The walking load modeling method based on direct test results of a force-measuring plate has a problem being not able to reflect pedestrian’s true gait on a structure. Here, a genetic algorithm was used to study the inverse problem modeling method of recognizing walking load with structural responses. Firstly, based on Fourier series load model, considering double-support feature of walking, taking structural displacement response power spectrum and displacement response time history as objective functions, the two-stage genetic algorithm was built to identify walking load parameters. Then, the correctness and applicability of the proposed algorithm were verified through identification of the load model and the actual measured load, respectively. The recognition results showed that the recognition effect of 11 control parameters including the first five orders dynamic load factors, phase and walking frequency, etc. is better; the proposed algorithm is robust.
Key words
load identification /
genetic algorithm /
Fourier series model /
walking load
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