Print Email Facebook Twitter Research on local deformation property of asphalt mixture using digital image correlation Title Research on local deformation property of asphalt mixture using digital image correlation Author Xing, C. (Harbin Institute of Technology) Tan, Yiqiu (Harbin Institute of Technology) Liu, X. (TU Delft Pavement Engineering) Anupam, K. (TU Delft Pavement Engineering) Scarpas, Athanasios (TU Delft Pavement Engineering) Date 2017-06-01 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. Subject Asphalt mixtureDigital image correlation methodImage quality evaluationLocal deformation property To reference this document use: http://resolver.tudelft.nl/uuid:b5b57653-d470-46f0-b1d4-40532413b105 DOI https://doi.org/10.1016/j.conbuildmat.2017.02.108 Embargo date 2019-03-18 ISSN 0950-0618 Source Construction and Building Materials, 140, 416-423 Part of collection Institutional Repository Document type journal article Rights © 2017 C. Xing, Yiqiu Tan, X. Liu, K. Anupam, Athanasios Scarpas Files PDF Research_on_local_deforma ... evised.pdf 1.83 MB Close viewer /islandora/object/uuid:b5b57653-d470-46f0-b1d4-40532413b105/datastream/OBJ/view