Vibration transmission through rolling element bearings, part IV: statistical energy analysis

1992 ◽  
Vol 153 (1) ◽  
pp. 37-50 ◽  
Author(s):  
T.C. Lim ◽  
R. Singh
1994 ◽  
Vol 1 (1) ◽  
pp. 49-64 ◽  
Author(s):  
J.A. Steel ◽  
R.J.M. Craik ◽  
R. Wilson

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.


2021 ◽  
Vol 263 (2) ◽  
pp. 4779-4786
Author(s):  
Marios Filippoupolitis ◽  
Carl Hopkins

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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