Abstract
Prediction of concrete strength is imperative for regular valuation of concrete in-situ quality. To elude destructive testing, it is essential to develop consistent predictive models for evaluating the strength using non-destructive (NDT) testing methods. In this work comparison was done between, compressive strength obtained through experimental process and calculated compressive strength using a rebound hammer (RH). For RH test was done on 16 different mix using 48 cubic concrete samples and later their compressive strength was obtained using destructive testing. Various regression models were projected and statistically checked to predict the correlation between compressive strength and rebound number (RN).
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Acknowledgment
The authors would like to acknowledge the financial assistance in the form of Enhanced Seed Grant through Endowment Fund No. EF/2017-18/QE04-14 from Manipal University Jaipur for procurement of all the necessary materials and testing of the project. The authors also thank Dr. Gaurav A Bhaduri, Mr. Vaibhav Sharma, Mr. Sankalp Gaur, Miss Aprajita Srivastava, Mr. Aditya Lature and Mr. Aneesh Kumar for their active contribution in the project.
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Kashyap, V.S., Sancheti, G., Arora, K., Jain, S., Mahale, K. (2020). Evaluating Compressive Strength of Concrete Comprising Nano Silica and Marble Dust Using Rebound Hammer Test. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_30
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DOI: https://doi.org/10.1007/978-3-030-42363-6_30
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