A genetic algorithm for slope stability analyses with concave slip surfaces using custom operators

Jurado Piña, Rafael y Jimenez Rodriguez, Rafael (2015). A genetic algorithm for slope stability analyses with concave slip surfaces using custom operators. "Engineering Optimization", v. 47 (n. 4); pp. 453-472. ISSN 0305-215X. https://doi.org/10.1080/0305215X.2014.895339.

Descripción

Título: A genetic algorithm for slope stability analyses with concave slip surfaces using custom operators
Autor/es:
  • Jurado Piña, Rafael
  • Jimenez Rodriguez, Rafael
Tipo de Documento: Artículo
Título de Revista/Publicación: Engineering Optimization
Fecha: 2015
Volumen: 47
Materias:
Palabras Clave Informales: Slope stability; evolutionary algorithms; heuristic methods; limit equilibrium; Spencer method
Escuela: E.T.S.I. Caminos, Canales y Puertos (UPM)
Departamento: Ingeniería Civil: Transporte y Territorio
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Heuristic methods are popular tools to find critical slip surfaces in slope stability analyses. A new genetic algorithm (GA) is proposed in this work that has a standard structure but a novel encoding and generation of individuals with custom-designed operators for mutation and crossover that produce kinematically feasible slip surfaces with a high probability. In addition, new indices to assess the efficiency of operators in their search for the minimum factor of safety (FS) are proposed. The proposed GA is applied to traditional benchmark examples from the literature, as well as to a new practical example. Results show that the proposed GA is reliable, flexible and robust: it provides good minimum FS estimates that are not very sensitive to the number of nodes and that are very similar for different replications

Más información

ID de Registro: 36032
Identificador DC: http://oa.upm.es/36032/
Identificador OAI: oai:oa.upm.es:36032
Identificador DOI: 10.1080/0305215X.2014.895339
URL Oficial: http://www.tandfonline.com/doi/abs/10.1080/0305215X.2014.895339#.VZQEULfNu1s
Depositado por: Memoria Investigacion
Depositado el: 01 Jul 2015 18:06
Ultima Modificación: 01 Jul 2015 18:06
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