Article (Périodiques scientifiques)
A Simple Engineering Soil Surface Vibration Prediction Method
MACIJAUSKAS, Darius; VAN BAARS, Stefan
2018In Civil Engineering Research Journal, 4 (2)
 

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Détails



Mots-clés :
Soil vibration; Surface vibrations; Soil dynamics; Oscillating foundations; Vibration prediction
Résumé :
[en] In urban areas where the infrastructure is dense and construction of new structures is near existing and sensitive buildings, frequently vibrations, caused by human activities, occur. Generated waves in the soil may adversely affect surrounding buildings. These vibrations have to be predicted a priori by using currently available knowledge of the soil dynamics. In order to make a good prediction of the soil surface vibration, it is necessary to perform calculations with a Finite Element Method (FEM). The disadvantages of the FEM are that this requires a special software package and a long time for the modelling and calculations. Therefore, it would be very useful to derive a simple model for engineering purposes, which could be used to predict geotechnical vibrations close to the source, without the need of special software and long calculations. Such a method is proposed in this article. This method is validated by a vibration test performed on a peaty site in the Netherlands. The predictions made with this method, have been compared with both the field measurements and the FEM calculations. The comparison proves that by using the presented vibration prediction method, the vibrations can be predicted as accurate as with the FEM.
Disciplines :
Ingénierie civile
Auteur, co-auteur :
MACIJAUSKAS, Darius ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
VAN BAARS, Stefan ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
A Simple Engineering Soil Surface Vibration Prediction Method
Date de publication/diffusion :
mars 2018
Titre du périodique :
Civil Engineering Research Journal
eISSN :
2575-8950
Maison d'édition :
Juniper Publishers, Newbury Park, Etats-Unis - Californie
Volume/Tome :
4
Fascicule/Saison :
2
Focus Area :
Computational Sciences
Disponible sur ORBilu :
depuis le 16 avril 2018

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