Monitoring corrosion of reinforced concrete beams in a chloride containing environment under different loading levels

Corrosion has significant adverse effects on the durability of reinforced concrete (RC) structures, especially those exposed to a marine environment and subjected to mechanical stress, such as bridges, jetties, piers and wharfs. Previous studies have been carried out to investigate the corrosion behaviour of steel rebar in various concrete structures, however, few studies have focused on the corrosion monitoring of RC structures that are subjected to both mechanical stress and environmental effects. This paper presents an exploratory study on the development of corrosion monitoring and detection techniques for RC structures under the combined effects of external loadings and corrosive media. Four RC beams were tested in 3% NaCl solutions under different levels of point loads. Corrosion processes occurring on steel bars under different loads and under alternative wetting - drying cycle conditions were monitored. Electrochemical and microscopic methods were utilised to measure corrosion potentials of steel bars; to monitor galvanic currents flowing between different steel bars in each beam; and to observe corrosion patterns, respectively. The results indicated that steel corrosion in RC beams was affected by local stress. The point load caused the increase of galvanic currents, corrosion rates and corrosion areas. Pitting corrosion was found to be the main form of corrosion on the surface of the steel bars for most of the beams, probably due to the local concentration of chloride ions. In addition, visual observation of the samples confirmed that the localities of corrosion were related to the locations of steel bars in beams. It was also demonstrated that electrochemical devices are useful for the detection of RC beam corrosion.

Specifying model transformations by direct manipulation using concrete visual notations and interactive recommendations

Model transformations are a crucial part of Model-Driven Engineering (MDE) technologies but are usually hard to specify and maintain for many engineers. Most current approaches use meta-model-driven transformation specification via textual scripting languages. These are often hard to specify, understand and maintain. We present a novel approach that instead allows domain experts to discover and specify transformation correspondences using concrete visualizations of example source and target models. From these example model correspondences, complex model transformation implementations are automatically generated. We also introduce a recommender system that helps domain experts and novice users find possible correspondences between large source and target model visualization elements. Correspondences are then specified by directly interacting with suggested recommendations or drag and drop of visual notational elements of source and target visualizations. We have implemented this approach in our prototype tool-set, CONVErT, and applied it to a variety of model transformation examples. Our evaluation of this approach includes a detailed user study of our tool and a quantitative analysis of the recommender system.

Evaluation of the mechanical performance of short concrete column confined with CFRP and GFRP

Concrete has been successfully used to build strong and economic structures. However severe environmental exposures slowly deteriorate concrete strength until complete failure reducing its designed service life. Fiber Reinforced Polymer “FRP” has been recently introduced in the construction industry to strengthen and retrofitting several structural elements including columns. In this research two types of FRP have been used to wrap concrete column in order to increase its capacity; these are Carbon Fiber Reinforced Polymer “CFRP” and Glass Fiber Reinforced Polymer “GFRP”. Twelve short concrete columns have been wrapped with one and two FRP layers including CFRP and GFRP to evaluate their mechanical performance. Mechanical testing has shown that, in general, concrete columns wrapped with FRP produced higher modulus of elasticity compared to the control sample. Results showed that one layer of CFRP have 85.8% increases where as one layer of GFRP showed an increase of 64.5%. Furthermore, two layers of CFRP and GFRP showed 112.5% and 77.2% increase respectively.