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A life-cycle optimization model using semi-markov process for highway bridge maintenance

机译：基于半马尔可夫过程的公路桥梁维修生命周期优化模型

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摘要

Due to a variety of risks related to aging, construction, material degradation, harsh environment, increasing traffic, and insufficient capacity, a large percentage of bridges in the U.S. highway system are deteriorating beyond acceptable standards. Although significant investments are needed to bring bridges back to acceptable condition, most highway agencies lack the appropriate funding and therefore need effective methodologies for allocating limited resources efficiently and cost-effectively. This paper presents a life-cycle optimization model using a semi-Markov process and demonstrates how the proposed method can assist highway agencies to make more quantitative and explicit decisions for bridge maintenance. The 2012 National Bridge Inventory (NBI) dataset for the State of Texas was analyzed in this study to illustrate bridge structural responses and behaviors under uncertainty and risks. The proposed method is accurate when compared to real data and customized to help highway agencies to optimize their decisions on structuring bridge maintenance, and consequently, leading to cost savings and more efficient sustainability of their bridge systems. The major contribution of this research is the low-error model and process algorithm for selecting the most appropriate maintenance strategy. If employed properly, it may allow agencies to more effectively maintain an aging infrastructure system.
机译：由于与老化，建筑，材料退化，恶劣的环境，增加的交通以及容量不足有关的各种风险，美国高速公路系统中很大比例的桥梁正在恶化，超出了可接受的标准。尽管需要大量投资才能使桥梁恢复到可接受的状态，但是大多数公路机构缺乏适当的资金，因此需要有效的方法来有效地和成本有效地分配有限的资源。本文提出了一种使用半马尔可夫过程的生命周期优化模型，并演示了所提出的方法如何帮助公路局为桥梁维护做出更定量和明确的决策。本研究分析了德克萨斯州的2012年国家桥梁清单（NBI）数据集，以说明在不确定性和风险下的桥梁结构响应和行为。与真实数据相比，所提出的方法是准确的，并且经过定制，可帮助公路部门优化其桥梁结构维护的决策，从而节省成本并提高桥梁系统的可持续性。这项研究的主要贡献是用于选择最合适的维护策略的低错误模型和过程算法。如果使用得当，它可以使代理机构更有效地维护老化的基础架构系统。

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  • 来源
    《Applied Mathematical Modelling》 |2017年第3期|45-60|共16页
  • 作者

    Wu Dayong; Yuan Changwei; Kumfer Wesley J.; Liu Hongchao;

  • 作者单位

    Department of Civil, Environmental and Construction Engineering, Texas Tech University, Lubbock, TX, United States;

    School of Economy and Management, Chang'an University, Xi'an, China;

    Department of Civil, Environmental and Construction Engineering, Texas Tech University, Lubbock, TX, United States;

    Department of Civil, Environmental and Construction Engineering, Texas Tech University, Lubbock, TX, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bridge maintenance; Life-cycle optimization; NBI Database; Risks; Semi-markov process; Uncertainty;

    机译：桥梁维修;生命周期优化;NBI数据库;风险;半马尔可夫过程;不确定;

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