• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 25 Issue 4
Aug.  2012
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Article Contents
ZHANG Wencheng, ZHOU Suihua, QU Yang. Improved Particle Swarm Optimization Algorithm for Sound Absorption Model with Polyurea Coating[J]. Journal of Southwest Jiaotong University, 2012, 25(4): 698-704. doi: 10.3969/j.issn.0258-2724.2012.04.026
Citation: ZHANG Wencheng, ZHOU Suihua, QU Yang. Improved Particle Swarm Optimization Algorithm for Sound Absorption Model with Polyurea Coating[J]. Journal of Southwest Jiaotong University, 2012, 25(4): 698-704. doi: 10.3969/j.issn.0258-2724.2012.04.026

Improved Particle Swarm Optimization Algorithm for Sound Absorption Model with Polyurea Coating

doi: 10.3969/j.issn.0258-2724.2012.04.026
  • Received Date: 10 Jul 2011
  • Publish Date: 25 Aug 2012
  • To improve the stealth performance of small underwater targets with anechoic coating, a reflection coefficient formula was deduced based on a basic sound absorption model for multilayer structure with polyurea coating. According to the application requirements of material optimization, a modified dynamic mixing particle swarm optimization (PSO) algorithm was proposed by improving the PSO strategy and combining the global algorithm with the local algorithm, to improve the convergence capability and search precision. Then, the material parameters of the model were optimized using the improved algorithm. The optimization results show that the model has optimal performance when the material Young's modulus is a piecewise linear function of frequency. On this basis, a theoretic method to improve the sound absorption performance of the absorption model was provided, and then verified experimentally. The application results show that the target strength of the optimized model is decreased by more than 10 dB in the range of 140 to 500 kHz.

     

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