A GENETIC MULTI-OBJECTIVE FRAMEWORK FOR STRUCTURAL DAMAGE EVOLUTION
Damage assessment is becoming increasingly important in order to determine the safety and reliability. With the purpose of providing global damage detection methods applicable to complex structures, techniques based on modal testing and signal processing constitute a promising approach for damage identification in civil and mechanical engineering. These methods examine changes in the dynamic characteristics of the. structure, such as natural frequencies and mode shapes, etc, to detect the structural damage. The comparison between the undamaged and damaged structure makes possible the identification of the location and the severity of damage. This paper presents a global damage detection and assessment nondestructive methodology based on changes in frequencies and mode shapes of vibration of a structural system and on changes in modal flexibilities. A multiobjective optimization scheme based on genetic algorithms is proposed to localize damaged areas of the structure. The method has been verified by a number of damage scenarios for simulated beams.
Ricardo Perera Antonio Ruiz Carlos Manzano
Department of Structural Mechanics, Technical University c/Jose Gutierrez Abascal 2, Madrid 28006, Spain
国际会议
长沙
英文
489-494
2007-11-19（万方平台首次上网日期，不代表论文的发表时间）