The aim of the article is to present an algorithm of Support Vector Machine created to forecast the impact of traffic-induced vibrations on residential buildings. The method is designed to classify the object into one of two classes. The classification into the first class means that there is no impact of vibrations on the building, while classification to the second class indicates the possible influence and suggests the execution of expert studies. Variety of factors affecting impact of vibrations on the structure were taken into account in the algorithm. These factors induce: condition of the road surface, condition of the building, soil type, the distance from the building to the road and type of the vehicle.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-319-64465-3_16
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2018
