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The University Network of Excellence in Nuclear Engineering
(UNENE) in partnership
with the Natural Sciences and Engineering Research Council
(NSERC) has established an
Industrial Research Chair (IRC) in Risk-Based Life Cycle Management
of Engineering Systems at the
University of Waterloo. The research program,
currently in it's second five year term, is chaired by
Dr. Mahesh Pandey in the Department of Civil
and Environmental Engineering. The chair program is one of the
seven university professorships established by UNENE in Ontario.
Through the Research Excellence program of the Ontario
Research Fund (ORF), the McGuinty government has
invested $1.4 million to support the research program at the
University of Waterloo. Read the press release from
the Ontario Ministry of Research and Innovation (MRI).
Chair Objectives
The economic life cycle management of nuclear assets is a critical area of research for
maintaining Canada's leading role in the development and application of nuclear
technology. The research program is intended to enhance existing risk assessment and
life cycle management capabilities and to provide industry with practical solutions for
improving plant efficiency. The program will also create a pool of highly skilled scientists
and engineers to satisfy the industry's demand for workforce renewal.
The long-term objectives of the research program are to:
- advance the fundamental understanding of the probabilistic risk analysis
techniques that are relevant to estimating reliability and maintaining life of
safety-critical structures that affect plant service life;
- develop methods, tools, and models for optimizing inspection, rehabilitation
and replacement strategies that would result in economic life cycle performance
and adequate safety of engineering systems;
- develop principles of mechanics, material modelling, and computational methods
relevant to quantitative risk assessment of large engineering systems; and
- develop a general, plant-level risk management model that integrates engineering
risk analysis with financial and operational risk management issues.
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