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)是否会因火箭在飞行过程中的振动而损坏。从那时起，SEA被用来预测汽车、飞机、火车、船舶、建筑物、近海结构和家用电器等结构在运行时产生的振动和噪音。它仍然是唯一被广泛使用的高频和复杂结构的计算方法。它在预测振动和声音如何通过结构传播时特别有用。如果振动的原因是空气传播的，如扬声器、风扇、气流噪声，则效果很好，但对于与结构直接连接的振动机器，如马达、泵、压缩机，则效果较差；这些被称为结构传播源。这是因为机器的振动以复杂的运动组合传递到支撑/周围结构。此外，当连接到相同的振动机器时，轻薄的结构将比重型结构振动更多，因此我们需要像了解机器(源)一样多地了解结构(接收器)。因此，目前还没有一种实用的方法来估计机器的振动强度，从而可以预测它在安装时所引起的噪音和振动。该应用程序寻求将三个专业中心聚集在一起来解决这个问题：南安普顿大学声音与振动研究所的动力学小组；索尔福德大学的声学研究中心；该项目的目的是开发一种获取结构源强度数据的方法，该数据可用于车辆、建筑物、电器等海洋模型的输入，以预测安装源时的振动和噪声。这项研究将回答以下三个问题：机器和机器部件的制造商需要测量什么，才能获得这些结构声源的强度？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？关于车辆、建筑物等连接到振动机器的那些部分，我们需要多少信息来预测正在传输的振动能量？

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?