Reliability Analysis of Slope Safety Factor by Using GPR and GP

Created by W.Langdon from gp-bibliography.bib Revision:1.8204

@Article{samui:GaGE,

• author = "Pijush Samui and Rahul Kumar and Uttam Yadav and Sunita Kumari and Dieu Tien Bui",
• title = "Reliability Analysis of Slope Safety Factor by Using {GPR} and {GP}",
• journal = "Geotechnical and Geological Engineering",
• year = "2019",
• volume = "37",
• number = "3",
• pages = "2245--2254",
• month = jun,
• keywords = "genetic algorithms, genetic programming, Slope reliability, FOSM, GPR and GP",
• URL = "http://link.springer.com/article/10.1007/s10706-018-0697-2",
• DOI = "doi:10.1007/s10706-018-0697-2",
• size = "10 pages",
• abstract = "Reliability analysis of slope is an important aspect of geotechnical engineering practice. However, it is very difficult to assess the estimation of reliability analysis of slope because it include the uncertainty parameters i.e. soil parameters cohesion of soil (c), angle of shearing resistance (phi) and unit weight of soil (gamma). In former days, to execute the reliability analysis of slope, several analytical methods were used but at the present days various computer technique (model) are available and among which Gaussian Process Regression (GPR) and Genetic Programming (GP) are part of them. primary objective is to survey the fitness of GPR and GP with the help of First Order Second Moment Method (FOSM) to find out the Reliability analysis of slope. The GP is the non-parametric kernel probabilistic method. It is adequately assigned by its mean function m(x) and covariance function k(x, x). GP is a standard technique for acquiring computer automatically to resolve a problem from an eminent-level argument of what need to be performed. This study shows that the proposed GPR based FOSM is suitable alternative for reliability analysis of slope.",

}

Genetic Programming entries for Pijush Samui Rahul Kumar Uttam Yadav Sunita Kumari Dieu Tien Bui

Citations