Abstract
Generally, in geotechnical engineering, back analyses are used to investigate uncertain parameters. Back analyses can be undertaken by considering known conditions, such as failure surfaces, displacements, and structural performances. Many geotechnical problems have irregular solution domains, with the objective function being non-convex, and may not be continuous functions. As such, a complex non-linear optimization function is typically required for most geotechnical problems to attain a better understanding of these uncertainties. Therefore, particle swarm optimization (PSO) and a genetic algorithm (GA) are utilized in this study to facilitate in back analyses mainly based on upper bound finite element limit analysis method. These approaches are part of evolutionary computation, which is appropriate for solving non-linear global optimization problems. By using these techniques with upper-bound finite element limit analysis (UB-FELA), two case studies showed that the results obtained are reasonable and reliable while maintaining a balance between computational time and accuracy.
Highlights
Many researchers have paid attention to assessing the stability of rock slope stability in the past few decades [1,2,3,4], but it is still a major challenge for engineers
In this study, using the optimization algorithms (PSO and genetic algorithm (GA)) and Equation (3) as the fitness function, the unit weight obtained from the upper-bound finite element limit analysis (UB-FELA) method is fitted successively to match the targeted unit by back analyzing for the horizontal seismic coefficient parameter of the rock slope
The results show the importance of considering thickness to height ratio in rock slope stability analysis
Summary
Many researchers have paid attention to assessing the stability of rock slope stability in the past few decades [1,2,3,4], but it is still a major challenge for engineers. Design input parameters are obtained from in situ rock mechanics testing and measurement. The Daguangbao landslide, with an approximate influenced area of 7.3–10 million m2 and a volume of 750–850 million m3 , was the biggest landslide induced by the 2008 Wenchuan earthquake. Was it the largest know landslide in China, and one of the largest known landslides all over the world. Several studies conducted on the Daguangbao landslide [40] focused on the characteristics, failure mechanism, and geological properties immediately after sliding. Several post-earthquake field investigations were carried out [41], to further study the characteristics and failure mechanism
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