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Determination of Complex Modulus from a Back-Analysis Process of Frequency Response Functions for Asphalt Mixtures Using FEM Modeling

  • Thamires Ximenes Cavalcante
  • , Ana Karoliny Lemos Bezerra
  • , Mauro José da Silva Filho
  • , Lucas Feitosa de Albuquerque Lima Babadopulos
  • , Jean Claude Carret
  • École de technologie supérieure
  • LTDS UMR 5513 CNRS
  • Universidade Federal do Ceará

Research output: Contribution to Book/Report typesBook Chapterpeer-review

Abstract

This paper presents a method to determine the complex modulus of asphalt mixtures (AM) from Frequency Response Functions (FRFs) using a back-analysis approach. The main objective was to optimize the process for obtaining the linear viscoelastic (LVE) properties of AM based on non-destructive impact resonance test (IRT) data. The methodology combines an optimization code developed in MATLAB with numerical simulations in COMSOL, using the Finite Element Method (FEM) in 2D and the 2S2P1D rheological model to simulate the LVE behavior. The combined use of MATLAB and COMSOL allowed for efficient integration between numerical simulation and the optimization process, resulting in a more robust and automated methodology for analyzing viscoelastic materials. The results obtained from the IRT were compared with those from the Tension-Compression test (TCT). A good agreement was observed between the results of both tests, demonstrating the effectiveness of the proposed method. The expected impact of this research is to contribute to the advancement of computational tools for material characterization in engineering, with potential applications in road infrastructure projects and other related fields.

Original languageEnglish
Title of host publicationRILEM Bookseries
PublisherSpringer Science and Business Media B.V.
Pages677-690
Number of pages14
DOIs
Publication statusPublished - 2026

Publication series

NameRILEM Bookseries
Volume67
ISSN (Print)2211-0844
ISSN (Electronic)2211-0852

!!!Keywords

  • Asphalt mixture
  • Back-analysis
  • Frequency Response Function (FRF)
  • Impact resonance tests (IRT)
  • Optimization

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