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BULLETIN OF THE CHINESE CERAMIC SOCIETY ›› 2023, Vol. 42 ›› Issue (12): 4233-4241.

• Cement and Concrete • Previous Articles     Next Articles

Study on Compressive Mechanical Properties of Carbon Nanotube Cement-Based Materials Based on Acoustic Emission and DIC

LEI Longjian1, HAO Yong1, YUAN Man1, DU Guofeng1, YUAN Hongqiang1, ZUO Qingjun2   

  1. 1. School of Urban Construction, Yangtze University, Jingzhou 434023, China;
    2. Hubei Key Laboratory of Disaster Prevention and Mitigation, China Three Gorges University, Yichang 443002, China
  • Received:2023-07-11 Revised:2023-08-25 Online:2023-12-15 Published:2023-12-12

Abstract: In order to study the influences of carbon nanotubes (CNTs) on compressive mechanical properties of cement-based materials, uniaxial compressive test was conducted on cement-based materials with different of CNTs content (0%~1.0%, mass fraction), and acoustic emission (AE) and digital image correlation method (DIC) were used for whole process monitoring. The results show that with the addition amount of CNTs, the compressive strength of specimen increases first and then decreases. The compressive strength of specimen reaches the maximum value when the content is 0.6%, which is 23.6% higher than that of control group. When the content of CNTs is 0.8%, the compressive strength of specimen is 10.6% lower than 0.6% CNTs group and 10.5% higher than that of control group. The ringing count and energy change are in good agreement with stress-strain curve of specimen during loading. The ringing count and energy sudden increase can be used as early warning basis for the damage and failure of specimen. The strain value in loading stage increases first and then decreases with the increase of CNTs content, and the specimen with low compressive strength first shows obvious strain changes. The main strain cloud diagram is mainly axial distribution, indicating that the failure mode of specimen surface is mainly vertical splitting.

Key words: carbon nanotube, cement-based material, acoustic emission, digital image correlation method, damage monitoring

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