Current Projects

ThisIn this project, multifunctional concrete will be developed with integrated energy harvesting capabilities and advanced electromechanical shielding properties. Quantum dots, piezoelectric materials, and metamaterials will be embedded into concrete composites, allowing ambient energy to be harnessed for self-sustaining systems, such as Smart Cathodic Protection and embedded sensors. The concrete will also be engineered to enhance protection against electromagnetic interference, improving both the durability and functionality of the structures. The outcomes of this research will provide a transformative approach to infrastructure design, offering wide-ranging applications in both remote and urban environments.

This research investigates wave-induced load resilience of concrete bridges in salt-corrosion environments. It proposes a methodology to estimate losses in deteriorating RC structures using quantitative analysis. By considering chloride erosion, extreme wave-induced loads, and a deteriorating reinforcement model, the study assesses structural resilience. Simulating post-wave-induced loads with the inverse-first order reliability method (I-FORM) and a time-varying function, it validates the research method's applicability through a concrete bridge model. 

Using image processing and deep machine learning techniques, such as convolutional neural networks, the objective of this research proposal is to produce a model that estimates the residual flexural strength of RC beams through entering geometrical input parameters and its crack pattern images. The input parameters to train the model include concrete unit weight, compressive strength, beam size, reinforcement configuration, and crack pattern (using image processing) for different loadings (the current load and residual strength).