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The Idea of Using Bayesian Networks in Forecasting Impact of Traffic-Induced Vibrations Transmitted through the Ground on Residential Buildings
Abstrakt
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 have been 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 have been conducted and two methods of assessing the information value (EVSI method and entropy method) have been compared. Finally, developed diagnostic-decision support model has been tested, so as to verify the most important parameter, affecting the possibility of structural vibrations to occur. The results of the study clearly show that the use of Bayesian Networks is a very effective approach to assess impact of traffic-induced vibrations. The developed algorithm can be successfully applied both to existing and planned buildings, for which the source of vibration is already present or may appear in the future.
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- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/geosciences9080339
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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Geosciences
nr 9,
ISSN: - Język:
- angielski
- Rok wydania:
- 2019
- Opis bibliograficzny:
- Siemaszko A., Jakubczyk-Gałczyńska A., Jankowski R.: The Idea of Using Bayesian Networks in Forecasting Impact of Traffic-Induced Vibrations Transmitted through the Ground on Residential Buildings// Geosciences -Vol. 9,iss. 8 (2019), s.339-
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/geosciences9080339
- Źródła finansowania:
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- Publikacja bezkosztowa
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 184 razy