SpringerLink
Log in

Evaluation of bending performance of carbon fiber-reinforced eucalyptus/poplar composite plywood by digital image correlation and FEA analysis

  • Polymers & biopolymers
  • Published:
Journal of Materials Science Aims and scope Submit manuscript

Abstract

The failure of composite materials during bending is an issue that must be considered in the performance evaluation of structural materials. Strong–weak interlaminated composites are particularly prone to weak interfaces. In this study, the digital image correlation (DIC) method is used to detect the strain distribution of high-performance carbon fiber-reinforced eucalyptus/poplar composite plywood under three-point bending. Finite element analysis (FEA) method is used to numerically simulate the composite plywood of each reinforced structure, and failure evaluation in the bent state of plywood is carried out. Testing is then undertaken to determine that the FEA simulated value and the DIC measured value fit well. Besides, bending test verifies the failure mode predicted by FEA, which will be a very good prediction method for material failure.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Canada)

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11

Similar content being viewed by others

References

  1. Wang JX (2017) The research progress and trend of study on fast growing wood strengthening treatment technology. J Jilin For Sci Technol 46(03):35–38 (In Chinese)

    Google Scholar 

  2. Lv JX, Xu K, Liu Y et al (2014) Research progresses on reinforced modification of poplar wood from fast-growing plantation. J Cent South Univ For Technol 34(03):99–103 (In Chinese)

    Google Scholar 

  3. Sato N, Hojo M, Nishikawa M (2014) Novel test method for accurate characterization of intralaminar fracture toughness in CFRP laminates. Compos Part B Eng 65:89–98

    Article  CAS  Google Scholar 

  4. Gupta A, Harrison IR (1996) New aspects in the oxidative stabilization of PAN-based carbon fibers. Carbon 34(11):1427–1445

    Article  CAS  Google Scholar 

  5. Andrews R, Jacques D, Rao AM et al (1999) Nanotube composite carbon fibers. Appl Phys Lett 75(9):1329–1331

    Article  CAS  Google Scholar 

  6. Wright A, French M (2008) The response of carbon fibre composites to blast loading via the Europa CAFV programme. J Mater Sci 43:6619–6629

    Article  CAS  Google Scholar 

  7. Baskey HB, Akhtar MJ, Shami TC (2014) Investigation and performance evaluation of carbon black- and carbon fibers-based wideband dielectric absorbers for X-band stealth applications. J Electromagn W Appl 28(14):1703–1715

    Article  Google Scholar 

  8. Schumann A, May M, Curbach M (2018) Rebars made of carbon fibres for the use in civil engineering: part 1: fundamental material characteristics. Beton-und Stahlbetonbau 113(12):868–876

    Article  Google Scholar 

  9. Ghanbari GT, Jiao H, Holloway D (2015) Timber filled CFRP jacketed circular steel tubes under axial compression. Constr Build Mater 94:791–799

    Article  Google Scholar 

  10. Liu YS, Guan MJ, Dong ZY et al (2017) Preparation and properties of carbon fiber reinforced eucalyptus-poplar composite plywood. Fiber Reinforced Plastics/composites 12:60–66+24 (In Chinese)

    Google Scholar 

  11. Sugimoto T, Sasaki Y, Yamasaki M (2017) Fatigue of structural plywood under cyclic shear through thickness I: fatigue process and failure criterion based on strain energy. J Wood Sci 53(4):296–302

    Article  Google Scholar 

  12. Sugimoto T, Sasaki Y, Yamasaki M (2007) Fatigue of structural plywood under cyclic shear through thickness II: a new method for fatigue life prediction. J Wood Sci 53(4):303–308

    Article  Google Scholar 

  13. Sugimoto T, Sasaki Y (2008) Fatigue of structural plywood under cyclic shear through thickness III: energy dissipation performance. J Wood Sci 54(2):169–173

    Article  Google Scholar 

  14. Sutton MA, Wolters WJ, Peters WH et al (1983) Determination of displacements using an improved digital correlation method. Image Vis Comput 01(03):133–139

    Article  Google Scholar 

  15. Pan B, Yu LP, Wu DF et al (2014) Systematic errors in two-dimensional digital image correlation due to lens distortion. Opt Lasers Eng 51(02):140–147

    Article  Google Scholar 

  16. Valla A, Konnerth J, Keunecke D et al (2011) Comparison of two optical methods for contactless, full field and highly sensitive in-plane deformation measurements using the example of plywood. Wood Sci Technol 45(4):755–765

    Article  CAS  Google Scholar 

  17. Brezovic M, Kljak J, Pervan S et al (2010) Influence of synthetic fibers angle orientation on bending properties of composite plywood. Drvn Ind 61(4):239–243

    Google Scholar 

  18. Gong W, Chen J, Patterson EA (2016) Buckling and delamination growth behaviour of delaminated composite panels subject to four-point bending. Compos Struct 138:122–133

    Article  Google Scholar 

  19. Kashfuddoja M, Ramji M (2013) Whole-field strain analysis and damage assessment of adhesively bonded patch repair of CFRP laminates using 3D-DIC and FEA. Compos Part B Eng 53:46–61

