PSO＿SA 算法在水下结构激励力源识别中的应用

摘要

An identification method by MFP is proposed for exciting the force source inside an underwater structure,and a concept of generalized copy field based on the structural acoustic radiation field is established.The particle-swarm optimization-simulated annealing (PSO-SA)algorithm is adopted for searching the optimum force source strengths.A single cylindrical shell in an underwater free field is selected as the investigated subject,and the sound radiation transfer function copy field is numerically calculated.The matched searching algorithm is simulated.The vibration and radiation sound pressures of the actual single cylindrical shell are measured in the anechoic tank.The measurement result and the numerical copy field are matching processed to search the optimum source strength.Both the simulation and the experiment results show that this method is effective for analyzing the source intensity.Moreover,the forecast accuracy is high when using the source-matching identification results to predict the radiation sound pressures.%提出一种识别水下弹性结构内部激励力源的匹配场处理方法，建立基于辐射声场的广义拷贝场概念，并提出采用粒子群模拟退火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作为研究对象，对声压传递函数进行了数值计算，针对激励力源识别匹配场处理方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结构振动与辐射声场测试，将测试结果与拷贝场进行匹配处理，搜索最优力源强度，并以该搜索结果进行了圆柱壳体辐射噪声预报。仿真结果与试验结果均表明，这种方法可以有效的针对结构内部的力源强度进行分析排序；同时，利用匹配识别的结果进行辐射噪声预报时，预报精度很高。