Recycled aggregate concrete performance analysis based on digital image processing

  • Shuli ZhaoEmail author
  • Chao Sun


Multimedia technology has important practical significance and broad application prospects for promoting the development of the industry. In this paper, digital image processing multimedia technology is applied in the research of recycled aggregate concrete performance, which proposes a new research method to study the performance of recycled aggregate concrete. First, the performance of recycled aggregate concrete is studied and analyzed by traditional test methods. Based on the result, the traditional test method and digital image processing method are applied to analyze the entire process deformation of recycled aggregate concrete, and a comprehensive analysis of recycled aggregate concrete is carried out. This study covers a variety of analytical methods, significantly improves the experimental analysis of recycled aggregate concrete, and promotes the wide application of digital image processing technology in the field of green recycled aggregate concrete.


Multimedia technology Digital image Recycled aggregate concrete Computer numerical analysis 



The study was supported by the Hebei province construction science and technology research project, recycled aggregate concrete application research (Item number: 2013-104), and also supported by Youth Science Fund of Hebei Agricultural University, Research on Basic Mechanical Properties of Recycled Aggregate Concrete (Item number: QN201327).


  1. 1.
    Dai Y, Sun Z, Wu G et al (2010) Whole field deformation measurement of concrete structure based on digital image correlation. J Southeast Univ 40(4):829–834Google Scholar
  2. 2.
    Dai Y, Sun Z, Wu G, He X (2010) Whole field deformation measurement of concrete structure based on digital image correlation. J Southeast Univ (Natural Science Edition) 40(4):829–834Google Scholar
  3. 3.
    Jiang Z, Keman Q, Miao H et al (2015) Path-independent digital image correlation with high accuracy, speed and rohustness. Opt Lasers Eng 65:93–102CrossRefGoogle Scholar
  4. 4.
    Jiang H, Dai M, Su Z, Yang F, He X (2017) An adaptive sine/cosine filtering algorithm based on speckle phase fringe orientation. Acta Opt Sin 37(9):0910001-1–0910001-8Google Scholar
  5. 5.
    Li Q-q, Li Q-y, Yue G-b, Gao S (2017) Determination of recycled coarse aggregate mortar content and research on aggregate lifting technology[J]. Bull Chin Ceram Soc 36(10):3422–3425Google Scholar
  6. 6.
    Li F, Jin H, Yu Y, Hu Z, Wang Y (2018) Evaluation of quality evaluation of concrete recycled coarse aggregate. J Southwest Jiaotong Univ 09(23):16Google Scholar
  7. 7.
    Liu J, Wu C (2018) Development status and performance research of recycled concrete. Concrete 6(344):148–150Google Scholar
  8. 8.
    Liu S, Qian X, Fu X, Tong Y, Ren Q (2017) Properties of recycled coarse aggregate and discussing the applicability of linear fitting. Concrete 10(336):118–122Google Scholar
  9. 9.
    Marthong C, Marthong S (2015) Enhancing mechanical properties of concrete prepared with coarse recycled aggregates. IES J Part A: Civil Struct Eng 3:175–183Google Scholar
  10. 10.
    Omary S, Ghorbel E, Wardeh G (2016) Relationships between recycled concrete aggregates characteristics and aggregates concretes properties. Constr Build Mater 108(1):163–174CrossRefGoogle Scholar
  11. 11.
    Peters WH, Ranson WF (1982) Digital imaging techniques in experimental stress analysis. Environmental jurisprudence in India. Kluwer Law International, 21(20):427–431Google Scholar
  12. 12.
    Serres N, Braymand S, Feugeas F (2016) Environmental evaluation of concrete made from recycled concrete aggregate implementing life cycle assessment. J Build Eng 5:24–33CrossRefGoogle Scholar
  13. 13.
    Shao X, Dai Y, He X, Wang H, Wu G (2015) Real-time digital image correlation for quasi-static test in civil engineering. Acta Opt Sin 35(10):1012003-1–1012003-9Google Scholar
  14. 14.
    Shao X, He X, Zhang J (2017) Multi-scale two-dimensional digital image correlation system and its application. J Southeast Univ (Natural Science Edition) 47(2):242–246Google Scholar
  15. 15.
    Sun W, He X (2009) Experimental studies on application of digital image correlation in measuring field of civil engineering. J Nanjing Univ Aeronaut Astronautics 41(2):271–275MathSciNetGoogle Scholar
  16. 16.
    Sun B, Xiao Z-l, Chen L-h, LI Y-m, Pu H-q (2017) Research Progress on mechanical properties of recycled concrete. Bull Chin Ceram Soc 36(2):497–502Google Scholar
  17. 17.
    Sutton MA, Wolters WJ, Peters WH et al (1983) Determination of displacement using an improved digital correlation method. Image Vis Comput 1(3):133–139CrossRefGoogle Scholar
  18. 18.
    Wu J, Zhu L, Jing X (2015) Study on random characteristics and grading method of recycle dcoarse aggregate. Eng Mech 32(2):97–104Google Scholar
  19. 19.
    Xu M, Wang S, Zhang M (2018) Experimental study on mechanical properties of recycled concrete. Concrete 7(345):72–75Google Scholar
  20. 20.
    Yamaguchi I (2000) A laser-speckle strain gauge. J Phys E Sci Instrum 14(11):1270CrossRefGoogle Scholar
  21. 21.
    Yan C, Shi Y, Hu C, Hu H (2018) Experimental and regressive analysis on compressive strength of recycled concrete. Construction Technology 47(8):102–105Google Scholar
  22. 22.
    Yu H, Guo R, Xia H et al (2014) Application of the mean intensity of the second derivative in evaluating the speckle patterns in digital image correlation. Opt Lasers Eng 60(178):32–37CrossRefGoogle Scholar
  23. 23.
    Zhang X, Yang J, Chen Z (2016) Experimental study on axial compression strength and deformation performance of recycled aggregate concrete. Concrete Theor Res 11(325):34–37Google Scholar
  24. 24.
    Zhang S, Wang S, Zhang B, Zhang M (2017) Experimental study on basic mechanical properties of recycled concrete. Concrete 10(336):100–103Google Scholar
  25. 25.
    Zhao X, Li Q (2017) A review on measurement technology for structural testing in civil engineering. J Xi’an Univ Arch Tech (Natural Science Edition) 49(1):48–55MathSciNetGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Institute of Urban and Rural ConstructionHebei Agricultural UniversityBaodingChina
  2. 2.Department of Architectural EngineeringBaoding Vocational and Technical CollegeBaodingChina

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