Physics-Informed Viscoelastic/Viscoplastic Model of Prestressed Concrete Creep
Understanding creep in precast concrete (PC) remains one of the preeminent challenges affecting the industry today. The creep mechanisms of concrete are highly complex, including a combination of drying creep and basic creep due to inherent viscoelastic and viscoplastic material behavior of Portland cement and other cementitious materials, and is affected by the composition of the concrete, amount of shrinkage, temperature and other environmental conditions, reinforcement, and cure time. Further complicating this issue is PC’s differential behavior in flexure, shear, pure tension, and compression. While existing theory of viscoelasticity can provide insights into the creep phenomenon, it cannot fully predict observed creep mechanistically. The focus of this project is to develop a physics-informed data driven model for creep of PC using theory of viscoelastic materials as a constraint. The research will leverage the latest methods in machine learning to predict PC creep, while making sure models are compatible with mechanics.
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:
University of Illinois, Urbana-Champaign
Department of Civil and Environmental Engineering
Newmark Civil Engineering Laboratory
Urbana, IL United States 61801-2352 -
Principal Investigators:
Hajj, Ramez
- Start Date: 20250101
- Expected Completion Date: 20251231
- Actual Completion Date: 0
- Subprogram: University Transportation Centers
Subject/Index Terms
- TRT Terms: Creep; Machine learning; Prestressed concrete; Viscoelasticity
- Subject Areas: Highways; Maintenance and Preservation; Materials;
Filing Info
- Accession Number: 01943054
- Record Type: Research project
- Source Agency: Transportation Infrastructure Precast Innovation Center
- Files: UTC, RIP
- Created Date: Jan 22 2025 11:48AM