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飞机舱室内噪声预测及软件开发
引用本文:王彦琴,盛美萍,孙进才. 飞机舱室内噪声预测及软件开发[J]. 西北工业大学学报, 2003, 21(2): 218-221
作者姓名:王彦琴  盛美萍  孙进才
作者单位:西北工业大学,航海工程学院,陕西,西安,710072
摘    要:应用面向对象及可视化技术,开发了一套飞机舱室内的噪声预测软件。该软件利用统计能量法对整个飞机及其所处环境进行子结构划分、功率流分析及外部激励处理,研究了飞机壁板的隔声量及其内部声场分布,为用户提供操作简单的界面,初始参数选择灵活,分析结果可为飞机舱室降噪提供依据,后处理直观明了。

关 键 词:噪声预测 可视化 统计能量法 隔声量
文章编号:1000-2758(2003)02-0218-04
修稿时间:2001-11-19

Software for Predicting Noise in Aircraft Cabin
Wang Yanqin,Sheng Meiping,Sun Jincai. Software for Predicting Noise in Aircraft Cabin[J]. Journal of Northwestern Polytechnical University, 2003, 21(2): 218-221
Authors:Wang Yanqin  Sheng Meiping  Sun Jincai
Abstract:We contracted to develop software for the prediction of noise in aircraft cabin. Statistical Energy Analysis (SEA) is an effective method for studying the vibration and sound response of aircraft cabin, whose structure is subjected to high frequency and broad band random excitation. We investigated the transmission loss of randomly incident sound through an aircraft wall with SEA. Section 1, taking into consideration the special conditions existing in aircraft cabin, uses SEA to define substructures and analyze power flow (sub section 1.1) and to deal with external excitation including high frequency and broad band random excitation(sub section 1.2). Then sub section 1.3 analyzes the sound field in the aircraft cabin. Section 2 explains the development of our software with object oriented and visualization techniques; the software interface is quite simple. Section 3 gives a numerical simulation example, whose results are shown in Figs.5, 6, 7 and 8. These results show preliminarily that our software looks promising for shortening the design period of aircraft and for making control of noise in aircraft cabin less difficult.
Keywords:noise prediction   Statistical Energy Analysis (SEA)   visualization   sound transmission loss
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