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首页> 外文学位 >Damage identification, progression, and condition rating of bridge decks using multi-modal non-destructive testing.
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Damage identification, progression, and condition rating of bridge decks using multi-modal non-destructive testing.

机译：使用多模式无损检测的桥梁甲板损伤识别，发展和状况评估。

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摘要

Bridges are an important part of the nation's infrastructure and due to the limited budgets available to keep them properly maintained, the methods of evaluation and damage identification must improve in accuracy and cost-effectiveness. For the industry of bridge evaluation and damage identification the research area that provides the greatest potential is multi-modal non-destructive testing (NDT). A multi-modal NDT approach to condition assessment allows for the identification of several different deterioration states, in turn providing a more complete condition assessment. Research was conducted to develop a methodology and program to convert multi-modal NDT data from bare reinforced concrete bridge decks into a condition-based assessment. The NDT methods utilized were electrical resistivity (ER), half-cell potential (HCP), ground penetrating radar (GPR), impact echo (IE), and chain drag (CD). Data for each of these methods was collected on 12 bridge decks located in various geographic locations. Correlations were identified between the NDT methods so as to better understand the relationship between the methods and concrete deterioration. Some of the identified correlations include a strong association of low cover depth with deterioration, ER and HCP measurements being highly related, and GPR attenuation associated with locations of deterioration identify by ER, HCP, and CD. The identified correlations were used to develop a statistics-based approach to threshold identification for ER, HCP, and GPR. Threshold values are highly relative; therefore, a statistical approach provides a more effective and robust threshold identification methodology. Using the identified thresholds, the multi-modal NDT data was fused and converted into a deterioration-based condition assessment that identifies locations of corrosive environment, active corrosion, delamination/lateral cracking, and severe delamination. The condition assessment program also rates the bridge decks using established and federally mandated rating systems created by the National Bridge Inventory and American Association of State Highway and Transportation Officials. This research resulted in a more effective multi-modal NDT condition assessment of bridge decks. Improved multi-modal NDT will provide bridge owners and maintenance personnel an improved tool to assess bridge decks and to make decisions regarding their maintenance.
机译：桥梁是国家基础设施的重要组成部分，由于可用的预算有限，无法妥善维护，因此评估和损坏识别的方法必须提高准确性和成本效益。对于桥梁评估和损伤识别行业，提供最大潜力的研究领域是多模式无损检测（NDT）。用于状态评估的多模式NDT方法可以识别几种不同的劣化状态，进而提供更完整的状态评估。进行了研究以开发一种方法和程序，以将来自裸露的钢筋混凝土桥面板的多峰无损检测数据转换为基于状态的评估。使用的无损检测方法是电阻率（ER），半电池电位（HCP），探地雷达（GPR），冲击回波（IE）和拖链（CD）。这些方法中每种方法的数据都是在位于不同地理位置的12个桥面甲板上收集的。确定了无损检测方法之间的相关性，以便更好地了解这些方法与混凝土劣化之间的关系。一些已确定的相关性包括：低覆盖深度与劣化之间的强烈关联； ER和HCP测量值高度相关；与ER，HCP和CD识别出劣化位置相关的GPR衰减。所确定的相关性用于开发基于统计的方法来确定ER，HCP和GPR的阈值。阈值是高度相关的；因此，统计方法提供了一种更有效，更强大的阈值识别方法。使用识别出的阈值，将多峰无损检测数据融合并转换为基于劣化的状态评估，以识别腐蚀性环境，主动腐蚀，分层/侧裂和严重分层的位置。状态评估程序还使用由国家桥梁清单和美国国家公路和交通运输官员协会创建的，由联邦授权的评级系统对桥面进行评级。这项研究导致了对桥面的更有效的多模式无损检测条件评估。改进的多式无损检测将为桥梁所有者和维护人员提供一种改进的工具，以评估桥梁甲板并就其维护做出决策。

著录项

  • 作者

    Pailes, Brian M.;

  • 作者单位

    Rutgers The State University of New Jersey - New Brunswick.;

  • 授予单位 Rutgers The State University of New Jersey - New Brunswick.;
  • 学科 Engineering Civil.;Transportation.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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