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Application of image processing and finite element analysis in modeling chloride diffusion in concrete.

机译:图像处理和有限元分析在混凝土中氯离子扩散模拟中的应用。

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摘要

Utilizing numerical simulation models to predict the long-term mechanical and transport behavior of concrete structures is becoming increasingly popular. The majority of these models have been developed using laboratory test data that consider concrete as a homogeneous material with spherical aggregates. These models could not be a represented of real concrete because it has no primitive shaped aggregate besides that the porosity size and distribution varies from point to point. In this study a novel method for more accurate prediction of the chloride diffusion in concrete was developed. A general framework of the quantitative computed tomography (QCT) and finite element analysis was used to construct 3D images of concrete cylinders. A computer code was developed using Matlab to analyze images and to measure the amount and distribution of coarse aggregates and voids in the concrete cylinders. The rapid performance and independency from personnel, as well as the capability of inspecting the internal structure and possible damages within the cylinders, make this method very applicable for quality control and quality assurance applications as well as for forensic investigations. During this study, it was realized that the shape and distribution of aggregates as well as Interfacial Transition Zones (ITZs) have significant impact on the chloride diffusion into the concrete. Therefore, it was imperative to construct a predictive model which was closer to reality, considering the distribution of aggregate particles (coarse and fine), voids, and ITZs (around both coarse and fine aggregates). Thus, a numerical method for the prediction of the chloride penetration into concrete was developed using a scanned copy of the concrete internal structure. The results obtained from this study showed that, QCT along with image analysis techniques used to study the air void content and distribution as well as coarse aggregate content in concrete in 3D had a good agreement with the microscopic analysis. The major advantage of QCT technique is much short time required for analysis with the QCT method compared to that with the conventional microscopic studies. The result from the chloride diffusion in concrete showed that chloride concentration gradient when ITZ is considered around aggregates is much higher compared to that in concrete without considering the ITZ. The positions and shapes of the coarse aggregates can also affect the diffusion process and the chloride ion diffusivity. The experimental and simulation results indicated that closer aggregates to the steel bar can increase the rate of the chloride diffusion as well as the rate of corrosion.
机译:利用数值模拟模型来预测混凝土结构的长期机械性能和运输性能变得越来越普遍。这些模型中的大多数都是使用实验室测试数据开发的,这些数据将混凝土视为具有球形骨料的均质材料。这些模型不能代表真实的混凝土,因为它没有原始形状的聚集体,除了孔隙大小和分布随点而异。在这项研究中,开发了一种用于更准确地预测混凝土中氯离子扩散的新方法。定量计算机断层扫描(QCT)和有限元分析的通用框架用于构造混凝土圆柱体的3D图像。使用Matlab开发了计算机代码,以分析图像并测量混凝土圆柱体中粗骨料和空隙的数量和分布。这种快速的性能和人员独立性,以及检查内部结构和气缸内可能损坏的能力,使得该方法非常适用于质量控制和质量保证应用以及法医调查。在这项研究中,我们认识到骨料的形状和分布以及界面过渡区(ITZ)对氯化物向混凝土中的扩散有重要影响。因此,必须考虑到骨料颗粒(粗粒和细粒),空隙和ITZ(围绕粗粒和细粒骨料)的分布,构建更接近实际的预测模型。因此,使用混凝土内部结构的扫描副本,开发了一种预测氯离子渗入混凝土的数值方法。从这项研究获得的结果表明,QCT以及用于分析3D混凝土中的气孔含量和分布以及粗骨料含量的图像分析技术与微观分析具有很好的一致性。与常规显微镜研究相比,QCT技术的主要优势是使用QCT方法进行分析所需的时间短得多。氯化物在混凝土中扩散的结果表明,与不考虑ITZ的混凝土相比,在集料周围考虑ITZ时的氯化物浓度梯度要高得多。粗骨料的位置和形状也会影响扩散过程和氯离子扩散率。实验和模拟结果表明,更接近骨料的钢筋可以增加氯化物的扩散速率以及腐蚀速率。

著录项

  • 作者

    Razmjoo, Arash.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 118 p.
  • 总页数 118
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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