Development of mathematical models/applied AI for estimation of compressive strength of concrete using non-destructive testing methods

The proposed project aims to apply artificial intelligence methods to augment in-place non-destructive testing technologies in order to reduce or eliminate the need for intrusive methods (i.e. concrete core extraction) for concrete strength estimation. The proposed approach is based on the SonReb method, which combines two non-destructive testing technologies, namely ultrasonic pulse velocity and rebound […]

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Advanced non-destructive testing solutions for mass concrete and deepfoundations

This project aims to develop an improved methodology for condition assessment of mass concrete structures and deep foundations using customized NDT solutions and an integrated approach. The project builds on recent advances developed by the project partner (FPrimeC Solutions) and the academic research group (uOttawa) for next-generation NDT products and services. Assessing the condition of […]

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Condition assessment of infrastructure facilities using combined image processing and sensing technologies

As Canada’s infrastructure grow older every year, the inspection and maintenance of these capital intensive assets becomes more challenging. Most deterioration mechanism occur over a long period of time. Certain defects remain unnoticed during regular inspection until it is too late. Unfortunately, delayed diagnosis of defects can significantly increase the annual cost of maintenance. Inspectors […]

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