Pipe replacement and rehabilitation optimization method

The research project will develop a pipe replacement and rehabilitation optimization method. The research group is currently developing machine learning models to predict future water main failure. Data has been collected from 13 cities across Canada and represent different conditions and settings. This data is already being cleaned and analysed by a team of graduate students. This project will focus on one specific city as a case study to develop an optimization method. This method will build upon the predictive models being developed and will establish a risk framework for replacement and rehabilitation prioritization, accounting for economic, social and environmental impacts.

Faculty Supervisor:

Rebecca Dziedzic

Student:

Partner:

University of Pavia

Discipline:

Engineering

Sector:

Education

University:

Concordia University

Program: