IFC-based BIM for Robotic Installation of Precast Bridge Components
This exploratory project proposes to take an invariant signatures and logic-based artificial intelligence (AI) approach to analyze precast bridge components’ designs in IFC-based BIM for automation in onsite construction using robots. The invariant signature of an AEC object is defined as “a set of intrinsic properties of the object that distinguish it from others and that do not change with data schema, software implementation, modeling decisions, and/or language/cultural contexts”. It has been successfully demonstrated in the vertical construction sector in supporting BIM interoperability: (1) between architectural design and construction cost analysis; (2) between architectural design and code compliance checking; (3) between architectural design and structural analysis; and (4) between architectural design and energy modeling/simulation. It also has been initially tested in the horizontal construction (i.e., civil infrastructure) sector for BIM interoperability between drainage/pavement design and quality assurance analysis. In this project, the invariant signatures will be investigated in applications that support BIM interoperability among precast bridge design, robotic installation, and constructability analysis.
Language
- English
Project
- Status: Active
-
Sponsor Organizations:
University of Illinois, Urbana-Champaign
Department of Civil and Environmental Engineering
Newmark Civil Engineering Laboratory
Urbana, IL United States 61801-2352Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Performing Organizations:
1040 South River Road
West Lafayette, IN United States 47907 -
Principal Investigators:
Zhang, Jiansong
Cai, Hubo
- Start Date: 20250101
- Expected Completion Date: 20250630
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Artificial intelligence; Bridge construction; Building information models; Concrete bridges; Precast concrete; Robots
- Subject Areas: Bridges and other structures; Construction; Highways;
Filing Info
- Accession Number: 01943058
- Record Type: Research project
- Source Agency: Transportation Infrastructure Precast Innovation Center
- Files: UTC, RIP
- Created Date: Jan 22 2025 12:01PM