Structural damage detection by using genetic algorithms: a comparison of different types of individual coding

AbstractIn this paper, genetic algorithms are used to solve the structural damage detection problem. Three types of representation of individuals are com- pared: binary, real and binary with redundant representation. The binary and real-coded algorithms compute the damage extension for each element in the structure, therefore, a re-starting process of individuals is used. The redundant representation algorithm searches the damaged elements in a dynamic way and quantifes the damage for these elements only. A truss structure under different damage scenarios is analyzed, being damage considered a reduction in the elasticity module of the damaged element. Results show that the redundant representation algorithm presents the best option to locate and quantify damage in a structure.

• Autores: Jesús Daniel Villalba Morales; Universidad de Sao Paulo; José Elías Laier; Universidad de Sao Paulo
• Fecha de publicación: 2010
• Institución: Universidad del Norte
• Repositorio: Repositorio Uninorte
• Idioma: spa
• OAI Identifier: oai:manglar.uninorte.edu.co:10584/3900
• Acceso en línea: http://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/873; http://hdl.handle.net/10584/3900
• License: http://purl.org/coar/access_right/c_abf2