Markov-based deterioration prediction and asset management of floodway structures

IF 2.7 Q2 ENGINEERING, CIVIL

Sustainable and Resilient Infrastructure Pub Date : 2022-05-05 DOI:10.1080/23789689.2022.2067950

H. Tran, W. Lokuge, W. Karunasena, S. Setunge

引用次数: 1

Abstract

ABSTRACT Floodway structures are sections of roads that have been designed to be overtopped by floodwater and to fully return to serviceable level after the flood water recedes. They are an alternative cost-effective solution to bridges and culverts while they play a significant role in the economy of a country by connecting regional communities, farmlands and agricultural areas to urban cities. To support proactive asset management of floodway structures, this study developed a Markov deterioration model to predict the rate of deterioration for a network of floodway structures by using their visual inspection data. A computational algorithm has also been developed for estimating the lowest-cost inspection interval for floodway structures. A case study with real floodway structures is used to demonstrate its practical application. Effects of maintenance assumption, traffic count and underneath drainage culverts on deterioration rate of floodway network together with a budget estimation are the outcomes of this study.

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基于Markov的防洪建筑物劣化预测与资产管理

摘要：防洪道结构是指被洪水漫过并在洪水退去后完全恢复到可用水平的路段。它们是桥梁和涵洞的另一种成本效益高的解决方案，同时通过连接地区社区、农田和农业区与城市，在一个国家的经济中发挥着重要作用。为了支持防洪堤结构的主动资产管理，本研究开发了一个马尔可夫退化模型，通过使用其视觉检查数据来预测防洪堤结构网络的退化率。还开发了一种计算算法，用于估计泄洪道结构的最低成本检查间隔。以实际泄洪道结构为例，说明了该方法的实际应用。维护假设、交通量和排水涵洞对泄洪道网络恶化率的影响以及预算估算是本研究的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sustainable and Resilient Infrastructure ENGINEERING, CIVIL-

CiteScore

7.60

自引率

10.20%

发文量

期刊介绍： Sustainable and Resilient Infrastructure is an interdisciplinary journal that focuses on the sustainable development of resilient communities. Sustainability is defined in relation to the ability of infrastructure to address the needs of the present without sacrificing the ability of future generations to meet their needs. Resilience is considered in relation to both natural hazards (like earthquakes, tsunami, hurricanes, cyclones, tornado, flooding and drought) and anthropogenic hazards (like human errors and malevolent attacks.) Resilience is taken to depend both on the performance of the built and modified natural environment and on the contextual characteristics of social, economic and political institutions. Sustainability and resilience are considered both for physical and non-physical infrastructure.