Displacement Detection of Structures using a Micro-genetic Algorithm
نویسنده
چکیده
This study deals with a method to identify displacements on structures using a Microgenetic algorithm (M-GA). We developed the inverse technique using a Micro-genetic algorithm which can make global solution searches possible as opposed to classical gradientbased optimization techniques such as the Least-square method. The technique described in this paper may allow us not only to detect the base function but also to find unknown displacements of a structure. Example models are simulated to detect unknown displacements and weight values at the same time.
منابع مشابه
BASIS PURSUIT BASED GENETIC ALGORITHM FOR DAMAGE IDENTIFICATION
In damage detection the number of elements is generally more than the number of measured frequencies. Consequently, the corresponding damage detection equation is undetermined and thus has infinite solutions. Since in the damaged structures most of their elements remain healthy, the sparsest solution for the damage detection equation is mostly the actual damage. In the proposed method, the dama...
متن کاملOptimization of micro hardness of nanostructure Cu-Cr-Zr alloys prepared by the mechanical alloying using artificial neural networks and genetic algorithm
Cu–Cr-Zr alloys had wide applications in engineering applications such as electrical and welding industrial especially for their high strength, high electrical as well as acceptable thermal conductivities and melting points. It was possible to prepare the nano-structure of these age hardenable alloys using mechanical alloying method as a cheap and mass production technique to prepare the non-eq...
متن کاملMulti-Damage Detection for Steel Beam Structure
Damage detection has been focused by researchers because of its importance in engineering practices. Therefore, different approaches have been presented to detect damage location in structures. However, the higher the accuracy of methods is required the more complex deliberations. Based on the conventional studies, it was observed that the damage locations and its size are associated with dynam...
متن کاملSELECTION OF SUITABLE RECORDS FOR NONLINEAR ANALYSIS USING GENETIC ALGORITHM (GA) AND PARTICLE SWARM OPTIMIZATION (PSO)
This paper presents a suitable and quick way to choose earthquake records in non-linear dynamic analysis using optimization methods. In addition, these earthquake records are scaled. Therefore, structural responses of three different soil-frame models were examined, the change in maximum displacement of roof was analyzed and the damage index of whole structures was measured. The soil classifica...
متن کاملA Hybrid Particle Swarm Optimization and Genetic Algorithm for Truss Structures with Discrete Variables
A new hybrid algorithm of Particle Swarm Optimization and Genetic Algorithm (PSOGA) is presented to get the optimum design of truss structures with discrete design variables. The objective function chosen in this paper is the total weight of the truss structure, which depends on upper and lower bounds in the form of stress and displacement limits. The Particle Swarm Optimization basically model...
متن کامل