Damage quantification in concrete under uniaxial compression using microcomputed tomography and digital volume correlation with consideration of heterogeneity

IF 3.4 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
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引用次数: 0

Abstract

Finite element-based digital volume correlation with mechanical regularization was utilized to measure the deformation fields in a concrete specimen under uniaxial compression based on in-situ (via microcomputed tomography) experiment. Heterogeneous and damage settings were introduced in the mechanical regularization. The mechanical response of the matrix and aggregates was investigated. The three-dimensional morphology of subvoxel microcrack openings was measured, the overall assessment and local depiction of concrete damage were quantified. Subvoxel microcrack openings greater than 0.26 vx were identified. The average maximum principal and average volumetric strains in the matrix were higher than those in the aggregates, and noticeable strain concentrations existed in the interfacial transition zone and pore edges. Microcracks initiated in the macroscopic elastic stage, whereas voxel-level crack openings were observed at 90% of the ultimate load. This study provides experimental support for further revealing the growth process of concrete damage.
利用微计算机断层扫描和数字体积相关技术量化单轴压缩下混凝土的损伤,并考虑异质性
根据现场实验(通过微计算机断层扫描),利用基于有限元的数字体积相关和机械正则化来测量单轴压缩下混凝土试样的变形场。机械正则化中引入了异质和损伤设置。研究了基体和集料的力学响应。测量了亚体细胞微裂缝开口的三维形态,量化了混凝土损伤的整体评估和局部描述。确定了大于 0.26 vx 的亚体细胞微裂缝开口。基体中的平均最大主应变和平均体积应变高于集料中的应变,界面过渡区和孔隙边缘存在明显的应变集中。在宏观弹性阶段出现了微裂缝,而在极限载荷的 90% 时观察到了体素级裂缝开口。这项研究为进一步揭示混凝土损伤的生长过程提供了实验支持。
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来源期刊
Mechanics of Materials
Mechanics of Materials 工程技术-材料科学:综合
CiteScore
7.60
自引率
5.10%
发文量
243
审稿时长
46 days
期刊介绍: Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.
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