Research on the Image Orientation Bridge Structural Stability Testing Platform Based on Feature Point Recognition and Genetic Algorithm
Abstract
In this paper, we conduct research on image orientation bridge structural stability testing platform based on feature point recognition and the genetic algorithm. The pseudo-dynamic test in structural seismic test requires a step-by-step solution to the differential equation of motion of the whole structure. In each solution step, the calculated displacement is applied to the specimen, and then the measured feedback force is put into the differential equation. One-step displacement, and so on. As the number and capacity of a single laboratory equipment and test site is limited, often only one substructure tests. To deal with this challenge, this paper proposes the feature point recognition and the genetic algorithm based methodology to construct the image orientation bridge structural stability testing platform. The theoretical basis and numerical performance are proved.
Keywords
Image Orientation, Bridge Structural, Point Recognition, Genetic Algorithm
DOI
10.12783/dtssehs/asshm2016/8368
10.12783/dtssehs/asshm2016/8368