Study on the CT Real-Time Scanning Tests and Deterioration Evolution Process of Recycled Concrete

Abstract:

Based on CT imaging theory and self-designed loading device, the CT real-time scanning test on recycled concrete under uniaxial static compression has been accomplished, which can be used to specifically study the whole process about microcrack initiation, perforation, coalescence and macrocrack generation in meso-scale. By real-time CT scanning of cylinder recycled concrete specimen, the propagation process of the internal cracks can be effectively tracked during the whole loading process. By extracting and analyzing the CT numbers of CT images under different loading period, the relational expression between CT numbers and deterioration variable was established, which can better reflect the effect of mixing amount of recycled coarse aggregate on deterioration degree of recycled concrete. The results showed that with the increasing mixing amount of recycled coarse aggregate, the deterioration degree of the specimens increased slightly yet uniaxial compression strength of the specimens decreased slightly.

• Periodical: Applied Mechanics and Materials (Volumes 50-51)
• Pages: 1019-1023
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.50-51.1019
• Online since: February 2011
• Authors: Ai Jiu Chen, Qing Zhang, Jing Wang, Zhan Fang Ge
• Keywords: CT Numbers, Deterioration, Recycled Concrete (RC)

References

[1] Oral Buyukozturk. Imaging of concrete structures[J]. NDT&E International, 1998, 31(4): 233-243.

[2] Dang Faning，Yin Xiaotao，Ding Weihua，Chen Houqun. Breakage mechanism of sandstone based on uniaxial compression CT test [J]. Chinese Journal of Rock Mechanics and Engineering, 2005, 24(22): 4003-4009.

[3] Chen Houqun, Ding Weihua, Pu Yibin. Real time observation on meso fracture process of concrete using X-ray CT under uniaxial compressive condition[J]. Journal of Hydraulic Engineering, 2006, 37(9): 1044-1050.

[4] Li Fen, Li Zhida, Gong Junan, Zhao Xianpeng. Research on Micro-Structure Evolution of Asphalt Mixture Based on Estimation of Fractal Demensions of CT Image [J]. Natural Science Journal of Xiangtan University， 2006 ，28(2)：52-55.