Volume 33 Issue 5
Sep 2019
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SUN Wenjuan, CHEN Haibo, HUANG Yingqing. Time Domain Reconstruction Optimization of Pyrotechnic Shock ResponseSpectrum via Adaptive Genetic Algorithm[J]. Chinese Journal of High Pressure Physics, 2019, 33(5): 052301. doi: 10.11858/gywlxb.20180681
Citation: SUN Wenjuan, CHEN Haibo, HUANG Yingqing. Time Domain Reconstruction Optimization of Pyrotechnic Shock ResponseSpectrum via Adaptive Genetic Algorithm[J]. Chinese Journal of High Pressure Physics, 2019, 33(5): 052301. doi: 10.11858/gywlxb.20180681

Time Domain Reconstruction Optimization of Pyrotechnic Shock ResponseSpectrum via Adaptive Genetic Algorithm

doi: 10.11858/gywlxb.20180681
  • Received Date: 09 Nov 2018
  • Rev Recd Date: 27 Nov 2018
  • In order to solve the problem that the existing acceleration reconstruction methods rely on a large number of test data, this paper compares the performances of two different acceleration reconstruction methods, the damped sine and the wavelet. The evaluation of the quality in reconstructing shock response spectrum (SRS) is transformed into the minimum optimization problem of the matching degree of the reconstructed SRS with the target spectrum. The adaptive genetic algorithm (AGA) is applied to the optimization problem of SRS reconstruction for the first time. This paper compares the performances of three different AGAs in time domain reconstruction and optimization of SRS, which are crossover first, mutation first and uncertain-order AGAs, and compares them with the genetic algorithm (GA). Numerical tests show that AGA’s optimization results are much better than GA’s, and the results obtained by uncertain-order AGA are the best among the three AGA methods, through which all frequency points are within the tolerance range of (–3/+6)dB. This research provides support for further improving the response simulation accuracy of spacecraft structure under pyrotechnic shock loads.

     

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