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Machine Learning for Traffic Vibration Impact by mahdi fadaei is a document available to read on EtoBox.

What is Machine Learning for Traffic Vibration Impact about?

The document presents a proposed machine learning model utilizing support vector machines (SVM) to predict the impact of traffic-induced vibrations on buildings, aiming to reduce the need for costly and labor-intensive vibration measurements. The model considers various factors such as distance from the road, road surface condition, and vehicle type, and demonstrates high reliability in classifying potential risks to building structures. Experimental studies conducted on multiple buildings support the effec

Author

mahdi fadaei

Language

EN