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首页> 外文学位 >New Model for Bridge Management System (BMS): Bridge Repair Priority Ranking System (BRPRS), Case Based Reasoning for Bridge Deterioration, Cost Optimization, and Preservation Strategy
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New Model for Bridge Management System (BMS): Bridge Repair Priority Ranking System (BRPRS), Case Based Reasoning for Bridge Deterioration, Cost Optimization, and Preservation Strategy

机译：桥梁管理系统（BMS）的新模型：桥梁维修优先等级系统（BRPRS），基于案例的桥梁劣化推理，成本优化和保存策略

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摘要

Most public transportation agencies (Such as, state department of transportations (DOTs) and department of public works for cities and towns.) in the United States are constantly pursuing ways to improve bridge asset management to optimize their use of limited available funds for rehabilitation, replacement, and preventive maintenance. Given the realities of available funding, there is a significant difference between available funds and funds required for maintaining bridges in good condition. The proper preventative maintenance and treatments should be performed at the right time to be cost effective and extend the life of bridges. Neglecting maintenance can cause higher future costs and further deteriorate the conditions that will increase the risk of bridge closure. This would require complete or partial replacement as well as additional funds needed for detours and traffic control which interrupts services to the motorist and creates more congestion. Development and implementation of a Bridge Management System (BMS) provide states and municipalities with a tool to help identify maintenance repair, prioritize bridge rehabilitation and replacement, develop preservation strategies, and allocate available funds accordingly.;The primary objective of this research is to develop a Bridge Management System (BMS) to manage municipal and state bridge assets. Complete, accurate data in well-designed form is vital to a Bridge Management System (BMS). This system will make available work reports, engineering drawings, photographs, and a forecasting model for management staff use. Inventory and condition data are extracted from the U.S. Federal Highway Administration (FHWA) and National Bridge Inventory System (NBIS) coding guidelines. The proposed model provides: (1) A priority ranking system for Rehabilitation and Replacement projects, which enables the decision-makers to understand and compare the overall state of all the bridges in the network. It embraces seven factors condition, criticality, risk, functionally, bridge type, age, and size. (2) A deterioration model that uses optimized case-based reasoning (CBR) method. A similarity measure of classification is developed to identify how close the characteristics of bridge components are to each other based on a scoring system. (3) A cost model that considers different repair strategies and provide bridge repair recommendations with estimated cost repairs. (4)The model feeds data to a forecasting program that prepares 120-year preservation, maintenance, repair and rehabilitation budgets and schedules to sustain a bridge network at the highest performance level under approved budgets. The forecasting option contains default management costs that are upgraded as work report data yields costs based on locality and individual bridge projects. BMS will give accessibility through linkages to all available municipal, and DOT, bridge data in the state. The data will be available through ArcGIS on tablets, laptops, and smartphones with access to cloud storage.
机译：美国的大多数公共运输机构（例如，州交通运输部（DOT）和城镇公共工程部门。）都在不断寻求改善桥梁资产管理的方法，以优化其有限的可用资金来进行修复，更换和预防性维护。考虑到可用资金的现实情况，可用资金与维持桥梁良好状态所需的资金之间存在很大差异。应在适当的时间进行适当的预防性维护和治疗，以节省成本并延长桥梁的使用寿命。忽视维护可能会导致更高的未来成本，并进一步恶化条件，从而增加桥梁封闭的风险。这将需要全部或部分更换，以及绕行和交通控制所需的额外资金，这会中断对驾驶员的服务并造成更多的交通拥堵。桥梁管理系统（BMS）的开发和实施为各州和市政当局提供了一种工具，可帮助您识别维护维修，确定桥梁修复和更换的优先级，制定保护策略并相应分配可用资金。；本研究的主要目的是开发桥梁管理系统（BMS），用于管理市政和州的桥梁资产。精心设计的完整，准确的数据对于桥梁管理系统（BMS）至关重要。该系统将提供工作报告，工程图，照片和预测模型供管理人员使用。库存和状态数据是从美国联邦公路管理局（FHWA）和国家桥梁库存系统（NBIS）编码准则中提取的。所提出的模型提供：（1）修复和替换项目的优先级排序系统，使决策者能够了解和比较网络中所有网桥的整体状态。它包含七个因素，条件，关键程度，风险，功能，桥梁类型，年龄和大小。 （2）使用优化的基于案例的推理（CBR）方法的恶化模型。开发了一种相似性分类度量，以基于评分系统来识别桥梁组件的特征彼此之间的接近程度。 （3）一种成本模型，该模型考虑了不同的维修策略，并为桥梁维修建议提供了估计的成本维修。 （4）该模型将数据提供给一个预测程序，该程序将制定120年的维护，维护，维修和修复预算，并制定计划，以使桥梁网络维持在批准预算下的最高性能水平。预测选项包含默认管理成本，这些默认管理成本随着工作报告数据根据地理位置和各个桥梁项目产生的成本而升级。 BMS将通过链接来访问该州所有可用的市政和DOT桥接数据。可以在可访问云存储的平板电脑，笔记本电脑和智能手机上通过ArcGIS获得数据。

著录项

  • 作者

    Yari, Nasser.;

  • 作者单位

    University of New Hampshire.;

  • 授予单位 University of New Hampshire.;
  • 学科 Civil engineering.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 232 p.
  • 总页数 232
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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