크기효과를 고려한 순환골재 철근콘크리트보의 전단강도 예측모델 개발

2020 
In this study, a prediction model based on the size effect of reinforced concrete members was established to investigate the shear strength of recycled aggregate reinforced concrete beams. The main variables of the prediction model are the tensile reinforcement ratio, the effective depth of the beam, the beam width, the concrete compressive strength, and the shear span-to-depth ratio. Measurements of 408 normal coarse aggregate concrete beam specimens and 10 recycled coarse aggregate concrete beam specimens were investigated. The means between experimental values and prediction model values of all the test data for α = 100 (normal beam: a/d > 2.5) and α = 103 (deep beam: a/d 2.5) were 1.07 and 1.0, respectively. In addition, the mean for recycled aggregate reinforced concrete beams was 1.06 with the standard deviation of 0.18. This result was used to predict a more accurate value by applying the correction coefficient for the recycled aggregate to the normal concrete shear proposal equation and reflecting the change in shear strength according to the effective depth of the beam. The results of this study indicate that the prediction model was well matched to the experimental data.
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