Portfolios

Led a multi-phase corrosion assessment using electrochemical methods to evaluate localized corrosion and cracking susceptibility of alloys exposed to high-temperature, saturated chloride environments. Findings support risk-informed material selection and fabrication practices for industrial infrastructure.

Evaluated the overall performance of commercial concrete liners under simulated exposure conditions. The study aimed to identify optimal protective solutions for reinforced concrete in potash operations.

Investigated the cathodic polarization behaviour and corrosivity of carbon steel in process-specific potash environments using electrochemical methods. Delivered actionable data for optimizing cathodic protection design and corrosion mitigation.

Practical evaluation of frost damage and alkali-silica reactions in Saskatchewan sidewalks, leading to targeted mix design strategies that improve concrete durability using locally sourced, low-quality aggregates.

The non-destructive test method developed in this study can be used to assess the quality of a newly installed membrane system or to determine the membrane condition at various points during its service life with the intent of optimizing maintenance interventions.

This project delivers a modular, software-based solution for probabilistic life-cycle deterioration modelling of RC structures focus on corrosion damage. It enables asset owners to assess current condition and predict future performance using field data, optimizing maintenance schedules and extending service life.

Delivered galvanic cathodic protection installation and performance validation through embedded zinc anode systems, sensor-based monitoring, and modelling—enabling data-informed durability solutions for historic bridge infrastructure.

Service life assessment of a historic concrete grain terminal using targeted sensor deployment and carbonation modelling to support evidence-based maintenance decisions and avoid unnecessary rehabilitation.

Advanced condition assessment and predictive modelling for the Petrofka Bridge, supporting data-driven rehabilitation planning using embedded sensors and probabilistic chloride ingress forecasting.

A comprehensive engineering assessment of Saskatoon’s historic University Bridge to support long-term rehabilitation decisions, including field testing, corrosion modelling, and strategy evaluation for optimized durability and cost-effectiveness.