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Uncertainty-based condition assessment of existing concrete structures.

机译:基于不确定性的现有混凝土结构状况评估。

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摘要

Assessment of a structure condition is a complex subject imbued with vagueness and ambiguity. This complexity arises from the use of subjective opinion and imprecise numerical data since routine assessments have been so far carried out on the basis of intuition and engineering judgement of experienced engineers.; The current practice in assessing the condition of existing structures consists of examining available documentation, visual inspection, field testing, and laboratory testing. Data collected as results of these investigations were called evidential elements, and they appear in two forms either numerical measurements or linguistic observations. An assessment of the condition of an existing concrete structure is accomplished using combined observational and measuremental information. Expert opinions on structural condition were used to develop the nonnumeric portion of the evidence. Fuzzy sets were used to quantify linguistic variables since this type of information is inherently vague.; A knowledge base contains rules and graphs that relate the evidence space, e.g., observed distress or laboratory test results, to the hypothesis space, i.e., the quality conditions of a concrete structure. The processing of this information was controlled through a quantitative reasoning treatment, which retrieves necessary facts from the knowledge base using an appropriate reasoning treatment, i.e., numerical and/or linguistic.; The beliefs in the collected hypotheses were discounted as a result of unreliability that might be associated with the source of evidence. Since the information being conveyed by a piece of evidence is often not only imprecise, but also incomplete, and vague. A hypotheses belief structure model that can cope with all these different kinds of uncertainties in a sound manner was developed. It is served as a theoretical base needed for developing the methodology for concrete structure overall quality condition assessment, diagnostic and decision analyses.; This study also examined a diagnostic model based on the concepts of evidence theory, fuzzy set theory, Bayesian theorem, and finally open world assumption, which contributes a new methodology for diagnosing deterioration problems.; The Dempster-Shafer evidential theory lacks a formal methodology for making decisions. Herein, frameworks have been proposed to model a decision-maker's degree of belief about which state of affairs will prevail.
机译:结构条件的评估是一个复杂的课题,充满模糊性和歧义性。这种复杂性源于主观意见和不精确的数值数据的使用,因为到目前为止,常规评估是根据经验丰富的工程师的直觉和工程判断进行的。评估现有结构状况的当前实践包括检查可用文档,外观检查,现场测试和实验室测试。这些调查的结果收集的数据称为证据元素,它们以两种形式出现:数值测量或语言观察。使用组合的观测和测量信息可以完成对现有混凝土结构状况的评估。使用专家对结构条件的意见来开发证据的非数字部分。模糊集用于量化语言变量,因为这种类型的信息本质上是模糊的。知识库包含将证据空间(例如观察到的困扰或实验室测试结果)与假设空间(即混凝土结构的质量条件)相关联的规则和图形。通过定量推理处理来控制该信息的处理,该定量推理处理使用适当的推理处理(即数字和/或语言学)从知识库中检索必要的事实。由于可能与证据来源相关的不可靠性,对所收集假设的信念被轻视。由于通过证据传递的信息通常不仅不精确,而且不完整且含糊不清。建立了可以可靠地应对所有这些不同种类不确定性的假设信念结构模型。它为开发混凝土结构整体质量状况评估,诊断和决策分析的方法学提供了理论基础。这项研究还研究了基于证据理论,模糊集理论,贝叶斯定理和最后的开放世界假设的诊断模型,这为诊断恶化问题提供了新的方法。 Dempster-Shafer证据理论缺乏决策的正式方法。在此,已经提出了用于对决策者关于哪种情况将占上风的信念程度建模的框架。

著录项

  • 作者

    Al-Fadhala, Manal M.;

  • 作者单位

    University of Maryland College Park.;

  • 授予单位 University of Maryland College Park.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 243 p.
  • 总页数 243
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;
  • 关键词

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