TY - JOUR
T1 - Dynamic mechanical properties and fracturing behaviour of concrete under biaxial compression
AU - Wang, Hua Chuan
AU - Zhao, Jian
AU - Li, Jing
AU - Liu, Kai
AU - Braithwaite, Christopher H.
AU - Zhang, Qian-Bing
N1 - Funding Information:
This work was financially supported by the Australian Research Council (Nos. LE150100058, IH150100006 and DE200101293). The first author would like to acknowledge the Monash-China Scholarship Council (CSC) Scholarship (201807090100), and thank Dr. Lie Kong of Monash University for discussion on crack characteristics. The specimens were scanned in the Imaging and Medical beamline (IMBL) at the Australian Synchrotron (Project M14709), and special thanks to Dr. Chris Hall, Dr, Anto Maksimenko and Dr. Daniel Hausermann at Australian Synchrotron for their kind supports.
Funding Information:
This work was financially supported by the Australian Research Council (Nos. LE150100058 , IH150100006 and DE200101293 ). The first author would like to acknowledge the Monash-China Scholarship Council (CSC) Scholarship (201807090100), and thank Dr. Lie Kong of Monash University for discussion on crack characteristics. The specimens were scanned in the Imaging and Medical beamline (IMBL) at the Australian Synchrotron (Project M14709), and special thanks to Dr. Chris Hall, Dr, Anto Maksimenko and Dr. Daniel Hausermann at Australian Synchrotron for their kind supports.
Publisher Copyright:
© 2021 Elsevier Ltd
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/9/27
Y1 - 2021/9/27
N2 - Heterogeneity is an important factor affecting the dynamic mechanical properties and failure process of geomaterials especially when considering the coupled effect of strain rates and confinements. In this research, dynamic biaxial compression tests are conducted on concrete by using a triaxial Hopkinson bar system with different biaxial confinements (i.e., pre-stress σ1 and σ2: 5–30 MPa) and impact velocities (i.e., 14–18 m/s corresponding to strain rates of 80-140 s-1). High-speed three-dimensional digital image correlation (3D-DIC), synchrotron-based micro-computed-tomography (micro-CT) and a machine learning-based crack classification technique are adopted to quantify the dynamic deformation and fracturing properties. Experimental results show that both dynamic strength and peak strain decrease with increasing axial pre-stress σ1, but increase with higher lateral pre-stress σ2 and impact velocity. Fractures generally propagate from the surfaces of the specimen towards the centre along the impact direction, and appear at interfaces and in the matrix first and aggregates afterwards. Real-time surface deformation and post-failure fractures are aggravated with pre-stress σ1 and impact velocity, but restrained by pre-stress σ2. Statistical crack analysis indicates that different crack types (e.g., matrix crack, interfacial crack and transgranular crack) own distinct geometrical characteristics (e.g., orientation distribution, fractal dimension and position distribution) and are affected by the orientation and aspect ratio of aggregate. Moreover, transgranular crack ratio decreases with higher pre-stress σ1, but increases with larger pre-stress σ2 and impact velocity, consistent with variation of total stress and fracture energy, implying the significance of transgranular crack on mechanical properties and fracture energy of heterogeneous geomaterials under dynamic loadings.
AB - Heterogeneity is an important factor affecting the dynamic mechanical properties and failure process of geomaterials especially when considering the coupled effect of strain rates and confinements. In this research, dynamic biaxial compression tests are conducted on concrete by using a triaxial Hopkinson bar system with different biaxial confinements (i.e., pre-stress σ1 and σ2: 5–30 MPa) and impact velocities (i.e., 14–18 m/s corresponding to strain rates of 80-140 s-1). High-speed three-dimensional digital image correlation (3D-DIC), synchrotron-based micro-computed-tomography (micro-CT) and a machine learning-based crack classification technique are adopted to quantify the dynamic deformation and fracturing properties. Experimental results show that both dynamic strength and peak strain decrease with increasing axial pre-stress σ1, but increase with higher lateral pre-stress σ2 and impact velocity. Fractures generally propagate from the surfaces of the specimen towards the centre along the impact direction, and appear at interfaces and in the matrix first and aggregates afterwards. Real-time surface deformation and post-failure fractures are aggravated with pre-stress σ1 and impact velocity, but restrained by pre-stress σ2. Statistical crack analysis indicates that different crack types (e.g., matrix crack, interfacial crack and transgranular crack) own distinct geometrical characteristics (e.g., orientation distribution, fractal dimension and position distribution) and are affected by the orientation and aspect ratio of aggregate. Moreover, transgranular crack ratio decreases with higher pre-stress σ1, but increases with larger pre-stress σ2 and impact velocity, consistent with variation of total stress and fracture energy, implying the significance of transgranular crack on mechanical properties and fracture energy of heterogeneous geomaterials under dynamic loadings.
KW - Biaxial confinement
KW - Concrete
KW - Dynamic failure
KW - Microcrack statistics
KW - Strain rate
UR - https://www.scopus.com/pages/publications/85109075670
U2 - 10.1016/j.conbuildmat.2021.124085
DO - 10.1016/j.conbuildmat.2021.124085
M3 - Article
AN - SCOPUS:85109075670
SN - 0950-0618
VL - 301
JO - Construction and Building Materials
JF - Construction and Building Materials
M1 - 124085
ER -