Analytical model of asymmetrical mixed-mode bending test of adhesively bonded GFRP joint

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Abstract

This paper presents new analytical model of asymmetric mixed-mode bending (MMB) specimen of adhesively bonded pultruded GFRP joints. An easily applicable relationship for the calculation of the strain energy release rate of the asymmetric MMB specimens is proposed based on the beam theory. The model is capable to analyze stacking sequence as well as various crack propagation paths. In the paper the effect of the various fiber bridging length and different crack propagation paths is analyzed analytically and supported by experimental results. The methodology and results presented in this paper could be utilized for the design of both joint geometry and lay-up of the laminates constituting the joint or for the prediction of the fracture behavior of such structures.

Figures

  • Figure 1: Scheme and micrograph of the laminate architecture.
  • Figure 2: Scheme of the mixed-mode bending test.
  • Table 1: Material properties and thicknesses of all layers of the laminate and adhesive [17].
  • Table 2: Geometry and bending stiffness of MMB specimens for various crack propagation paths (various degree of asymmetry)
  • Figure 5: Comparison of total strain energy release rate calculated by proposed Eq. (10) with Eq. (1) derived by Reeder and Crews.
  • Table 3: Critical strain energy release rate at various paths under different mixed-mode loading in [J/m2] from [14]. Single underlined numbers represent highest recorded values of the group, double underlined values represent lowest recorded values.
  • Figure 7: The effect of fiber bridging length on the load vs. crack length diagram (c = 227 mm, cg = 54 mm).
  • Figure 8: Propagation of the crack in multiple paths.

References Powered by Scopus

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CITATION STYLE

APA

Ševčík, M., Hutař, P., Vassilopoulos, A. P., & Shahverdi, M. (2015). Analytical model of asymmetrical mixed-mode bending test of adhesively bonded GFRP joint. Frattura Ed Integrita Strutturale, 9(34), 216–225. https://doi.org/10.3221/IGF-ESIS.34.23

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