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Complexities of compression failure

Kendall, Kevin·1978·Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences

Abstract

The complexities of compression failure are defined in terms of the three well known failure modes: yielding, cone failure, and axial splitting. The notion of compressive strength is shown to be useful only in the case of yielding. For compression cracking, where the stress at failure varies with geometry and manner of force application, compressive strength is not such a useful parameter. Therefore, new failure criteria are suggested for compression cracking based on the energy balance theory of fracture. These criteria explain why the force required for failure depends on the mode of cracking, on the fracture surface energy of the material, and on the geometry and elasticity of the specimen. Fracture surface energy, and not strength, is found to be the fundamental material property dictating compression cracking. These ideas are verified by detailed theoretical and experimental investigation of compression splitting in glassy materials. In particular, the effects of size on compression failure are interpreted, both platen and specimen dimensions influencing the fracture force. It is further shown that the mode of failure can change from brittle to ductile under certain conditions, for example, as the platens are widened or as the sample is reduced in size. Finally, the inhibiting effect of lateral forces on compression cracking is explained.

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Metadata

Authors
Kendall, K.
Venue
Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences
Published
1978-05-11
Volume
361
Issue
1705
Pages
245-263
ISSN
  • 0080-4630 (ISSN-L)
  • 2053-9169
OpenAlex
W2058972088
Cited by
177
References
0
FWCI
4.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Complexities of compression failure. https://app.cochat.ai/papers/10.1098/rspa.1978.0101
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Kendall, K. (1978). Complexities of compression failure. Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences. https://doi.org/10.1098/rspa.1978.0101

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.