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Calibrating Engineering Judgment in Geotechnical Risk Analysis

Calibrating Engineering Judgment in Geotechnical Risk Analysis
校准岩土风险分析中的工程判断
批准号:
0324245
负责人:
Gregory Baecher
金额:
$14.26万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-02-15 至 2006-01-31

项目摘要

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中文摘要
翻译
本研究采用个案研究的方法,在岩土工程风险分析中制定量化工程判断的改进方案。这一概念基于岩土工程的四个趋势:(1)主观判断对岩土工程实践很重要;(2)重要组织采用岩土风险分析;(3)目前采用量化专家判断的岩土工程风险分析较为实用,但缺乏理论基础;(4)当前的风险分析案例研究是一个现实生活的实验室,可以进一步了解工程判断是如何量化的,如何验证和校准的,以及最终的风险分析是多么可靠。本研究采用两个主要的大坝安全岩土风险分析研究来了解专家分配的概率的验证和校准过程。作为案例研究的起点,本研究运用了主观概率论的理论。在复杂风险分析中使用岩土判断的独特方面,研究进一步深化了这一知识体系。它将开发的方法应用于大型水坝组织承担的两个主要岩土风险分析项目。研究分为四个部分:案例研究、理论和方法开发、测试应用和信息传播。所采用的两个案例研究使用了大型堤防大坝安全的广泛记录的岩土风险分析。每项研究都严重依赖于咨询专家的量化判断。该项目将历史工程案例研究与其他学科(例如,认知心理学、管理科学和归纳推理)的理论发展,以及正在进行的项目的实际测试应用相结合。智力上的优点在于将多学科的洞察力带到一个实用的、新兴的、关键的岩土工程实践领域。研究的广泛影响将通过以下几个因素得到增强:马里兰大学提供了一个多样化的研究环境;大力招收女性和少数民族研究生和本科生;工作成果将出现在本科研究、研究生和专业课程中,以及大型多学科课程中;技术风险分析在各级政府的管理和监管活动中已经无处不在。专业判断的使用,逐渐被量化为概率,与风险分析的大多数使用有关,并且项目的结果可以告知所有这些努力。特别是,我们民用基础设施抵御自然灾害和人为威胁的安全问题已成为全国辩论的主要议题。风险分析和量化专家判断的必要作用是我们应对这些危害和威胁的能力不可或缺的一部分。
英文摘要
This research utilizes a case-study approach to develop improved protocols for quantifying engineering judgment in geotechnical engineering risk analysis. The concept is based on four converging trends in geotechnical engineering: (1) Subjective judgment is viewed as important to geotechnical practice; (2) important organizations are using geotechnical risk analysis; (3) current geotechnical risk analyses involving quantified expert judgment tend to be practical, but a theoretical basis is needed; and (4) current risk analyses case studies are a real life laboratory for furthering our understanding of how engineering judgment is quantified, how it is validated and calibrated, and how robust the resulting risk analyses are.The research employs two major geotechnical risk analysis studies of dam safety to understand the process of validating and calibrating probabilities assigned by experts. As a starting point for the case studies, the research uses theory from subjective probability. The research furthers this body of knowledge, building on unique aspects of the use of geotechnical judgment in complex risk analyses. It applies the developed approaches in two major geotechnical risk analysis projects undertaken by large dam-owning organizations.The research is organized in four tasks: case studies, theory and method development, tested applications, and information dissemination. The two case studies employed use an extensively documented geotechnical risk analysis of the safety of large embankment dams. Each study relied heavily on the quantified judgment of consulting experts. The project integrates historical engineering case studies with theoretical developments in other disciplines (e.g., cognitive psychology, management science, and inductive reasoning), and with practical tested applications on ongoing projects. The intellectual merit consists in bring multidisciplinary insight to a practical, emerging, critical area of geotechnical engineering practice.The broader impact of the research will be enhanced by several factors: The University of Maryland provides a diverse research environment; strong efforts will be made to recruit women and minority students, both graduate and undergraduate; the outcomes of the work will appear in undergraduate research, graduate and professional courses, and in a large multi-disciplinary course; technological risk analysis has become pervasive in the management and regulatory activities of government at all levels. The use of professional judgment, increasingly quantified as probabilities, pertains to most of these uses of risk analysis, and the results of the project can inform all these endeavors. In particular, the security of our civil infrastructure against natural hazards and man-made threats has come to dominate national debate. Risk analysis and the necessary role of quantified expert judgment are integral to our ability to address these hazards and threats.
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会议论文
Advanced Estimation Procedures for Spatially Defined Geotechnical Data
Simplified Error Analysis and Sampling Theory for In-Situ Testing of Soils
  • 批准号:
    8315922
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $11.97万
  • 财政年份:
    1984
  • 负责人:
    Gregory Baecher
  • 依托单位:
Travel to Attend Fourth International Conference on Applications of Statistics and Probability in Soil and Structural Engineering, Florence, Italy, June 13-17, 1983
  • 批准号:
    8311880
  • 项目类别:
    Standard Grant
  • 资助金额:
    $0.15万
  • 财政年份:
    1983
  • 负责人:
    Gregory Baecher
  • 依托单位:
Model Uncertainty in Geotechnical Engineering
国内基金
海外基金
Frontiers of Environmental Science & Engineering
  • 批准号:
    51224004
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2012
  • 负责人:
    朱建军
  • 依托单位:
Chinese Journal of Chemical Engineering
  • 批准号:
    21224004
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2012
  • 负责人:
    廖叶华
  • 依托单位:
Chinese Journal of Chemical Engineering
  • 批准号:
    21024805
  • 项目类别:
    专项基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2010
  • 负责人:
    廖叶华
  • 依托单位: