Connection Damage Detection of Double Beam System under Moving Load with Genetic Algorithm

Abstract

In this paper, a novel damage detection approach for the spring connection of the double beam system using the dynamic response of the beam and genetic algorithm is presented. The double beam system is regarded as both Bernoulli-Euler beams with simply supported ends, the upper and lower beams are connected by a series of linear springs with certain intervals. With the genetic algorithm, the dynamic acceleration response of double beam system under moving load, which can be solved by the Newmark-β integration procedure, is used as the input data to detect the connection damage. Thus the dynamic response of the double beam system with a certain damage pattern can be calculated employing the moving load model. If the calculated result is quite close to the recorded response of the damaged bridge, this damage pattern will be the solution. The connection damage detection process of the proposed approach is presented herein, and its feasibility is studied from the numerical investigation with simple and multiple damages detection. It is concluded that the sophisticated damage conditions need much longer time to detect successfully.

Genetic Algorithm Service Vulnerability Mining Technology of Android System

“…When using genetic algorithm to solve specific problems, we first need to solve the problem of parameter coding and decoding in the actual problem solution space. The parameters in the solution space of practical problems can only be processed by genetic algorithm after they are transformed into individuals (also known as chromosomes) in the genetic space represented by gene strings using certain coding rules [26]. This process is called the coding process from individual phenotype to gene in genetic algorithm.…”