higher precision. The algorithm is examined by solving a benchmark study of the literature while, simulation design for geometry and slope model is validated using ‘slide a rock-science’ software tool.\",\"PeriodicalId\":219972,\"journal\":{\"name\":\"2018 4th International Conference on Recent Advances in Information Technology (RAIT)\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Recent Advances in Information Technology (RAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAIT.2018.8389049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Recent Advances in Information Technology (RAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAIT.2018.8389049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
摘要
边坡稳定性分析是采矿和岩土工程领域最复杂、最具挑战性的课题之一。确定与最小安全系数相关的临界滑面是确定土坡稳定性分析的主要关注点,例如堤防,路堑边坡,开挖,水坝,挡土墙,垃圾填埋场等。由于不连续函数的可用性以及在较大的解搜索空间中存在多个局部极小点,使得该问题成为一个困难的约束全局优化问题。由于搜索空间大,试错法也不能采用。因此,传统方法由于计算复杂度高,无法估计出有效的最优解。本文采用一种称为引力搜索算法(GSA)的元启发式方法来分析安全系数。从定量评价和实施结果来看,GSA算法可以获得更一致、精度更高的结果。该算法通过解决文献的基准研究进行了检验,同时,使用“slide a rock-science”软件工具验证了几何和边坡模型的模拟设计。
Analysis of slope stability and detection of critical failure surface using gravitational search algorithm
Slope stability analysis is one of the most sophisticated and challenging task in the field of mining and Geo-technical engineering. Locating the critical slip surface associate with a minimum safety factor is a major concern in determining the stability analysis of earth slopes such as embankments, road-cut slope, excavation, dam, retaining walls, landfills, etc. It's become a difficult constrained global optimization problem due to the availability of discontinuous function and presented multiple local minima points in a large solution search space. Trial and error methods also can not employ due to large search space. Thus, classical techniques are incapable to estimate valid and optimal solution due to its high computational complexity. In this paper, a meta-heuristic approach called a gravitational search algorithm (GSA) is adopted for analyzing the factor of safety. From the quantitative evaluation and implementation result, it is reported that the GSA algorithm could acquire result more consistent with higher precision. The algorithm is examined by solving a benchmark study of the literature while, simulation design for geometry and slope model is validated using ‘slide a rock-science’ software tool.