2016
DOI: 10.1016/j.jsv.2016.03.007
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Hybrid predictions of railway induced ground vibration using a combination of experimental measurements and numerical modelling

Abstract: Along with the rapid expansion of urban rail networks comes the need for accurate predictions of railway induced vibration levels at grade and in buildings. Current computational methods for making predictions of railway induced ground vibration rely on simplifying modelling assumptions and require detailed parameter inputs, which lead to high levels of uncertainty. It is possible to mitigate against these issues using a combination of field measurements and state-of-the-art numerical methods, known as a hybri… Show more

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Cited by 54 publications
(27 citation statements)
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“…Such hybrid prediction models use the information obtained from measurements to improve the accuracy of numerical models, while at the same time providing the flexibility of numerical models to assess a wide range of rolling stock, track and soil parameters. Kuo et al [142] used such a hybrid empirical-numerical methodology to assess different track arrangements and determine the effect of the installation of mitigation measures within the propagation path for the case of a railway at grade. In a similar concept, Kourousis et al [143] presented an alternative to the FRA method [14] that can be used to assess the effect of localized rail defects and provide ground vibration predictions in the time domain.…”
Section: Semi-empirical Methodsmentioning
confidence: 99%
“…Such hybrid prediction models use the information obtained from measurements to improve the accuracy of numerical models, while at the same time providing the flexibility of numerical models to assess a wide range of rolling stock, track and soil parameters. Kuo et al [142] used such a hybrid empirical-numerical methodology to assess different track arrangements and determine the effect of the installation of mitigation measures within the propagation path for the case of a railway at grade. In a similar concept, Kourousis et al [143] presented an alternative to the FRA method [14] that can be used to assess the effect of localized rail defects and provide ground vibration predictions in the time domain.…”
Section: Semi-empirical Methodsmentioning
confidence: 99%
“…A recent development in predicting railway vibration levels involves the use of hybrid models that combine field measurements with state-of-the-art numerical techniques, thus partially avoiding the need for simplifying modelling assumptions and detailed parameter identification. A hybrid modelling formulation for free field vibrations is described in Kuo et al [11], which uses separate source and propagation terms that can be quantified using either numerical modelling or field measurements. To extend this modelling approach to encompass the entire vehicle-track-soil-building system, a receiver term can be included that characterises the dynamic interaction of a building with railway induced vibrations.…”
Section: Introductionmentioning
confidence: 99%
“…Nielsen et al 16 developed a hybrid model for predicting ground-borne vibrations due to discrete wheel and rail irregularities. Kuo et al 17 used a combination of field measurements and a numerical method to predict railway-induced ground vibrations. Galvı et al 18 proposed a novel 2.5D methodology in which the FE method was combined with a BE method for the prediction of railway induced vibrations.…”
Section: Introductionmentioning
confidence: 99%
“…Kuo et al. 17 used a combination of field measurements and a numerical method to predict railway-induced ground vibrations. Galvı et al.…”
Section: Introductionmentioning
confidence: 99%