High-Fidelity Model Development for Pavement Repair Performance

The Air Force Civil Engineer Center (AFCEC) is conducting research to develop pavement repair capabilities that minimize disruptions to military airfield operations. This work includes the investigation of hot-mix asphalt and rapid-setting flowable fill repair technologies. Pavement repairs pose unique challenges in terms of equipment availability, operational limitations, time available for construction, geometric boundaries and constructability. Initial traffic loadings may be applied within two hours of the repair completion. Consequently, materials degrade quickly, restricting their operational life. High-fidelity modeling and simulation can provide a mechanistic understanding of failure modes and causes of material degradation during aircraft wheel loading. Validated models can provide a tool for predicting the response of a wide variety of repair configurations as well as material and design concepts. Optimized repair designs will save costs and improve performance during operations. A phased research project is underway to systematically perform the testing and validation needed for model development. Models include nonlinear finite element analysis (FEA) and transient heat transfer analysis. Phase 1 has been completed and covers the first generation of a FEA model for a full-scale pavement repair. Experiments supporting this effort include nonlinear materials characterization testing as well as two full-scale experiments to validate the models. The first was a well-instrumented thermal test that measured through-thickness temperatures at various locations, and the second measured stress and strain levels during F-15E load cart traffic. This paper provides an outline for the modeling project and a detailed overview of the two full-scale validation tests performed.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Photos; References; Tables;
  • Pagination: 34p

Subject/Index Terms

Filing Info

  • Accession Number: 01764452
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-01685
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:05AM