Constitutive properties of materials from digital image correlation

Gabriel Nsengiyumva, Yong Rak Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study proposes a method to characterize constitutive behavior and properties of materials by integrating non-linear optimization of local displacement data from DIC (digital image correlation) and finite element modeling (FEM). Toward that end, the Neader-Mead algorithm was used to minimize an objective function constructed from multiple discrete points from DIC and FEM simulation. The developed method was then used to determine constitutive properties of LE (linear elastic) and LVE (linear viscoelastic) materials. Polyetheretherketone (PEEK) and fine aggregate matrix (FAM) were selected for the LE and LVE investigations, respectively. The DIC-FEM method herein can converge to optimal solution in less than 60 iterations for both LE and LVE materials. The integrated DIC-FEM method can vastly improve testing efficiency by reducing the number of replicates and also provide a better understanding of localized behavior of materials such as cracking and damage, in particular of inelastic heterogeneous materials and composites such as asphaltic materials.

Original languageEnglish (US)
Title of host publicationAdvances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020
EditorsA. Kumar, A.T. Papagiannakis, A. Bhasin, D. Little
PublisherCRC Press/Balkema
Pages307-310
Number of pages4
ISBN (Electronic)9780367461690
StatePublished - 2020
Externally publishedYes
Event2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020 - San Antonio, United States
Duration: May 27 2020May 29 2020

Publication series

NameAdvances in Materials and Pavement Performance Prediction II - Contributions to the 2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020

Conference

Conference2nd International Conference on Advances in Materials and Pavement Performance Prediction, AM3P 2020
Country/TerritoryUnited States
CitySan Antonio
Period5/27/205/29/20

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanics of Materials
  • Materials Science(all)

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