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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2017, Vol. 38 ›› Issue (11): 221193-221193.doi: 10.7527/S1000-6893.2017.221193

• Solid Mechanics and Vehicle Conceptual Design • Previous Articles     Next Articles

Test and prediction model of statics property of fiber metal laminates

TONG Anshi, XIE Liyang, BAI Enjun, BAI Xin, ZHANG Shijian, WANG Bowen   

  1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
  • Received:2017-02-27 Revised:2017-06-23 Online:2017-11-15 Published:2017-06-23
  • Supported by:

    National Natural Science Foundation of China (51335003)

Abstract:

To investigate the nonlinear tensile response and fracture behavior of Fiber Metal Laminates (FMLs), tests of static tensile of GLARE2-2/1, GLARE2-3/2, GLARE3-2/1, GLARE3-3/2, GLARE6-2/1 and GLARE6-3/2 laminates were carried out. Digital Image Correlation (DIC) techniques were employed to observe the full-field strain of GLARE2-3/2, GLARE3-3/2, and GLARE6-3/2 laminates during loading. An analytical constitutive model based on a modified classical lamination theory, which considers both the elastic-plastic behavior of the aluminium alloy and the damage process of prepreg layers, are proposed to predict the elasticity modulus, tensile strength and stress-strain response of GLARE laminates. The prediction results are compared with the test results. To identify the damage characteristics of the glass/epoxy prepreg layer, the aluminium lays of the fracture specimens were removed by the chemical method. The results show that the performance of the injured prepreg layers will decrease with the increase of the number of the ply. The DIC technique can be used to detect effectively the damage of the prepreg layers in GLARE laminates under tensile loading. Good agreement can be obtained between model predictions and test results.

Key words: Fiber-Metal Laminate (FML), modified classical lamination theory, stress-strain curve, damage mechanism, Digital Image Correlation (DIC) technique, non-destructive testing

CLC Number: