01114222

Component

http://www.trb.org/Publications/Blurbs/160401.aspx

Optimizing investment funding levels and combinations of treatment types and timings, as an aid to management decision making, are vital functions of any bridge management system (BMS). Bridge managers and engineers are finding that their constituents require bridge projects and programs to perform not only as provided by least long-term cost solutions, but also to satisfy other objectives such as safety, minimum traffic flow disruption, and risk. NCHRP Project 12-67, published as NCHRP Report 590, has developed a multiple objective optimization methodology and software to facilitate implementation of balanced decision-support practices at the network and bridge-levels. Relative to existing BMS analytical frameworks, the new analysis includes several innovations: the use of utility theory and appropriate techniques of weighting, scaling, and amalgamation to combine multiple decision objectives; separation of bridge-level, network-level, and program-level components of the optimization so the engineer can work with each one separately yet maintain consistency in either a top-down or bottom-up management style; a framework for incorporating structure vulnerability and indirect costs in the analysis; the ability at the program level to apply both budget and performance constraints; and a digital dashboard presentation style to help engineers visualize the economic and performance trade-offs. The products of the study addressed many unmet needs in bridge management and opened the door to significant further research and development. Many aspects of the report are now being designed into AASHTO’s Pontis 5.2 BMS.

01114213

IBSMC08-018

English

pp 195-209

2008-10

Transportation Research Circular

Tenth International Conference on Bridge and Structure Management

Web

Figures (6) ; References (13)

Bridge management systems; Decision support systems; Utility theory

Pontis (Computer program)

Multiobjective optimization

Bridges and other structures; Design; Economics; Highways; I24: Design of Bridges and Retaining Walls

TRIS, TRB

Oct 31 2008 7:48AM

• A Bridge Management System for the Western Cape Provincial Government, South Africa: Implementation and Utilization
• A Discussion on the Efficiency of NBI Translator Algorithm
• Bridge Information Modeling for the Life Cycle: Progress and Challenges
• Bridging Data Voids: Advanced Statistical Methods for Bridge Management in KUBA
• Condition Assessment, Rehabilitation Planning, and Stay Cable Replacement Design for the Hale Boggs Bridge in Luling, Louisiana
• Corrosion Evaluation of Post-Tensioned Tendons in a Box Girder Bridge
• Design and Implementation of a New Bridge Management System for the Quebec Ministry of Transport
• Deterioration Rates of Typical Bridge Elements in New York
• In-Situ Repair of Steel Bridges Using Advanced Composite Materials
• Innovative Bridge Weigh-in-Motion System for Bridge Maintenance: A Case Study with Bridge on Highway I-59
• Integrated Management and Inspection System for Maryland Counties and Cities
• KUBA 4.0: The Swiss Road Structure Management System
• Long-Term Structural Monitoring for Asset Management
• Modeling Approach of the National Bridge Investment Analysis System
• Multiattribute Prioritization Framework for Bridges, Roadside Elements, and Traffic Control Devices Maintenance
• Multihazard Applications in Bridge Management
• National Database System for Maintenance Actions on Highway Bridges
• Progress Report on Oregon's Efforts to Integrate Its State Transportation Improvement Program Project-Selection Process with Pontis
• Project Prioritization Using Multiobjective Utility Functions
• Supporting Local Bridge Inspections in Kansas with Web-Based Automation
• Technical Audits of Rail Infrastructure: Description of Existing Infrastructure and Evaluation of Past Performance
• The German Approach to Bridge Management: Current Status and Future Development
• Thermal Imaging for Bridge Inspection and Maintenance
• Use of Bridge Management for Agency Decisions in Planning, Programming, and Performance Tracking
• Vulnerability Assessment of Individual Infrastructure Objects Subjected to Natural Hazards