Development Of Architecture For Generative Pre-trained Transformer (Gpt) Inspired Model For Bridge Engineering With Application To Service Life Design, Called Bridgegpt.

A Generative Pre-trained Transformer (GPT) system can, if coupled with data, make a paradigm shift in approaches to bridge design and construction. The research proposed in this project focuses on the development of BridgeGPT architecture, using bridge service life design as the first application. This is in keeping with US DOT Secretary of Transportation upper administration interest in the development of BridgeGPT, as expressed at the IBT/ABC-UTC kickoff meeting in May, 2023. At that meeting, the concept of BridgeGPT was included in the power point presentation. The SHRP2 R19A project has gathered a wealth of data on bridge service life design. However, the full potential of this data has yet to be utilized. Traditional methods of bridge design and maintenance, while reliable, can benefit greatly from the predictive power and adaptability of models like BridgeGPT. There is a crucial need to more closely relate cutting edge artificial intelligence (AI) technology and bridge engineering to optimize service life design, reduce costs, and enhance infrastructure safety. This project aims to utilize the capabilities of GPT-like models, adapt them for bridge engineering, and create a tool that learns and improves over time.

Language

• English

Project

• Status: Active
• Funding: $105000
• Sponsor Organizations:

  Accelerated Bridge Construction University Transportation Center (ABC-UTC)

  Florida International University
  10555 W. Flagler Street
  Miami, FL  United States  33174

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Performing Organizations:

  Florida International University

  Civil and Environmental Engineering
  10555 W. Flagler Street, EC 3680
  Miami, FL  United States  33174
• Start Date: 20240101
• Expected Completion Date: 20250630
• Actual Completion Date: 0
• USDOT Program: University Transportation Centers

Subject/Index Terms

• TRT Terms: Artificial intelligence; Bridge construction; Bridge design; Service life; System architecture
• Subject Areas: Bridges and other structures; Construction; Data and Information Technology; Design; Highways;

Filing Info

• Accession Number: 01924832
• Record Type: Research project
• Source Agency: Accelerated Bridge Construction University Transportation Center (ABC-UTC)
• Files: UTC, RIP
• Created Date: Jul 21 2024 2:49PM