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Risk Assessment and Management for Interconnected and Interactive Critical Flood Defense Systems.

机译:互连和交互式关键防洪系统的风险评估和管理。

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摘要

The current State-of-the-Practice relies heavily in the deterministic characterization and assessment of performance of civil engineering infrastructure. In particular, flood defense systems, such as levees, have been evaluated within the context of Factor of Safety where the capacity of the system is compared with the expected demand. Uncertainty associated with the capacity and demand render deterministic modeling inaccurate. In particular, two structures with the same Factor of Safety can have vastly different probabilities of failure. While efforts have been made to assess levee vulnerability, results from these more traditional engineering approaches are questionable because they do not more fully account for uncertainties included in modeling, natural variability, or human and organization factors.;This study develops and documents a probabilistic Risk Assessment Methodology that explicitly addresses levee resilience and sustainability by explicitly incorporating uncertainty in the Capacity and Demand components. In this research, we have categorized uncertainties into four different categories: Type I- Inherent (or aleatory) variability; Type II- Analytical/ Model (epistemic) variability; Type III- Human and Organizational Performance Uncertainty; and Type IV- Knowledge integration uncertainty.;The complete infrastructure system in the Delta is very complex with many components integrally correlated. These include large-scale water supplies that supply over 20 million residents; a flood protection and levee system that past research has shown to be at great risk; an electricity transmission grid key to California and western North America; and a multimodal transportation system (roads, rail and shipping) that extends throughout the Pacific Rim. Delta's levees are among of the most unstable engineering systems, with several major hazards threatening the stability of the approximately 1100 miles of its levees. Flood, sea level rise, and aging infrastructure all contribute to this risk. It is this potential levee failure that could cause the greatest damage, particularly with respect to the security of freshwater exports.;This thesis validates the proposed methodology by evaluating the probability of failure for an interconnected flood defense system in the California Sacramento-San Joaquin Delta. The study focuses on the behavior of the levee system protecting Sherman Island. Sherman island is of critical importance to California because of the critical infrastructures that pass under, on and over it, including: natural gas pipelines: regional and inter-regional electricity transmission lines; two deepwater shipping channels that run alongside the island; and the presence of State Highway 160, a link between major expressways. The work evaluates current (year 2010) and future conditions (year 2100) and incorporates variations in capacity and demand arising from human activities and global climate change. Specifically, the work evaluates the uncertainties for three potential failure modes: underseepage, slope (or levee) instability and overtopping/erosion through the use of Monte Carlo simulations that correctly capture the probability distribution of capacity and demand measures.;Finally, the work incorporates Human and Organizational Factors including interconnections and uncertainties into the Risk Assessment Model as they account for the largest contribution of major engineered system failures.;With this approach, probability of failure was determined and uncertainties were explicitly stated in every step of the method. By doing so decision makers and engineers can quickly identify where the uncertainty lies and decrease the probability of failure by increasing their understanding of the engineered system.
机译:当前的实践状态在很大程度上取决于土木工程基础设施性能的确定性表征和评估。特别是,在安全系数范围内评估了防洪系统(如防洪堤),将系统容量与预期需求进行了比较。与容量和需求相关的不确定性导致确定性建模不准确。尤其是,两个具有相同安全系数的结构的故障概率可能相差很大。尽管已经进行了评估堤防脆弱性的工作,但是这些更传统的工程方法的结果令人怀疑,因为它们没有更充分地说明建模,自然可变性或人为因素和组织因素中所包含的不确定性。;本研究开发并记录了概率风险通过在容量和需求组成部分中明确纳入不确定性的评估方法,明确解决了堤防的复原力和可持续性问题。在这项研究中,我们将不确定性分为四个不同类别:I型-固有(或偶然)变异性; II型-分析/模型(流行性)变异性; III型:人员和组织绩效不确定性;第四类是知识整合的不确定性。三角洲的完整基础设施系统非常复杂,许多要素之间是相互关联的。其中包括为超过2000万居民提供水的大型供水;过去的研究表明存在很大风险的防洪堤防系统;通往加州和北美洲西部的输电电网;以及遍布整个环太平洋的多式联运系统(公路,铁路和航运)。达美三角洲的堤防是最不稳定的工程系统之一,其中几处主要危险威胁着约1100英里堤防的稳定性。洪水,海平面上升和基础设施老化都加剧了这种风险。正是这种潜在的堤防破坏可能会造成最大的损失,特别是在淡水出口安全方面。本论文通过评估加利福尼亚萨克拉门托-圣华金三角洲的相互连接的防洪系统的失败概率,验证了所提出的方法。 。该研究的重点是保护谢尔曼岛的堤防系统的行为。谢尔曼岛对加利福尼亚至关重要,因为其上下,上方都经过关键的基础设施,其中包括:天然气管道:区域和区域间的输电线路;两条沿着岛屿的深水运输通道;以及160号国道(主要高速公路之间的链接)的存在。该工作评估了当前(2010年)和未来状况(2100年),并纳入了人类活动和全球气候变化引起的能力和需求变化。具体来说,该工作通过使用蒙特卡罗模拟来正确评估能力和需求量度的概率分布,从而评估三种潜在故障模式的不确定性:渗漏,坡度(或堤防)失稳以及超限/侵蚀。人为因素和组织因素包括风险评估模型中的相互联系和不确定性,因为它们构成了主要工程系统故障的最大贡献。通过这种方法,可以确定故障的可能性,并在方法的每个步骤中明确指出不确定性。这样,决策者和工程师可以通过增加对工程系统的了解来快速确定不确定性在何处,并降低发生故障的可能性。

著录项

  • 作者

    Hamedifar, Hamed.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Engineering Civil.;Engineering Environmental.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 358 p.
  • 总页数 358
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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