Prediction of man-made ground vibrations induced by blasting, construction activities, and traffic using artificial intelligence-based models

In this research project, a computational tool will be developed to predict the ground vibration intensities and frequencies during construction activities in urban areas and mining operations. This tool will help minimize the number of vibration monitoring sensors and arrange them properly. It can also reduce the monitoring time significantly. Furthermore, it will help gather the data at unmonitored locations if some points were missed during monitoring. This would be very economical to Terrapex company because it would reduce the monitoring cost significantly. Also, it would help predict vibrations in new sites before the initiation of the construction and blasting operations.

Faculty Supervisor:

Kamran Esmaeili

Student:

Partner:

Terrapex

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program: