Abstract

AbstractDistressed pavements are costly due to frequent maintenance, rehabilitation, and destructive testing. Furthermore, distressed pavements can lead to increased vehicle repair costs, safety concerns, and fatalities. The present study uses the splitting tensile and compressive strengths of 140 cast and core specimens to develop theoretical regression models that can better correlate the indirect splitting tensile and compressive strengths at 28 days for high-strength concrete. The laboratory experiments that were conducted in this study include splitting tensile and compressive strength tests using a universal testing machine. The reliability of the proposed models was verified by comparing their predictive capabilities with the laboratory tests. Statistical regression software was used to analyze the cast and core strength test results and develop regression models. The root mean square error (RMSE) was used to assess the accuracy between the values predicted by the regression models and laboratory values. Existing regression models reported by researchers and institutions were also analyzed with the RMSE method to determine the most accurate model. Based on the analysis, a positive nonlinear correlation between the splitting tensile strength and the compressive strength of high strength concrete was determined. The proposed regression equation exhibits small errors when compared to the laboratory results, which allow for efficient and accurate predictions of the splitting tensile strength.KeywordsSplitting tensile strength relationshipCompressive strength relationshipCore and cast specimen relationship

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