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Non-destructive and destructive bridge deck condition assessment.

机译：非破坏性和破坏性桥面状况评估。

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摘要

The dissertation is composed of three papers, which cover the lack of information on the specific aspects of non-destructive and destructive bridge deck assessment.;In the first paper, appropriate data acquisition and processing parameters for concrete bridge deck condition assessment using ground-coupled ground penetrating radar are developed. The use of proposed parameters helps to significantly reduce acquisition and processing time, while providing engineers with reliable and detailed information on the condition of bridge deck.;In the second paper, a novel approach to develop relationship between GPR data and concrete removal depth measurements collected after hydrodemolition is proposed. A linear relationship between the two is assumed, justified and corrected. Two case studies are used to verify the proposed approach.;In the third paper, an integrated approach in assessing bridge deck condition is introduced. Four techniques -- visual inspection, GPR, USW, and core control -- were used to perform a bridge deck assessment. LiDAR measurement of concrete depth removal collected after hydrodemolition were used as ground truth. The advantages and disadvantages of each method are discussed. Qualitative and quantitative comparisons of data collected using non-destructive and destructive techniques are performed.
机译：论文由三篇论文组成，涵盖了有关无损和无损桥面评估的具体方面的信息。；第一篇论文中，采用地面耦合的混凝土桥面状态评估的适当数据采集和处理参数开发了探地雷达。建议参数的使用有助于显着减少采集和处理时间，同时为工程师提供有关桥面状况的可靠而详细的信息。;第二篇论文，提出了一种新的方法来开发GPR数据与收集的混凝土清除深度测量值之间的关系建议加氢分解后进行。假定，证明和校正了两者之间的线性关系。通过两个案例研究来验证所提出的方法。第三篇论文介绍了一种综合方法来评估桥面状况。四种技术-视觉检查，GPR，USW和岩心控制-用于执行桥面评估。加氢拆除后收集的混凝土深度去除的LiDAR测量用作地面信息。讨论了每种方法的优缺点。使用非破坏性和破坏性技术对数据进行定性和定量比较。

著录项

  • 作者

    Varnavina, Aleksandra Vyacheslavovna.;

  • 作者单位

    Missouri University of Science and Technology.;

  • 授予单位 Missouri University of Science and Technology.;
  • 学科 Geological engineering.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 91 p.
  • 总页数 91
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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