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Prediction of train-induced vibrations inside buildings using transfer functions
AbstractThis article presents a study of the use of transfer functions to predict vibrations inside a building due to train-induced ground vibrations. It is proposed that knowing the transfer function of a building, the vibrations inside a similar building can be predicted given a known ground motion outside. A comparison has been conducted between predicted and measured vibrations inside a building in south-western Sweden due to freight and passenger trains. The transfer function was derived by using a stationary vibrating source. The average particle velocity (1s-r.m.s.) inside the house was calculated with the transfer functions with an average error of −10%, −0.02mm/s. Prediction was achieved with a standard deviation of 23%, 0.06mm/s when no filtering of the data was used. Further work is needed to ascertain the accuracy of this method.
Prediction of train-induced vibrations inside buildings using transfer functions
AbstractThis article presents a study of the use of transfer functions to predict vibrations inside a building due to train-induced ground vibrations. It is proposed that knowing the transfer function of a building, the vibrations inside a similar building can be predicted given a known ground motion outside. A comparison has been conducted between predicted and measured vibrations inside a building in south-western Sweden due to freight and passenger trains. The transfer function was derived by using a stationary vibrating source. The average particle velocity (1s-r.m.s.) inside the house was calculated with the transfer functions with an average error of −10%, −0.02mm/s. Prediction was achieved with a standard deviation of 23%, 0.06mm/s when no filtering of the data was used. Further work is needed to ascertain the accuracy of this method.
Prediction of train-induced vibrations inside buildings using transfer functions
With, Christoffer (Autor:in) / Bodare, Anders (Autor:in)
Soil Dynamics and Earthquake Engineering ; 27 ; 93-98
04.06.2006
6 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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