Polymer Mechanics

, Volume 11, Issue 5, pp 794–796 | Cite as

Fatigue strength of glass-reinforced plastics (GRP) in shear in the plane of reinforcement

  • Yu. P. Baltin
  • V. P. Tamuzh
Brief Communications


The results of an investigation of the fatigue strength of three grades of glass-reinforced plastic are described. It is shown that cyclic loading with gradually increasing stress amplitude can be used to determine the fatigue strength at a given ambient temperature and loading frequency.


Fatigue Ambient Temperature Cyclic Loading Fatigue Strength Stress Amplitude 
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Literature cited

  1. 1.
    H. Aida, J. Sakae, and D. Sunamoto, "Studies on the strength of plastics" (1st Rep.), in: Proceedings of the Second Japan. Congress on Test Materials, Kyoto (1959).Google Scholar
  2. 2.
    R. H. Carey, "Fatigue tests on nonrigid plastics," ASTM Bull. 206 (1955).Google Scholar
  3. 3.
    S. Amijima and T. Tanimoto, "The effect of glass content and environmental temperature on fatigue properties," Proceedings of the International Conference on the Mechanical Behavior of Materials, Kyoto, Vol. 5 (1972), p. 269.Google Scholar
  4. 4.
    Yu. P. Baltin, V. P. Tamuzh, and G. F. Anson, "Two-component device for cyclic tests under a complex load," Mekh. Polim., No. 1, 141–147 (1972).Google Scholar
  5. 5.
    P. P. Oldyrev, "Correlation between static and fatigue strengths of reinforced plastics," Mekh. Polim., No. 3, 468–475 (1973).Google Scholar
  6. 6.
    P. P. Oldyrev and V. P. Tamuzh, "Fracture of a glass-reinforced palstic in cyclic tension-compression," Mekh. Polim., No. 4, 654–663 (1971).Google Scholar

Copyright information

© Plenum Publishing Corporation 1976

Authors and Affiliations

  • Yu. P. Baltin
  • V. P. Tamuzh

There are no affiliations available

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