Detección de daño estructural por algoritmos genéticos: una comparación de diferentes tipos de codifcación de individuos

Jesús Daniel Villalba Morales; José Elías Laier

Authors

Jesús Daniel Villalba Morales Universidad de Sao Paulo
José Elías Laier Universidad de Sao Paulo

Abstract

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.

Author Biographies

Jesús Daniel Villalba Morales, Universidad de Sao Paulo

Maestro en Ingeniería de Estructuras, Universidade de São Paulo (Brazil).
José Elías Laier, Universidad de Sao Paulo

Doctor en Ingeniería de Estructuras, Universidade de Sâo Paulo. Professor
Titular do Departamento de Engenharia de Estruturas da Escola de Engenharia
de São Carlos- Universidade de São Paulo (Brasil).