01672053

Component

http://www.trb.org/Main/Blurbs/176806.aspx

Ensuring a functional, safe, and resilient transportation network is a vital objective of transportation agencies. Two major challenges that make it difficult to accomplish this goal are (1) limited resources, specifically funding, and (2) the increase in maintenance and preservation needs of bridges as they age. Additionally, construction and maintenance costs have continued to rise over the last decade and when combined with steady or declining revenue, this results in a reduction in purchasing power. To maximize the impact of maintenance and preservation work, bridge managers, planners, and decision-makers must have the data and tools available to determine the optimal allocation of resources between competing bridges in a transportation network. Furthermore, they must identify the optimum timing to do the work. Faced with this need for data-driven decision-making it is crucial that transportation agencies have effective decision-making processes, procedures, and tools, such as bridge management systems, to manage their network of bridges. While bridge managers recognize that aggregate information is advantageous for providing high-level executive reports and general estimates for funding requirements, they acknowledge the limits of bridge management practices that only use a single criterion to predict needs. Identifying several key bridge management criteria, with well-defined goals, enables decision-makers to clearly distinguish differences in the functionality and other attributes of bridges that may otherwise go unnoticed. Therefore, there is a clear need to pursue and develop supplemental bridge management practices that utilize multiple criteria and trade-off analyses. AASHTOWare Bridge Management (BrM) 5.2.3 is an excellent bridge management software solution that assists engineers, managers, and decision-makers in the selection and timing of preservation, rehabilitation, and replacement projects for their structures. BrM 5.2.3 provides a robust, data-driven approach to project selection and therefore, it is imperative that the software is configured to meet the specific needs, policies, and practices of the agency. These configurations include, but are not limited to, the utility tree, deterioration rates, benefits and actions performed, funding, and performance measures. This paper serves as a high-level guide of the functionality and bridge management modules in BrM 5.2.3

01658888

English

pp 188-212

2017-11

Transportation Research Circular

Eleventh International Bridge and Structures Management Conference

Digital/other

Figures; Tables

Bridge management systems; Highway bridges; Software packages

AASHTOWare (Software)

Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation

TRIS, TRB, ATRI

Jun 14 2018 9:56AM

• AASHTO Manual for Bridge Evaluation Update to Chapter 3: Bridge Management Systems: A Practical Tour
• Blending Science and Engineering: Laguna Creek Bridge Bank Protection
• Bridge Model Validation at Indiana Department of Transportation
• Developing a Program to Rank New York City Bridges by Benefit–Cost Ratio: Lessons Learned from New York City Department of Transportation
• Development of Limit State–Based Structural Health Monitoring Thresholds for Efficient Reporting and Alerting
• Exploring the U.S. Interstate Highway Bridge Maintenance Expenditure Versus Condition Trade-Off Relationship Using Aggregate Data
• Framework for Objective Risk Assessment in Bridge Management
• Highlights from the 11th International Bridge and Structures Management Conference: Putting Bridge Management into Practice
• Implementation of Road Structure Management System KUBA: Experience Report
• Migration Probability Matrix for Bridge Element Deterioration Models
• Modeling of Life-Cycle Alternatives in the National Bridge Investment Analysis System
• Novel Cost-Based Performance Index for Condition Assessment of Bridges: Case Study for an Ohio Bridge
• Optimal Retrofit Decision-Making for Bridge Systems Based on Multihazard Life-Cycle Cost Analysis
• Risk Assessment for Bridge Management Systems
• Robust Registration Algorithm for Performing Change Detection of Highway Bridges Using 3-D Laser Scanning Data
• The Evolution of Structure Asset Management in Wisconsin: Practice and Research
• Validating Common Collapse Conjectures in U.S. Bridges
• Visual Inspections and Key Performance Indicators: Bridging the Gap
• Vulnerability: Top-Level Performance Indicator for Bridges Exposed to Flooding Hazards