材料科学与技术

基于 CT 图像的再生混凝土内部微变形演化分析

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  • 1. 武汉大学 土木建筑工程学院,湖北 武汉 430072; 2. 湖北工程学院 土木工程学院,湖北 孝感 432000; 3. 西京学院 陕西省混凝土结构安全与耐久性实验室,陕西 西安 710123
韩燕华( 1978-) ,女,博士生,主要从事混凝土热力学性能研究

收稿日期: 2018-12-03

  修回日期: 2019-01-03

  网络出版日期: 2019-04-01

基金资助

 国家自然科学基金资助项目( 51579194) ;湖北省教育厅科学技术研究项目( B2018165) 

Internal Micro-Deformation Analysis of Recycled Aggregate Concrete Based on CT Images

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  •  1. School of Civil Engineering,Wuhan University,Wuhan 430072,Hubei,China; 2. School of Civil Engineering, Hubei Engineering University,Xiaogan 432000,Hubei,China; 3. Shaanxi Key Laboratory of Safety and Durability of Concrete Structures,Xijing University,Xi'an 710123,Shaanxi,China
韩燕华( 1978-) ,女,博士生,主要从事混凝土热力学性能研究

Received date: 2018-12-03

  Revised date: 2019-01-03

  Online published: 2019-04-01

Supported by

 Supported by the National Natural Science Foundation of China( 51579194) 

摘要

为研究早龄期再生混凝土试件在单轴受压破坏过程中内部结构的变形,采用 X 射线工业 CT 对再生混凝土试件在不同轴向荷载下的内部结构变化进行扫描观测,获得 了再生粗骨料取代率分别为0、 30%、 50%的混凝土试件的 CT 图像. 以 CT 图像中不同的 灰度分布特征作为散斑结构,并将施加荷载前后的 CT 图像作为试件变形信息的载体,应 用 MatchID 算法获得再生混凝土试件内部的实时位移场与应变场. 变形云图直观揭示了 试件在受压过程中内部微变形的演化发展过程,分析可知: 相同加载条件下,试件内部变 形量与再生粗骨料取代率呈正相关;随着轴向荷载增大,再生骨料取代率相同的试件其内 部变形局部化特征趋于显著. 文中采用的 CT 图像与 MatchID 算法相结合的方法为再生混 凝土内部微变形的研究提供了新思路

本文引用格式

韩燕华 谢作为 刘方 傅少君 . 基于 CT 图像的再生混凝土内部微变形演化分析[J]. 华南理工大学学报(自然科学版), 2019 , 47(5) : 73 -80 . DOI: 10.12141/j.issn.1000-565X.180599

Abstract

In order to study the internal deformation of the early-age recycled aggregate concrete in the process of uniaxial compression,recycled concrete specimens under different axial loads,which respectively possesses the recycled coarse aggregate replacement rates of 0,30% and 50%,were scanned by means of Xray industrial computed tomography ( CT) . Then,by taking the grayscale distribution in CT images as a speckle pattern and the CT images captured before and after the loading as the carrier of deformation information of the specimens,the internal realtime displacement fields and strain fields of the recycled concrete specimens were obtained via MatchID, and the corresponding deformation contours were drawn to visually reveal the evolution of the internal micro-deformation of recycled concrete specimens in the compression process. It can be shown that there is a positive correlation between the internal deformation of the specimens and the replacement rate of recycled coarse aggregate under the same loading conditions,and that the localization deformation characteristics of specimens with the same recycled coarse aggregate replacement rate become obvious with the increase of axial load. The proposed method combining CT images and MatchID algorithm provides a new approach to exploring the micro-deformation of recycled aggregate concrete. 

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