基于图像统计的带预制缺陷混凝土破坏机理
作者:
作者单位:

1.山东大学 岩土与结构工程研究中心,山东 济南 250061;2.山东大学 齐鲁交通学院,山东 济南 250002;3.石家庄铁道大学 大型结构健康诊断与控制研究所,河北 石家庄 050043;4.西南交通大学 交通隧道工程教育部重点实验室,四川 成都 610031

作者简介:

孙浩凯(1996—),男,河北衡水人,山东大学博士生.E-mail:sunhaokai_hebei@163.com

通讯作者:

高 阳(1984—),男,山东泰安人,石家庄铁道大学副教授,硕士生导师,博士. E-mail:gaoyang_ng_sjz@163.com

中图分类号:

TU43

基金项目:

国家自然科学基金资助项目(51608336);河北省自然科学基金资助项目(E2021210032);西藏科技计划项目(XZ201801-GB-07)


Failure Mechanism of Precast Defective Concrete Based on Image Statistics
Author:
Affiliation:

1.Geotechnical and Structural Engineering Research Center, Shandong University, Jinan 250061, China;2.School of Qilu Transportation, Shandong University, Jinan 250002, China;3.Structure Health Monitoring and Control Institute, Shijiazhuang Tiedao University, Shijiazhuang 050043, China;4.Key Laboratory of Transportation Tunnel Engineering of Ministry of Education, Southwest Jiaotong University, Chengdu 610031, China

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan)

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    摘要:

    采用计算机断层扫描(CT)、声发射(AE)和数字图像处理(DIP)的建模方法,对含聚苯乙烯泡沫(EPS)颗粒的预制缺陷混凝土单轴加载破坏过程进行研究,分析了内部缺陷对裂缝扩展的影响,揭示裂缝扩展机理,并提出了缺陷混凝土结构细观建模方法.结果表明:裂缝首先出现在混凝土角部及距外部较近的宏观缺陷处,劈裂型裂缝对承载力影响严重,张开型裂缝多出现在水平投影最大的宏观缺陷处;通过CT扫描证实了采用聚苯乙烯泡沫颗粒预制缺陷方法的合理性,建立的模型能够准确描述缺陷混凝土的力学行为,验证了细观模拟与力学试验的一致性.

    Abstract:

    The uniaxial loading failure process of precast defective concrete containing expanded polystyrene(EPS) particles was investigated by computed tomography(CT), acoustic emission(AE) and digital image processing(DIP) modeling methods. The mechanism of internal defects on crack propagation was revealed by practical mesoscopic modeling methods. The results show that the cracks appear at the corner initially and the defect closer to the outside of the concrete. The bearing capacity is seriously affected by split-type cracks. The open cracks often appear at the largest macroscopic defect in the horizontal projection. The rationality of using expanded polystyrene particles as prefabricated defects in the concrete is confirmed by CT scan. The established model can accurately describe the mechanical behavior, which verifies the consistency of meso-simulation and mechanical experiment.

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引用本文

孙浩凯,高阳,郑新雨,陈一铂.基于图像统计的带预制缺陷混凝土破坏机理[J].建筑材料学报,2021,24(6):1154-1162

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  • 收稿日期:2020-08-19
  • 最后修改日期:2020-10-10
  • 录用日期:2020-11-02
  • 在线发布日期: 2021-12-28
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