Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559425
Title: Prediction of sound and vibration response using transient statistical energy analysis
Author: Robinson, Matthew
Awarding Body: University of Liverpool
Current Institution: University of Liverpool
Date of Award: 2012
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Abstract:
Transient sounds generated from structure-borne and airborne excitation are very common in buildings and cause the majority of disturbances in dwellings. The maximum sound pressure level corresponds well with annoyance and disturbance and current guidelines use this descriptor to describe the threshold for sleep disturbance. Hence this thesis addresses a need for methods to quantify transient sound sources and prediction models that can determine maximum sound pressure levels due to these sound sources. Statistical Energy Analysis (SEA) provides a framework that describes sound radiation and structure-borne sound transmission in buildings. SEA is used in this thesis as a basis on which to develop Transient Statistical Energy Analysis (TSEA) for building acoustics. The TSEA power balance describes energy exchange between subsystems in the time domain and is controlled by the time interval. Limits for the time interval are proposed based upon energy decay and path statistics of the source subsystem. New methods are proposed for measuring and quantifying the transient power input from airborne and structure-borne excitation. Detailed analysis is also used to quantify the signal processing errors, due the time-weighted level detector and filters, associated with the measurement of maximum levels. The use of steady-state SEA coupling loss factors in TSEA for sound radiation and structure-borne sound transmission is validated through good agreement in comparisons of measurements and predictions of maximum sound and vibration levels. This validation is extended to complex transient sources that have been incorporated into TSEA, such as the ISO rubber ball, transients overlaying stationary noise and airborne transients. Case studies of heavyweight buildings show that accurate predictions of maximum sound pressure and vibration levels are given if Ns ≥ 1 and Mav ≥ 0.5. TSEA has also been validated for the prediction of structural decay curves, numerical experiments have been carried out to quantify the error in the estimation of the total loss factor and to develop an improvement to the evaluation of decay curves.
Supervisor: Hopkins, Carl. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.559425  DOI: Not available
Keywords: NA Architecture
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