Valoración del desempeño de un algoritmo de evolución diferencial en detección de daño estructural considerando diversas funciones objetivo

Article English OPEN
Villalba-Morales, Jesús Daniel; Laier, José Elias;
  • Publisher: Universidad Nacional de Colombia
  • Subject: differential evolution | detección de daño | optimization | optimización parámetros dinámicos | damage detection | metaheuristics | metaheurísticas | evolución diferencial | dynamic parameters

Structural damage detection has become an important research topic in certain segments of the engineering community. These methodologies occasionally formulate an optimization problem by defining an objective function based on dynamic parameters, with metaheuristics use... View more
  • References (25)
    25 references, page 1 of 3

    [1] [2] [3] [4] [5] [6] [7] [8] [9] Talbi, E., Metaheuristics: From design to implementation. New Jersey: Ed. J. Wiley & Sons, 2009. Navarro, R., Puris, A. and Bello, R., The performance of some metaheuristics in continuous problems studied according to the location of the optima in the search space. DYNA, 80 (180), pp. 60- 66, 2013.

    Begambre, O., Hybrid algorithm for damage detection: A heuristic approach, Ph. D. dissertation, University of Sao Paulo, Sao Carlos, SP, Brazil, 2007.

    Mares, C. and Surace, C., An application of genetic algorithm to identify damage in elastic structures. Journal of Sound and Vibration, 195 (2), pp. 95-215, 1996. Moradi, S., Razi, P. and Fatahi, L., On the application of bees algorithm to the problem of crack detection of beam-type structures.

    Computers and Structures, 89, pp. 2169-2175, 2011. Fadel, L., Fadel, L.F. Kaminski, J. and Riera, J.D., Damage detection under ambient vibration by harmony search algorithm.

    Expert Systems with Applicatioon, 39, pp. 9704-9714, 2012. Casciati, S., Stiffness identification and damage localization via differential evolution algorithms. Structural Control and Health Monitoring, 15, pp. 436-449, 2008. Sandesh, K., Shankar, K., Application of a hybrid of particle swarm and genetic algorithm for structural damage detection. Inverse Problems in Science and Engineering, 18 (7), pp. 997-1021, 2012.

  • Metrics
Share - Bookmark