    Article  CAS  Google Scholar 

  20. Kljak J, Brezovic M, Jambrekovic V et al (2009) 3D analysis of stress distribution in veneer plywood under bending load. Wood res 54(4):57–65

    Google Scholar 

  21. Kljak J, Brezovic M, Antonovic A (2009) Influence of plywood grain direction on sandwich panel bending properties. Drv Ind 60(2):83–88

    Google Scholar 

  22. GB/T 1938 (2009) Method of testing in tensile strength parallel to grain of wood. National Technical Committee for standardization of thermal insulation material. General Administration of Quality Supervision, Inspection and Quarantine and Standardization Administration of the People’s Republic of China.

  23. GB/T 3362 (2005) Test methods for tensile properties of carbon fiber multifilament. National Technical Committee for standardization of thermal insulation material. General Administration of Quality Supervision, Inspection and Quarantine and Standardization Administration of the People’s Republic of China.

  24. Kahnjetter ZL (1990) Three-dimensional displacement measurements using digital image correlation and photogrammic analysis. Exp Mech 30(1):10–16

    Article  Google Scholar 

  25. Hild F, Roux S (2006) Digital Image Correlation: from displacement measurement to identification of elastic properties–a review. Strain 42(2):68–80

    Article  Google Scholar 

  26. Hild F, Roux S (2012) Comparison of local and global approaches to digital image correlation. Exp Mech 52(9):1503–1519

    Article  Google Scholar 

  27. Chen F, Chen X, **e X et al (2013) Full-field 3D measurement using multi-camera digital image correlation system. Opt Lasers Eng 51(9):1044–1052

    Article  Google Scholar 

  28. Huang ZW (2017) Effects of ultrasonic treatment on surface characteristics and bonding interface properties of bamboo laminated lumber. Nan**g Forestry University, Nan**g (In Chinese)

    Google Scholar 

  29. Pan B, **e HM, Xu BQ et al (2006) Performance of sub-pixel registration algorithms in digital image correlation. Meas Sci Technol 17(06):1615–1621

    Article  CAS  Google Scholar 

  30. Pop O, Dubois F (2016) Determination of timber material fracture parameters using mark tracking method[J]. Constr Build Mater 102:977–984

    Article  Google Scholar 

  31. Jeong GY, Park MJ (2006) Evaluate orthotropic properties of wood using digital image correlation[J]. Constr Build Mater 113:864–869

    Article  Google Scholar 

  32. Wang YX (2012) Mechanics and Structural Design of Composite Materials. East China University of Science and Technology, Shanghai (In Chinese)

    Google Scholar 

  33. Wang ZY, Li HQ, Tong JW et al (2007) Statistical Analysis of the Effect of Intensity Pattern Noise on the Displacement Measurement Precision of Digital Image Correlation Using Self-correlated Images. Proc Soc Exp Mech 47(5):701–707 (In Chinese)

    Article  Google Scholar 

  34. Louzai A, Abed A (2015) Evaluation of the seismic behavior factor of reinforced concrete frame structures based on comparative analysis between non-linear static pushover and incremental dynamic analyses. Bull Earthq Eng 13(6):1773–1793

    Article  Google Scholar 

  35. Farrokh M, Dizaji MS, Joghataie A (2015) Modeling hysteretic deteriorating behavior using generalized prandtl neural network. J Engi Mech 141(8):04015024

    Article  Google Scholar 

  36. Li WZ (2018) Progressive damage analysis of composite laminates. Harbin Engineering University, Harbin (In Chinese)

    Google Scholar 

  37. Lee JD (1982) Three dimensional finite element analysis of damage accumulation in composite laminate. Comput Struct 15(3):335–350

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Key R&D program of China (2018YFD0600305), and Jiangsu Provincial Policy Guidance Program—Special Science and Technology Project in Northern Jiangsu, China (SZ-LYG2017014) and the Project Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

Author information

Author notes

  1. Mingjie Guan and Yuansong Liu contributed to this work equally.

Authors and Affiliations

  1. College of Materials Science and Engineering, Nan**g Forestry University, Nan**g, 210037, Jiangsu, China

    Mingjie Guan, Yuansong Liu, Zhiwei Zhang & Zhiwei Huang

  2. College of Materials Science and Engineering, Bei**g Forestry University, Bei**g, 100089, China

    Yuansong Liu

  3. Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nan**g Forestry University, Nan**g, 210027, China

    Mingjie Guan

Authors
  1. Mingjie Guan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuansong Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zhiwei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhiwei Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Mingjie Guan.

Ethics declarations

Conflict of interest

We declare that we do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Guan, M., Liu, Y., Zhang, Z. et al. Evaluation of bending performance of carbon fiber-reinforced eucalyptus/poplar composite plywood by digital image correlation and FEA analysis. J Mater Sci 55, 8388–8402 (2020). https://doi.org/10.1007/s10853-020-04584-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10853-020-04584-9

Search

Navigation