新型冲击响应谱发生器试验参数智能协同优化设计

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Abstract In order to expand the function of a vertical impact testing machine, a new type of shock response spectrum (SRS) generator was designed in this paper.Combined with the Mindlin plate theory and the finite element simulation, the relationship among the inherent characteristics of a simply supported plate, the excitation load, and SRS was analyzed.An intelligent collaboration optimization scheme was proposed, which contains the orthogonal test, support vector machine (SVM), and the multi-population genetic algorithm (MPGA).First, we established a database of simulated SRSs by emulating orthogonal tests with Nastran software.Then, we used SVM to establish the surrogate model for predicting the root mean square error (RMSE) of simulated SRSs and the standard ones.Lastly, the optimal parameters of the resonant plate size (length a, width b, thickness h) and excitation load (peak A, width D) were obtained from the surrogate model by MPGA.The optimized results are that the size of the resonant plate is a=398 m, b=387 mm, h=32 mm and the excitation load is A=4.628 kN, D0=0.8 ms, and the RMSE is 27.7.Meanwhile these optimized results were verified and validated with simulation and experiments.The results show that both the simulated SRS and the experimental SRS meet the requirement of test standard.The simulated RMSE is 39.6 and the experimental RMSE is 33.4.This study provides a new way for impact test.

Key words： shock response spectrum generator Mindlin plate theory orthogonal test support vector machine multi-population genetic algorithm

Received: 04 January 2018 Published: 15 June 2019

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