Optimizing the Planning of Precast Concrete Bridge Construction Methods to Maximize Durability, Safety, and Sustainability

Details

• Creators:
  El-Rayes, Khaled ; Ignacio, Ernest-John ; Helaly, Hadil
• Corporate Creators:
  University of Illinois at Urbana-Champaign
• Corporate Contributors:
  Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC) ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  Bridge Decks Cast In Place Concrete Concrete Bridges Construction Management Conventional Cast-In-Place Costs Decision Support Systems Decision Support Tool Deck Condition Rate Prediction Durability Early Design Phase Lateral Supports Machine Learning Mathematical Prediction Mobility Multi-objective Optimizatio Optimization Planning And Design Precast Bridges Precast Concrete Precast Lateral Slide Precast Self-Propelled Modular Transporters Safety Sustainable Development

  More +
• Publication/ Report Number:
  UI-23-RP-05
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report: January 2024-December 2025
• Corporate Publisher:
  Transportation Infrastructure Precast Innovation Center (TRANS-IPIC) Tier-1 University Transportation Center (UTC)
• Abstract:
  The main goal of this project is to provide DOT planners with much-needed support that enables them to analyze and compare the performance of alternative bridge construction methods during the early design phase and optimize their construction decisions during the preconstruction phase. To accomplish this goal, the main tasks of this project focused on: (a) developing novel machine learning models to accurately predict the condition ratings of conventional cast-in-place and precast concrete deck bridges using NBI data; (b) creating a practical decision support tool (DST) to analyze and compare the safety, mobility, sustainability, durability, and construction cost of alternative bridge construction methods during the early design phase; and (c) developing an original muti-objective optimization model for the planning of precast bridge projects to maximize their safety, mobility, and sustainability while minimizing their total construction cost during the preconstruction phase. The developed models and tools enable state DOTs and local agencies to accurately predict deck condition ratings for conventional and precast bridges; select the most suitable construction method for each planned project based on its specific requirements and constraints; and optimize the planning of precast bridge projects to achieve multiple objectives including maximizing safety, mobility, and sustainability while minimizing total construction cost.
• Format:
  PDF
• Funding:
  69A3552348333
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:238886053ce229df4cb720c49276e4f3fabed1736fd5e3d179571da2baa5d4046afeaabc057b144c0a29ea2aecfeb6115a9924357734233c46723e642cc5a586
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89212/dot_89212_DS1.pdf
• File Type:
  [PDF - 3.62 MB ]