Advanced computing applied to nuclear waste storage and low-carbon construction materials

In a collaborative effort to promote environmental sustainability and clean technology in nuclear waste management, Canadian and French research institutions are joining forces. The project focuses on advancing computational models to better understand bentonite clay, which is essential for safely encasing nuclear waste. The Canadian team contributes advanced computer simulation techniques, while the French team adds a cutting-edge mathematical approach to model the flexibility of clay at the nano-scale. By integrating these two approaches, the project aims to significantly improve the design and reliability of nuclear waste containment systems. We will also adapt these advanced computing methods to study cementitious materials, with the long-term goal of enabling low-carbon concrete.

Faculty Supervisor:

Laurent Karim Béland

Student:

Partner:

École des ponts ParisTech

Discipline:

Engineering

Sector:

Education

University:

Queen's University

Program: