GROUND VIBRATION GENERATED BY THE PASSING OF A TRUCK ON A SPEED BUMP


Abstract eng:
The growing levels of traffic in urban areas is becoming an increasingly important environmental issue in modern and developing countries. As a heavy vehicle travels over an uneven road surface a complex dynamic interaction occurs which induces dynamic loads into the ground. The generated ground vibrations propagate outwards and can lead to discomfort and / or damage to nearby bystanders and structures. The research presented in this paper is focused on the development of a two-step numerical model to estimate the ground vibrations generated from a heavy vehicle travelling over a speed bump (or geometric obstacle). The first step employs a multibody system to model the heavy vehicle and simulate the dynamic interaction between the vehicle and the geometric obstacle, while the second step makes use of the finite element method to simulate the propagation of ground vibrations. The multibody model is used to produce a time-history of the dynamic loads (i.e. contact forces) generated at the tyre-pavement interface, which is then input into the finite element ground model. Validation of the approach is undertaken through a comparison with well-established experimental results. The influence of various parameters, such as vehicle speed and geometric properties of the obstacle, were investigated through a sensitivity analysis. The resulting model is flexible and can be used to evaluate numerous vehicle-obstacle combinations on the ground vibrations generated.

Contributors:
Publisher:
National Technical University of Athens, 2017
Conference Title:
Conference Title:
COMPDYN 2017 - 6th International Thematic Conference
Conference Venue:
Rhodes Island (GR)
Conference Dates:
2017-06-15 / 2017-06-17
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.



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 Record created 2017-06-22, last modified 2017-06-22


Original version of the author's contribution as presented on CD, section: [MS21] Ground-borne noise and vibrations due to traffic: prediction and mitigation .:
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