THE PREDICTION OF STRUCTURAL VIBRATION TRANSMISSION THROUGH A MOTOR VEHICLE USING STATISTICAL ENERGY ANALYSIS

1996 ◽  
Vol 193 (3) ◽  
pp. 691-703 ◽  
Author(s):  
J.A. Steel
Keyword(s):  
Energy Analysis ◽  
Motor Vehicle ◽  
Structural Vibration ◽  
Statistical Energy Analysis ◽  
Vibration Transmission

A study of engine noise transmission using statistical energy analysis

1998 ◽  
Vol 212 (3) ◽  
pp. 205-213 ◽  
Author(s):  
J. A. Steel
Keyword(s):  
Energy Analysis ◽  
Motor Vehicle ◽  
Power Input ◽  
Motor Vehicles ◽  
Statistical Energy Analysis ◽  
Engine Noise ◽  
Vibration Transmission ◽  
Resonant Transmission ◽  
Noise Transmission ◽  
Overall Performance

This work uses statistical energy analysis (SEA) to study engine noise transmission through a small passenger motor vehicle and in order to do this the sound and vibration power input is calculated. An aim of this work is to identify the causes of differences between measured and SEA predicted vibration transmission in motor vehicles. To allow this to be studied a relatively simple running condition and vehicle are chosen. Airborne and structural paths for sound and vibration transmission to a vehicle saloon are considered. Also, SEA is used to identify the relative importance of each structural and airborne power input in relation to the sound power that is transmitted to the vehicle saloon. This technique can then make it possible for the power input matrix to be greatly simplified. The most important power input to the small passenger vehicle used in this study is found to be at the floor mounts of the engine subframe. At high frequencies resonant transmission through the firewall (dash) can also be important. The results indicate the difficulty of estimating the power input, which is the main cause of differences between measured and predicted results (even for the restricted running condition considered here). The work also demonstrates that SEA can be very useful for identifying important transmission paths and predicting overall performance.

A Study of Vibration Transmission in a Framed Building

1994 ◽  
Vol 1 (1) ◽  
pp. 49-64 ◽  
Author(s):  
J.A. Steel ◽  
R.J.M. Craik ◽  
R. Wilson
Keyword(s):  
Energy Analysis ◽  
Sound Transmission ◽  
Statistical Energy Analysis ◽  
Vibration Transmission ◽  
Analysis Methods ◽  
Floor Slabs

Sound transmission through large buildings can be studied using Statistical Energy Analysis (SEA). In this study measurements were carried out to investigate sound transmission through a framed building. Sound transmission between columns, beams, walls and floors is investigated. Sound transmission through the building is investigated and measured and predicted results are shown. Difficulties were encountered when modelling large floor slabs. The work demonstrates the application of Statistical Energy Analysis methods to the study of sound transmission in framed buildings and highlights some of the diiffculties.

Vibration transmission across fractured beam-to-column junctions of reinforced concrete

2021 ◽  
Vol 263 (2) ◽  
pp. 4779-4786
Author(s):  
Marios Filippoupolitis ◽  
Carl Hopkins
Keyword(s):  
Monte Carlo Simulation ◽  
Reinforced Concrete ◽  
Concrete Beam ◽  
Energy Analysis ◽  
Reinforced Concrete Beam ◽  
Statistical Energy Analysis ◽  
Coupling Loss ◽  
Vibration Transmission ◽  
Bending Modes ◽  
Negative Coupling

To detect human survivors trapped in buildings after earthquakes by using structure-borne sound it is necessary to have knowledge of vibration transmission in collapsed and fragmented reinforced-concrete buildings. In this paper, Statistical Energy Analysis (SEA) is used to model the vibration transmission in seismic damaged reinforced concrete beam-to-column junctions where the connection between the beam and the column is made only via the steel reinforcement. An ensemble of 30 randomly damaged beam-to-column junctions was generated using a Monte Carlo simulation with FEM. Experimental SEA (ESEA) is then considered with two or three subsystems to determine the CLFs between the beam and the column with either bending modes or the combination of all mode types. It is shown that bending modes dominate the dynamic response and that the uncertainty of predicting the CLFs using FEM with ESEA is sufficiently low that it should be feasible to estimate the coupling even when the exact angle between the beam and the column is unknown. In addition, the use of two rather than three subsystems for the junction significantly decreases the number of negative coupling loss factors with ESEA.

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