基于粒子群遗传搜索算法的水下结构内部激励力源识别

文章针对水下弹性结构，提出一种识别结构内部激励力源的匹配场处理方法及基于结构辐射声场的广义拷贝场概念，并提出采用粒子群遗传融合搜索算法对最优力源强度进行匹配搜索。以水下自由声场中的单层圆柱壳体为研究对象，采用数值计算方法建立了结构辐射声场传递函数拷贝场，并对匹配搜索算法进行了数值仿真分析。在消声水池中进行了水下单层圆柱壳体辐射声场测试，将测试结果与拷贝场进行了匹配处理。仿真结果与试验结果均表明，这种力源识别匹配场处理方法可以有效地针对结构内部的力源强度进行分析排序，利用匹配识别的结果进行辐射噪声预报时，预报精度很高。

Identification Method for Exciting Force Source Inside Underwater Structure Based on PSO_GA

An identification method by matched field processing (MFP) is presented for exciting force source inside the underwater structure, and a concept of generalized copy field based on the struc-tural acoustic radiation field is proposed. The particle swarm optimization_genetic algorithm (PSO_GA) is adopted for searching the optimization force source strengths. A single cylindrical shell in underwa-ter free field is selected as the investigated subject, and the sound radiation transfer function copy field is constructed by numerical method. The matched searching algorithm is simulated and analyzed in different conditions. And more, the radiation sound pressures of the actual single cylindrical shell are measured in the anechoic tank. The measured result and the copy field are matching processed. Both the simulated and the experiment results show that this identification method for exciting force source by MFP is effective for analyzing the source intensity. The forecast accuracy is high when us-ing the source matching identification results to predict radiation sound field of the structure.