Automated knowledge graphs for life-cycle management of coastal bridge networks

With the advancement of computational resources and the emergence of big data, digital twins have become increasingly popular as tools to enable the digital transformation of our cities. In terms of managing coastal bridge networks, digital twins show the potential to better monitor the life-cycle risk of the bridge networks by fusing the big data from disparate sources with the traditional life-cycle risk assessment models. To construct such a digital twin, a prerequisite and a main challenge are to establish a knowledge graph. The objective of this project is hence to generate a city-scale knowledge graph to represent the relationships between the needed variables related to data-driven life-cycle risk analysis of a coastal bridge network. In contrast to existing knowledge graphs developed for digital twins, the knowledge graph in this project will consider statistical correlations within a system (e.g., spatially correlated climate-related hazards) and across different systems (e.g., correlations between flooding and bridge failure).

Language

• English

Project

• Status: Completed
• Funding: $96000
• Contract Numbers:

  69A3552348330

• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  Coastal Research and Education Actions for Transportation Equity

  Texas State University
  San Marcos, TX  United States  77666

  University of Miami

  1320 S. Dixie Highway
  Ste. 650
  Coral Gables, FL  United States  33146
• Managing Organizations:

  Coastal Research and Education Actions for Transportation Equity

  Texas State University
  San Marcos, TX  United States  77666
• Project Managers:

  Bruner, Britain

  Kulesza, Stacey

• Performing Organizations:

  University of Miami

  1320 S. Dixie Highway
  Ste. 650
  Coral Gables, FL  United States  33146
• Principal Investigators:

  Nanni, Antonio

  Cheng, Minghui

• Start Date: 20231001
• Expected Completion Date: 20240831
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers Program

Subject/Index Terms

• TRT Terms: Bridge management systems; Coastal zone management; Data analysis; Life cycle analysis
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Maintenance and Preservation; Planning and Forecasting;

Filing Info

• Accession Number: 01895250
• Record Type: Research project
• Source Agency: Coastal Research and Education Actions for Transportation Equity
• Contract Numbers: 69A3552348330
• Files: UTC, RIP
• Created Date: Oct 3 2023 9:50PM