A novel method for evaluating hot mix asphalt fatigue damage: X-ray computed tomography

被引:22
|
作者
Shaheen, Magdy [1 ,2 ]
Al-Mayah, Adil [1 ]
Tighe, Susan [1 ]
机构
[1] Univ Waterloo, Dept Civil & Environm Engn, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
[2] Univ Alexandria, Fac Engn, Dept Transportat Engn, Alexandria, Egypt
关键词
Hot mix asphalt; Fatigue damage; X-ray computed tomography; Air voids distribution; Asphalt beam; Image-based analysis; IMAGE-ANALYSIS; CONCRETE MIXTURES; MODELS;
D O I
10.1016/j.conbuildmat.2016.03.030
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a framework for employing X-ray computed tomography (CT) for the assessment of hot mix asphalt (HMA) fatigue damage. The analyses were carried out on asphalt beams in order to quantify the damage created by four-point bending load. A new algorithm has been developed for calculating the thresholding levels of the images acquired before and after testing. The thresholding level prior to testing was estimated using laboratory air voids. To determine the post-testing thresholding level, the proposed algorithm matches 16-bit image histograms obtained before and after the test. This process is implemented only for the portion of the histogram that represents the aggregate colour intensities that remain unchanged during the testing. The results and analysis reveal that the developed technique is a valid method for successfully quantifying and evaluating HMA fatigue damage in large specimens. Because of the high degree of precision they provide, 16-bit images are recommended for this type of analysis. It was found that the distributions of air voids and damage are not uniform in asphalt beams and that they vary significantly throughout the length of a single beam as well as from beam to beam. This study also confirms the effectiveness of X-ray CT for quantifying HMA fatigue damage in asphalt beams following crack propagation. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:121 / 133
页数:13
相关论文
共 50 条
  • [11] Characterization of Asphalt Mixture Homogeneity Based on X-ray Computed Tomography
    Hu, Chichun
    Youtcheff, Jack
    Wang, Duanyi
    Zhang, Xiaoning
    Kutay, Emin
    Thyagarajan, Senthilmurugan
    JOURNAL OF TESTING AND EVALUATION, 2012, 40 (07) : 1082 - 1088
  • [12] Classification of asphalt mixture materials based on X-ray computed tomography
    Zhang X.-N.
    Duan Y.-H.
    Li Z.
    Wu W.-L.
    Wan C.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2011, 39 (03): : 120 - 124+134
  • [13] A novel X-ray computed tomography method for fast measurement of multiphase flow
    Wu, Changning
    Cheng, Yi
    Ding, Yulong
    Wei, Fei
    Jin, Yong
    CHEMICAL ENGINEERING SCIENCE, 2007, 62 (16) : 4325 - 4335
  • [14] Porosity Measurement Method by X-ray Computed Tomography
    Prokop, Josef
    Sveda, Libor
    Jancarek, Alexandr
    Pina, Ladislav
    FRACTOGRAPHY OF ADVANCED CERAMICS III, 2009, 409 : 402 - 405
  • [15] Porosity estimation method by X-ray computed tomography
    Taud, H
    Martinez-Angeles, R
    Parrot, JF
    Hernandez-Escobedo, L
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2005, 47 (3-4) : 209 - 217
  • [16] X-RAY COMPUTED TOMOGRAPHY
    HORN, E
    ELECTRONICS AND POWER, 1978, 24 (01): : 36 - 41
  • [17] X-ray computed tomography
    Kalender, Willi A.
    PHYSICS IN MEDICINE AND BIOLOGY, 2006, 51 (13): : R29 - R43
  • [18] X-ray computed tomography
    Withers, Philip J.
    Bouman, Charles
    Carmignato, Simone
    Cnudde, Veerle
    Grimaldi, David
    Hagen, Charlotte K.
    Maire, Eric
    Manley, Marena
    Du Plessis, Anton
    Stock, Stuart R.
    NATURE REVIEWS METHODS PRIMERS, 2021, 1 (01):
  • [19] X-ray computed tomography
    Nature Reviews Methods Primers, 1
  • [20] X-RAY COMPUTED TOMOGRAPHY
    HORN, E
    ELECTRONICS AND POWER, 1978, 24 (03): : 181 - 181