QUANTITATIVE TECHNIQUES FOR ASSESSING DAMAGE AND THE POTENTIAL OF FURTHER DISTRESS IN CONCRETE AFFECTED BY INTERNAL SWELLING REACTIONS (ISR): AN OVERVIEW

Reference	Presenter	Authors (Institution)	Abstract
04-074	Leandro F M Sanchez	Sanchez, L.F.(University of Ottawa); Regis Junior, W.(Cunha Braga); Terra, M.(University of Ottawa);	Over the past decades researchers have tried to develop protocols to assess the current condition (diagnosis) and the potential for further damage (prognosis) of critical infrastructure. Among promising techniques, particular attention was given to quantitative microscopic (i.e. Damage Rating Index – DRI, Image Analysis- IA) and mechanical test procedures (i.e. Stiffness Damage Test- SDT). Moreover, it has been found that Machine Learning (ML) techniques might also be used for appraising affected concrete. With the aid of modern software and some custom programming, experts could provide some “training” to the computer to automate diagnosis and prognosis evaluations in concrete. This paper provides an overview of the most efficient quantitative microscopic and mechanical protocols used for diagnosing and prognosing critical concrete infrastructure affected by internal swelling reactions (ISR) mechanisms, such as alkali-aggregate reaction (AAR), delayed ettringite formation (DEF) and freezing and thawing cycles (FT). Current gaps and possibilities are emphasized and future perspectives and trends are discussed.
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