Optimization Strategy for Modal Test Measurement Points of Large-Span Steel Beams Based on Improved Particle Swarm Optimization Algorithm with Random Weights

Abstract

In order to obtain better vibration response data and improve the accuracy of results in large-span steel beam modal tests, this paper proposes an optimization strategy for the arrangement of measurement points on large-span steel beams. First, an optimized arrangement of large-span steel beam measurement points was proposed based on an improved particle swarm optimization algorithm; the test function verified the superiority of the improved algorithm. Secondly, the deck of a steel tube truss girder bridge (STTGB) was taken as the research object; the computational modal analysis method was adopted to obtain the computational modal results of the bridge deck. In addition, measurement points were arranged on the bridge deck according to the uniform distribution method and the proposed optimization algorithm, and modal tests were conducted. Finally, the modal parameters of the bridge deck based on the two arrangement methods were obtained and compared to the best arrangement method for the STTGB deck. The results show that the proposed method has good efficiency in the optimal arrangement of the bridge deck measurement points and the obtained modal parameters have high accuracy. Therefore, this paper has important guiding significance for the study of structural dynamic characteristics using the distribution method based on an optimization algorithm.