Research on rapid prediction for low-frequency acoustic radiation of thin-shell structures in fluids
A fast prediction method for acoustic radiation of underwater thin shell with internal structure is proposed.The neural network model is constructed with Bayesian hyperparameter optimization method,and the mapping relationship between surface vibration response and sound pressure is established.The reliability of the proposed method is verified by comparison with theoretical simulation and experimental results.The comparison with experimental results shows that the mean absolute error at the peak value is 6.31 dB in the range of 1～100 Hz.Compared with the finite element method,the goodness of fit of the total sound pressure level is 97.79％and the average absolute error is 0.85 dB.This method has high computational efficiency and provides a new idea for rapid prediction of acoustic radiation of underwater structure vibration.
万方数据
维普
