01114215

Component

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

The FHWA and FTA report to the U.S. Congress on the state of transportation infrastructure in their biannual Conditions and Performance (C&P) Report. The FHWA uses the National Bridge Investment Analysis System (NBIAS) to develop its estimates of bridge investment needs for the C&P Report. This paper details the modeling approach used by NBIAS in determining bridge investment needs, focusing on recent developments in the system not previously described in the literature. NBIAS uses the National Bridge Inventory (NBI) for its input. The system predicts the structural elements, including the quantity and condition of each element, for each bridge in the NBI. Alternatively, one may import element data into the system directly. Once a bridge inventory has been established, NBIAS uses a modeling approach originally adapted from the Pontis Bridge Management System (BMS) to predict maintenance, repair, and rehabilitation (MR&R, also referred to as preservation) and functional improvement investment needs, and then simulates allocation of a given budget to the bridge inventory over time with the objective of maximizing user benefits and minimizing agency costs. When performing an analysis, the system executes a series of simulations with different annual budgets. The system presents its results through a series of reports and interactive views, which allow for interpolating results between the range of budgets analyzed.

01114213

IBSMC08-029

English

pp 297-312

2008-10

Transportation Research Circular

Tenth International Conference on Bridge and Structure Management

Web

Figures (6) ; References (14)

Bridge management systems; Budgeting; Investments; Mathematical models; Needs assessment

National Bridge Inventory; National Bridge Investment Analysis System; Pontis (Computer program)

Bridge preservation

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

TRIS, TRB

Oct 31 2008 12:29PM

• 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
• Multiattribute Prioritization Framework for Bridges, Roadside Elements, and Traffic Control Devices Maintenance
• Multihazard Applications in Bridge Management
• Multiobjective Optimization for Bridge Management Systems
• 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