STRUCTURE-BORNE SOUND SOURCE MODEL AS A PRE-PROCESSOR FOR STATISTICAL ENERGY ANALYSIS: SuBSS-SEA Pre-processor

结构声源模型作为统计能量分析的预处理器：SubBSS-SEA 预处理器

• 批准号: EP/D00215X/1
• 负责人: Brian Mace
• 金额: $ 11.57万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2006
• 资助国家: 英国
• 起止时间: 2006 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FD00215X%2F1
• 关键词: STRUCTURE; BORNE; SOUND; SOURCE; MODEL

Statistical Energy Analysis (SEA) was introduced in the 1960s to predict if rocket payloads (satelites, delicate instruments) would be damaged by the vibration of the rocket during flight. Since then, SEA has been used to predict the vibration and noise created by structures when in operation, such as automobiles, aircraft, trains, ships, buildings, offshore structures and domestic appliances. It remains the only widely used calculation method for high frequencies and complicated structures. It is particularly useful in predicting how vibrations and sound travel through the structure.It works well if the cause of the vibration is airborne e.g. loudspeakers, fans, air flow noise, but less well for vibrating machines directly connected to the structure, e.g. motors, pumps, compressors; these are known as structure-borne sources. This is because the machine's vibrations transmit to the supporting/surrounding structure in a complicated combination of motions. Also, thin lightweight structures will vibrate more than heavy structures when connected to the same vibrating machines, so we need to know as much about the structure (the receiver) as about the machine (the source). As a result, there is not at present a practical method of estimating the strength of a machine's vibration such that the noise and vibration which it causes when it is installed can be predicted.This application seeks to bring together three centres of expertise to work on this problem; the Dynamics Group of the Institute of Sound and Vibration Research of Southampton University; the Acoustics Research Centre of Salford University; the Acoustics Research Unit of the University of Liverpool.The aim of the project is to develop a way of obtaining data on the strength of structure-borne sources, which can be used as input to SEA models of vehicles, buildings, appliances, etc., to predict the vibration and noise when the source is installed. The research will answer the following three questions:What do manufacturers of machines and machine components need to measure in order to obtain the strength of these structure-borne sound sources? How can this source data be organised and simplified in order to be understandable by engineers using SEA computer programs?How much information, on those parts of the vehicle, building, etc., which are connected to the vibrating machine, do we require to predict the vibration energy being transmitted?

1960年代引入了统计能量分析（SEA），以预测火箭在飞行过程中的振动是否会损坏火箭有效载荷（卫星，精致的仪器）。从那时起，SEA一直被用来预测建筑物在运营中产生的振动和噪音，例如汽车，飞机，火车，船只，建筑物，近海结构和家用电器。它仍然是高频和复杂结构的唯一广泛使用的计算方法。它在预测振动和声音如何穿过结构时特别有用。如果振动的原因是空气传播的，例如扬声器，风扇，气流噪音，但对于直接连接到结构的振动机，例如电动机，泵，压缩机；这些被称为结构传播的来源。这是因为机器的振动以复杂的运动组合传播到支撑/周围结构。同样，当连接到同一振动机时，薄薄的轻质结构将振动比重型结构更大，因此我们需要对结构（接收器）的了解与机器（源）（源）相比。结果，目前尚无一种实用的方法来估计机器振动的强度，因此可以预测安装时会引起的噪声和振动。此应用程序试图将三个专业知识汇集在一起​​，以解决这个问题。南安普敦大学声音与振动研究所的动态小组；索尔福德大学的声学研究中心；利物浦大学的声学研究部门。该项目的目的是开发一种获取有关结构 - 传播源强度的数据的方式，该数据可以用作车辆，建筑物，电器等海上模型的输入，以预测何时安装源时的振动和噪声。该研究将回答以下三个问题：机器和机器组件的制造商需要测量什么才能获得这些结构传播的声音来源的强度？如何组织和简化此源数据，以便使用Sea Computer程序可以理解？在车辆，建筑物等部分上有多少信息，它们连接到振动机，我们是否需要预测传输的振动能量？