Scheduling Inspection and Renewal of Large Infrastructure Assets
Scheduling Inspection and Renewal of Large Infrastructure Assets
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DOI：
10.1061/(asce)1076-0342(2001)7:4(136
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发表时间：
2001-12
影响因子：
3.3
通讯作者：
Y. Kleiner
中科院分区：
文献类型：
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作者：
Y. Kleiner
一个决策框架的引入，以协助市政工程师和规划师，以优化决策的更新大型基础设施资产，如输水管道，污水干渠，或其他资产的故障，检查和条件评估的高成本。所提出的决策框架确定需要立即干预，或者，可选地，能够优化下一次检查和状态评估的调度。资产的恶化被建模为半马尔可夫过程，从而被离散成条件状态。假设每个状态的等待时间是具有“已知”概率分布的随机变量。如果相关的数据是稀缺的（这是典型的，在大多数城市），这些概率分布可以根据专家的意见，最初得出。随着时间的推移，这些分布将随着观察到的劣化数据的收集而不断更新。用蒙特卡罗模拟方法计算了碳的分布。
A decision framework is introduced to assist municipal engineers and planners to optimize decisions regarding the renewal of large infrastructure assets such as water transmission pipes, trunk sewers, or other assets with high costs of failure, inspection, and condition assessment. The proposed decision framework identifies a need for immediate intervention or, alternatively, enables optimization of the scheduling of the next inspection and condition assessment. The deterioration of the asset is modeled as a semi-Markov process and is thereby discretized into condition states. The waiting times in each state are assumed to be random variables with “known” probability distributions. If pertinent data are scarce (as is typical in most municipalities) these probability distributions can be initially derived based on expert opinion. These distributions will then be continually updated as observed deterioration data are collected over time. Monte Carlo simulation is used to calculate the distributions of the c...