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Prediction of Residual Flexural Strength of Reinforced Concrete Beams and Slabs
Many of the built RC structures get severely affected by corrosion of embedded steel, the process which causes deterioration in embedded steel as well as in surrounding concrete. This deterioration causes substantial reduction off flexural strength of existing RC beams and slabs, if not timely intervened. Determining the reduction of the amount of appropriate flexural strength to arrive at the residual flexural strength of corrosion-damaged RC beams and slabs has been a great research challenge, for which prediction, there are various kinds of models available in the literature. In the present study, an effort has been made to intensely study the models existing in the literature which have been derived based upon the research studies conducted by different researchers to predict the residual flexural strength of the RC beams and slabs at different levels of corrosion of embedded reinforcement. In these research studies, the analytical variables included rebar diameter, level of corrosion, quality and thickness of concrete cover, member dimensions, etc. The validation of different existing models has been performed not only by the experimental data generated out of a particular research study but also with the experimental data of existing research studies developed by other researchers. The approach of various researchers in development of their respective model has been described. Attempts have been made to compare the results of a few of the developed prediction models with those from the results from a number of existing experimental results. Efforts have been made to predict the residual strength of the beams and slabs of an existing RC-framed structure according to the most appropriate model arrived at by the analysis of the results outcome.
Prediction of Residual Flexural Strength of Reinforced Concrete Beams and Slabs
Many of the built RC structures get severely affected by corrosion of embedded steel, the process which causes deterioration in embedded steel as well as in surrounding concrete. This deterioration causes substantial reduction off flexural strength of existing RC beams and slabs, if not timely intervened. Determining the reduction of the amount of appropriate flexural strength to arrive at the residual flexural strength of corrosion-damaged RC beams and slabs has been a great research challenge, for which prediction, there are various kinds of models available in the literature. In the present study, an effort has been made to intensely study the models existing in the literature which have been derived based upon the research studies conducted by different researchers to predict the residual flexural strength of the RC beams and slabs at different levels of corrosion of embedded reinforcement. In these research studies, the analytical variables included rebar diameter, level of corrosion, quality and thickness of concrete cover, member dimensions, etc. The validation of different existing models has been performed not only by the experimental data generated out of a particular research study but also with the experimental data of existing research studies developed by other researchers. The approach of various researchers in development of their respective model has been described. Attempts have been made to compare the results of a few of the developed prediction models with those from the results from a number of existing experimental results. Efforts have been made to predict the residual strength of the beams and slabs of an existing RC-framed structure according to the most appropriate model arrived at by the analysis of the results outcome.
Prediction of Residual Flexural Strength of Reinforced Concrete Beams and Slabs
Lecture Notes in Civil Engineering
Hau, Kong Kian (editor) / Gupta, Ashok Kumar (editor) / Chaudhary, Sandeep (editor) / Gupta, Tanmay (editor) / Garg, Chetan (author) / Arora, Harish Chandra (author)
Recent Advances in Structural Engineering and Construction Management ; Chapter: 34 ; 431-446
2022-09-28
16 pages
Article/Chapter (Book)
Electronic Resource
English
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