Yari, N (2018) New model for bridge management system (bms): Bridge repair priority ranking system (brprs), case based reasoning for bridge deterioration, cost optimization, and preservation strategy. PhD thesis, University of New Hampshire, USA.
Abstract
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.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Goodspeed, C |
| Uncontrolled Keywords: | accessibility; optimization; reasoning; highway; inventory; replacement; traffic; asset management; bridge management; cost optimization; deterioration; forecasting; funding; preventive maintenance; rehabilitation; repairs; United States; bridge |
| Index terms: | preventive maintenance, asset management, drawing, strategy, default, case-based reasoning, management system, United States, reasoning, deterioration, cost optimization, replacement, municipality, repair, agency, cost model, program, public transportation, linkage, forecasting, accessibility, inventory, option, bridge project, implementation, management staff, funding, partial replacement, public work |
| Subjects: | dispute resolution, business, material degradation and durability, prediction and forecasting, financial and cost management, technical documentation, management, economics, specialized materials and systems, software systems, infrastructure and transport systems, administrative law, sociology, decision analysis, materials science, contractual arrangements, economic analysis, inventory management, Geography, infrastructure engineering, inclusive design, maintenance engineering, asset management, cognitive psychology |
| Topics: | Research Practice, Construction Materials, Business Strategy, Cost Management, Human Resources, Design Practice, Urban Studies, Digital Applications, Organizational Design, Geographical Context, Engineering Principles, Procurement, Risk Management, Supply Chain Management, Legal Issues |
| Descriptive scope: | 4 PCTA |
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