统计能量分析预测飞机壁板隔声量及舱室内声场分布

飞机舱室内噪声的预测对改进飞机性能具有重要意义，并为实际飞机设计和噪声控制措施提供理论依据。文章建立了飞机壁板隔声的统计能量分析模型，研究了外部声场激励和振动激励通过飞机壁板的隔声量，预测了飞机舱室内的声场分布。在此基础上运用面向对象及可视化技术，开发出相应的专用软件，该软件界面友好，用户可根据需要选定结构参数，材料性能，更改外部激励，并对预测结果进行可视化处理。运用该软件对舱内噪声进行预测，可以缩短飞机设计周期，减小对已有结构进行噪声控制的困难，提高经济效益。文中通过对某型飞机的舱室内噪声进行预测，验证了统计能量法预测飞机壁板隔声量的可靠性和该软件的实用性。

Prediction of transmission loss through aircraft sidewall and cabin noise using statistical energy analysis

Prediction of noise inside aircraft cabin is important in improving performance of aircrafts, which provides a theoretical basis for noise control in aircraft design. In this paper, a model of statistical energy analysis is used to study sound transmission loss of the aircraft cabin, and predict the sound field in the cabin. A set of software has been developed to estimate cabin noise using object-oriented and visualization techniques. The software analyzes transmission loss through the cabin's sidewall with statistical energy analysis and predicts the sound field. The interface is simple, which allows random choice of the initial parameters. The results are reliable and post-processing is straightforward.