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Details of Grant 

EPSRC Reference: EP/D002109/1
Title: STRUCTURE-BORNE SOUND SOURCE MODEL AS A PRE-PROCESSOR FOR STATISTICAL ENERGY ANALYSIS: SuBSS-SEA Pre-processor
Principal Investigator: Moorhouse, Professor AT
Other Investigators:
Avis, Dr M
Researcher Co-Investigators:
Project Partners:
Black & Decker Europe CSTB Dynamic Structures and Systems Ltd
ESI Marinetech South Ltd
Department: Res Inst for the Built and Human Env
Organisation: University of Salford
Scheme: Standard Research (Pre-FEC)
Starts: 01 April 2006 Ends: 31 March 2009 Value (£): 95,917
EPSRC Research Topic Classifications:
Acoustics Materials testing & eng.
Numerical Analysis Statistics & Appl. Probability
EPSRC Industrial Sector Classifications:
Construction Transport Systems and Vehicles
Aerospace, Defence and Marine
Related Grants:
EP/D00215X/1 EP/D002427/1
Panel History:  
Summary on Grant Application Form
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?
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Organisation Website: http://www.salford.ac.uk