Prediction on damage evolution of recycled crumb rubber concrete using quantitative cloud imagine correlation

摘要

To account for the improvement of mechanical properties for recycled crumb rubber concrete (RCRC) under uniaxial compression and flexural toughness test in detail, three groups of RCRC specimen covering contents of rubber aggregate from 10 percent to 30 percent and one group of normal concrete (NC) specimen were prepared. Experimental results present distinguished influence of rubber particle content on uniaxial compressive strength and failure mode. Then, improvement in toughness properties was displayed inherently through change of the index named ratio of flexural strength to compressive one (121,). Simultaneously, a mesoscopic numerical model on random aggregate of RCRC was built up and validated by comparison of results from damage simulating to in-door testing. Furthermore, the mechanism of ductility enhancement for RCRC is unveiled visually and the prediction on damage evolution is revealed in quantitative way by a novel methodology of quantitative cloud imagine correlation (QCIC) based on 2D analysis. Subsequently, the similar law is established by a 3D Extended QCIC named volumetric damage accumulation method (VDAM). Therefore, it put forward a step further from state-ofthe-art research about mechanical properties of RCRC, which may promote the utility of optimal design for this ecological material in civil engineering. (C) 2019 Elsevier Ltd. All rights reserved.