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ASCE-EWRI 2009 – World Environmental Water Resources Congress Developing Probability of Failure Estimates for Stream Restoration Design Components

机译:ASCE-EWRI 2009 –世界环境与水资源大会,开发河流修复设计组件的失效估计概率

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Stream restoration projects are proliferating in all regions of the country to provideimprovements to streams disturbed by highway construction, urbanization, andchannel modifications. The morphologically-based natural channel design method iscommonly used to design stream restoration projects; however, the designapproach is often vague, qualitative, and lacking in guidance. This can lead to anincrease in project uncertainty and costs. A two-step method of incorporatinguncertainty and risk in stream restoration design has been developed as acombination of Design Failure Modes and Effects Analysis (DFMEA) and riskquantification. The purpose of DFMEA is to prioritize failures in accordance withtheir risk. The definition of risk contains two components: (1) probability of failureand (2) consequence of failure. Probability of failure of stream restoration designcomponents is often difficult to determine due to lack of published failure data. Inthe existing risk assessment method, the likelihood of occurrence ratings from theDFMEA are used to estimate the probability of failure. A set of tasks were carriedout to improve the application of the two-step risk assessment method bydeveloping better estimates of probability of failure for stream restoration designcomponents. A literature review was performed to compile potential failure modes,causes of failure, associated predictor variables, and uncertainty in the predictorvariables for stream restoration design components. Following this, advancedprobabilistic techniques, namely Logistic Regression Analysis (LRA) and Monte Carlo
机译:溪流修复项目在该国所有地区都在激增,以提供 改善因高速公路建设,城市化和 频道修改。基于形态学的自然通道设计方法是 通常用于设计流恢复项目;但是,设计 这种方法通常含糊,定性且缺乏指导。这可能导致 项目不确定性和成本增加。合并的两步法 河道修复设计中的不确定性和风险已被开发为 设计失败模式和效果分析(DFMEA)与风险的结合 量化。 DFMEA的目的是根据 他们的风险。风险的定义包含两个组成部分:(1)失败的可能性 (2)失败的后果。流恢复设计失败的可能性 由于缺少已发布的故障数据,通常很难确定组件。在 现有的风险评估方法,从 DFMEA用于估计故障的可能性。进行了一系列任务 通过改进两步风险评估方法的应用 为流恢复设计开发更好的失败概率估计 成分。进行了文献综述以编译潜在的故障模式, 失败原因,相关的预测变量以及预测变量的不确定性 流恢复设计组件的变量。在此之后,高级 概率技术,即逻辑回归分析(LRA)和蒙特卡洛

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