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

统计能量分析（SEA）是在20世纪60年代引入的，用于预测火箭有效载荷（卫星、精密仪器）在飞行过程中是否会受到火箭振动的破坏。从那时起，SEA就被用于预测汽车、飞机、火车、船舶、建筑物、海上建筑和家用电器等结构在运行时产生的振动和噪声。它仍然是唯一广泛应用于高频和复杂结构的计算方法。它在预测振动和声音如何在结构中传播时特别有用。如果振动的原因是空气传播的，例如扬声器，风扇，气流噪音，但对于直接连接到该结构的振动机器，例如电机，泵，压缩机，则效果较差；这些被称为结构源。这是因为机器的振动以复杂的运动组合传递给支撑/周围结构。此外，当连接到相同的振动机器时，薄而轻的结构比重的结构振动得更大，所以我们需要了解结构（接收器）和机器（源）一样多。因此，目前还没有一种实用的方法来估计一台机器的振动强度，从而可以预测它在安装时所引起的噪音和振动。这项申请旨在汇集三个专门知识中心来解决这个问题；南安普顿大学声音与振动研究所动力学组；索尔福德大学声学研究中心；利物浦大学声学研究小组。该项目的目的是开发一种获取结构源强度数据的方法，这些数据可用于输入车辆，建筑物，电器等的SEA模型，以预测安装源时的振动和噪声。该研究将回答以下三个问题：为了获得这些结构传播声源的强度，机器和机器部件的制造商需要测量什么？如何组织和简化这些源数据，以便工程师使用SEA计算机程序能够理解？对于与振动机相连的车辆、建筑物等部件，我们需要多少信息来预测传递的振动能量？

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?