Research on local deformation property of asphalt mixture using digital image correlation

Chao Xing, Yiqiu Tan*, Xueyan Liu, Kumar Anupam, Tom Scarpas

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

21 Citations (Scopus)
54 Downloads (Pure)

Abstract

Failure behavior of asphalt mixture is the process of local deformation accumulation, therefore, local deformation investigation is the base work of failure behavior. Digital image correlation (DIC) method is an optical method which can calculate the local deformation in the failure process. This paper aims to evaluate the precision, select the optimal test parameters for DIC deformation measurement based on natural speckle image, and investigate the local deformation characteristic in the failure process for different mixtures. The results show the image quality of AC with smaller normal maximum aggregate size (NMAS) is better for DIC deformation calculation, the relative deviation of virtual translation and shear test can satisfy the precision requirement, the optimal subset size is 31. Based on the strain distribution, the optimal local deformation measure length for indirect tensile test is set as 50 mm, the critical steady strain is proposed based on R2 obtained by the least squares fitting method, according to local deformation characteristic, the results show SMA can bear more deformation before unstable deformation stage and failure.

Original languageEnglish
Pages (from-to)416-423
Number of pages8
JournalConstruction and Building Materials
Volume140
DOIs
Publication statusPublished - 1 Jun 2017

Keywords

  • Asphalt mixture
  • Digital image correlation method
  • Image quality evaluation
  • Local deformation property

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