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Preliminary safety and risk assessment for existing hydraulic structures: An expert system approach

机译:现有水工建筑物的初步安全和风险评估:专家系统方法

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摘要

This thesis describes the engineering knowledge and reasoning processes required to execute the preliminary risk assessment process for existing concrete gravity dams. The research describes the concepts of stability of a concrete dam. An expert system has been developed to contain that knowledge and is validated so that it can be used as an effective engineering decision making tool to assist in the field inspection of a dam. The expert system identifies failure modes, remedial measures, and requests additional information if required. The deterministic evaluation process is concerned mostly with the structural stability of the dam, but takes into account the hydraulic and geotechnical factors that have a direct bearing on the stability evaluation. The emphasis of the research is on the identification and computer modeling of the knowledge rather than the development of a new expert system shell. The present expert system was developed with the shell Personal Consultant Plus.;The original aspects of this research are: (1) The research identified the nature and the components of stability in such a way that an expert system could "learn" how to evaluate the stability of any concrete gravity dam in any given loading condition; (2) the expert system does not use a pre-determined fault tree for the risk assessment, because it creates the branch of the fault tree as required by the particular consultation; (3) the expert system combines the reasoning processes to conduct a qualitative evaluation of a dam and to analyze the results of a traditional quantitative engineering evaluation; (4) the methodology takes advantage of both the expert system technology and the qualitative physics and common sense reasoning approaches of artificial intelligence.;The refinement and validation of the knowledge base are done by analyzing three different dams under varied loading conditions, and comparing the expert system's results with those of independent engineering evaluations.
机译:本文描述了对现有混凝土重力坝进行初步风险评估过程所需的工程知识和推理过程。该研究描述了混凝土大坝稳定性的概念。已经开发出一种专家系统来包含该知识,并对其进行了验证,以便可以将其用作有效的工程决策工具,以协助大坝的现场检查。专家系统可识别故障模式,补救措施,并在需要时请求其他信息。确定性评估过程主要涉及大坝的结构稳定性,但考虑到与稳定性评估直接相关的水力和岩土因素。研究的重点是知识的识别和计算机建模,而不是开发新的专家系统外壳。当前的专家系统是使用Shell Personal Consultant Plus开发的;该研究的原始方面是:(1)研究确定稳定性的性质和组成部分,以使专家系统可以“学习”如何评估在任何给定的载荷条件下,任何混凝土重力坝的稳定性; (2)专家系统不使用预定的故障树进行风险评估,因为它会根据特定咨询的需要创建故障树的分支; (3)专家系统结合推理过程对大坝进行定性评估,并分析传统定量工程评估的结果; (4)该方法既利用专家系统技术,又利用了人工智能的定性物理学和常识推理方法。;通过分析在不同载荷条件下的三种不同的大坝,并进行比较,对知识库进行完善和验证。专家系统的结果以及独立工程评估的结果。

著录项

  • 作者

    Franck, Bruno Marie.;

  • 作者单位

    University of Minnesota.;

  • 授予单位 University of Minnesota.;
  • 学科 Civil engineering.;Artificial intelligence.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 304 p.
  • 总页数 304
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:50:57

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