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BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2024, Vol. 43 ›› Issue (2): 448-455.

Special Issue: 水泥混凝土

• Cement and Concrete • Previous Articles     Next Articles

Prediction Model of Impact Splitting Tensile Strength of Concrete after Freeze-Thaw Cycle

XU Ye1,2, TAO Junlin1,2, LI Hongxiang1   

  1. 1. School of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang 621010, China;
    2. Shock and Vibration of Engineering Materials and Structures Key Lab of Sichuan Province, Mianyang 621010, China
  • Received:2023-09-11 Revised:2023-10-18 Online:2024-02-15 Published:2024-02-05

Abstract: In order to predict the impact splitting tensile strength of concrete materials after freeze-thaw cycle, this paper conducted 0, 25, 50, 75 and 100 times freeze-thaw cycle tests on the concrete standard freeze-thaw specimens and the concrete splitting tensile specimens, and tested the dynamic elastic modulus of the concrete standard freeze-thaw specimens through the dynamometer. Electro-hydraulic servo universal testing machine and split Hopkinson pressure bar system were used to perform splitting tensile tests at 0.5, 0.5×106, 1.0×106 and 2.0×106 kN/s, respectively. The effects of freeze-thaw damage and force loading rate on impact splitting tensile strength of concrete were analyzed. The results show that the apparent condition, mass and relative dynamic elastic modulus of standard freeze-thaw specimens deteriorate continuously with the increase of freeze-thaw times. When the freeze-thaw times are constant, the impact splitting tensile strength of concrete specimens increases with the increase of force loading rate. On the basis of the above tests, a prediction model of impact splitting tensile strength of concrete after freeze-thaw cycle is established, which can provide a theoretical basis for the prediction of impact splitting tensile strength of concrete after freeze-thaw cycle.

Key words: concrete, freeze-thaw cycle, impact splitting tensile strength, relative dynamic elastic modulus, Hopkinson pressure bar system, prediction model

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