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A platform for research: civil engineering, architecture and urbanism
Development of Empirical Relations to Predict Ground Vibrations due to Underground Metro Trains
https://orcid.org/https://orcid.org/0000-0002-5304-9508
https://orcid.org/https://orcid.org/0000-0002-5650-5484
https://orcid.org/https://orcid.org/0000-0001-6722-8956
The vibration caused due to underground metro trains in densely populated urban areas and its adverse effect on the nearby structures and occupants is a growing concern for the policymakers and government bodies, demanding its rapid and correct assessment. Metro bodies in India use Research Designs and Standards Organisation guidelines similar to Federal Transit Administration guidelines for vibration assessment. However, in the guidelines, there is limited discussion on soil geotechnical properties, tunnel depth and axle load, which considerably affect the magnitude of train-induced ground vibration. This study focuses on developing easily comprehendible empirical relations to predict metro train-induced ground vibrations considering the effect of these parameters. Multiple non-linear regression is used to establish the empirical relations utilising the datasets generated from a two-dimensional train-track-tunnel-soil dynamic interaction (TTTSDI) finite element model. The TTTSDI model is based on the two-step methodology available in the literature and is validated with field measurement results of the Delhi metro sites. The developed empirical relations predicted the ground vibrations with maximum and minimum errors of 2.66% and 0.84%, respectively.
Development of Empirical Relations to Predict Ground Vibrations due to Underground Metro Trains
https://orcid.org/https://orcid.org/0000-0002-5304-9508
https://orcid.org/https://orcid.org/0000-0002-5650-5484
https://orcid.org/https://orcid.org/0000-0001-6722-8956
The vibration caused due to underground metro trains in densely populated urban areas and its adverse effect on the nearby structures and occupants is a growing concern for the policymakers and government bodies, demanding its rapid and correct assessment. Metro bodies in India use Research Designs and Standards Organisation guidelines similar to Federal Transit Administration guidelines for vibration assessment. However, in the guidelines, there is limited discussion on soil geotechnical properties, tunnel depth and axle load, which considerably affect the magnitude of train-induced ground vibration. This study focuses on developing easily comprehendible empirical relations to predict metro train-induced ground vibrations considering the effect of these parameters. Multiple non-linear regression is used to establish the empirical relations utilising the datasets generated from a two-dimensional train-track-tunnel-soil dynamic interaction (TTTSDI) finite element model. The TTTSDI model is based on the two-step methodology available in the literature and is validated with field measurement results of the Delhi metro sites. The developed empirical relations predicted the ground vibrations with maximum and minimum errors of 2.66% and 0.84%, respectively.
Development of Empirical Relations to Predict Ground Vibrations due to Underground Metro Trains
https://orcid.org/https://orcid.org/0000-0002-5304-9508
https://orcid.org/https://orcid.org/0000-0002-5650-5484
https://orcid.org/https://orcid.org/0000-0001-6722-8956
The vibration caused due to underground metro trains in densely populated urban areas and its adverse effect on the nearby structures and occupants is a growing concern for the policymakers and government bodies, demanding its rapid and correct assessment. Metro bodies in India use Research Designs and Standards Organisation guidelines similar to Federal Transit Administration guidelines for vibration assessment. However, in the guidelines, there is limited discussion on soil geotechnical properties, tunnel depth and axle load, which considerably affect the magnitude of train-induced ground vibration. This study focuses on developing easily comprehendible empirical relations to predict metro train-induced ground vibrations considering the effect of these parameters. Multiple non-linear regression is used to establish the empirical relations utilising the datasets generated from a two-dimensional train-track-tunnel-soil dynamic interaction (TTTSDI) finite element model. The TTTSDI model is based on the two-step methodology available in the literature and is validated with field measurement results of the Delhi metro sites. The developed empirical relations predicted the ground vibrations with maximum and minimum errors of 2.66% and 0.84%, respectively.
Development of Empirical Relations to Predict Ground Vibrations due to Underground Metro Trains
KSCE J Civ Eng
Kedia, Naveen Kumar (author) / Kumar, Anil (author) / Singh, Yogendra (author)
KSCE Journal of Civil Engineering ; 27 ; 251-260
2023-01-01
10 pages
Article (Journal)
Electronic Resource
English
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