Abstract
Traffic–induced vibrations may constitute a considerable load to buildings. In this paper, vibrations transmitted through the ground caused by wheeled vehicles are considered. This phenomenon may cause cracking of plaster, cracks in load-bearing elements or even, in extreme cases, collapse of the whole structure. Measurements of vibrations of real structures are costly and laborious. Therefore, the aim of the present paper is to propose a method of using Bayesian networks combined with implementation of geoscience for assessment of impact of traffic–induced vibrations on residential buildings. Firstly, the experimental tests were performed on different buildings using specialized equipment taking into account five factors: Distance from the building to the edge of the road, condition of road surface, condition of the building, the absorption of soil and the type of vehicle. Then, probabilistic analyses applying Bayesian networks were conducted and two methods of assessing the information value (EVSI method and entropy method) were compared. Finally, the developed diagnostic–decision support model was tested, so as to verify the most important parameter, affecting the possibility of structural vibrations to occur. The results of the study clearly showed that the use of Bayesian networks was a very effective approach to assess the impact of traffic-induced vibrations. The developed algorithm could be successfully applied both to existing and planned buildings, for which the source of vibration is already present or may appear in the future.
Highlights
Vibrations of buildings may be induced by different types of dynamic excitations
The experimental study was firstly conducted, so as to collect the real data to be used in the Bayesian network created to study the impact of traffic-induced vibrations on residential buildings
Impact of traffic-induced vibrations on residential buildings located near roads was experimentally and probabilistically studied in this paper
Summary
Vibrations of buildings may be induced by different types of dynamic excitations. The most common reasons of such vibrations are related to wind, earthquakes (see, for example, [1,2,3,4]), piling works, large mechanical vibrating entities, jumping of people or vibrations resulting from passing of vehicles and trains [5,6]. The last reason may lead to traffic-induced vibrations of geological structures generating negative effects, both for buildings and residents of buildings subjected to these dynamic excitations [7]. Vibrations caused by road traffic causes noise troublesome for residents. One of them is the use of effective methods of forecasting the impact of traffic-induced vibrations on residential buildings [8]. Experts are very important in the process and their experience and knowledge can be used to provide information that forms the basis for calculation programs and systems
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