Current PROJECTS

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).

In this study, the application of bamboo bars as tensile reinforcement in sulfur concrete beams as shear reinforcement is investigated. Tensile strength and density of bamboo bars are approximately 38% and only 9.5% of those properties of A36 mild steel, respectively. 

This paper presents a chronological literature review of investigations and applications on different types of eco-friendly materials in repair of reinforced concrete members.