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Mesoscopic Plastic Strain-Based Multiaxial Fatigue Model for Random Loading

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ACMSM25

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 37))

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Abstract

A new model to estimate multiaxial high cycle fatigue life is presented in this paper. The proposed model is used for finding fatigue life of multiaxial random proportional loading by considering mesoscopic scale failure mechanism. The predicted fatigue lives by new model which consists of a new damage indicator is better than that of existing fatigue models. The experimental fatigue lives of 14 tests and theoretically predicted lives were compared. The model was verified. The proposed model predicted multiaxial fatigue model was shown a good agreement when comparing with previous models for random loadings.

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Acknowledgements

The authors highly appreciate given great advices by Emeritus Professor Mitao Ohga for making foundation of this study.

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Authors and Affiliations

  1. Department of Structural, Mechanical Engineering and Materials Science, University of Stavanger, Stavanger, Norway

    Sudath C. Siriwardane

  2. Department of Civil Engineering, University of Peradeniya, Peradeniya, Sri Lanka

    Ranjith Dissanayake

Authors
  1. Sudath C. Siriwardane
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  2. Ranjith Dissanayake
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Corresponding author

Correspondence to Ranjith Dissanayake .

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Editors and Affiliations

  1. School of Civil Engineering, The University of Queensland, St. Lucia, QLD, Australia

    Chien Ming Wang

  2. School of Civil Engineering, The University of Queensland, St. Lucia, QLD, Australia

    Johnny C.M. Ho

  3. School of Civil Engineering, The University of Queensland, St. Lucia, QLD, Australia

    Sritawat Kitipornchai

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Siriwardane, S.C., Dissanayake, R. (2020). Mesoscopic Plastic Strain-Based Multiaxial Fatigue Model for Random Loading. In: Wang, C., Ho, J., Kitipornchai, S. (eds) ACMSM25. Lecture Notes in Civil Engineering, vol 37. Springer, Singapore. https://doi.org/10.1007/978-981-13-7603-0_42

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  • DOI: https://doi.org/10.1007/978-981-13-7603-0_42

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7602-3

  • Online ISBN: 978-981-13-7603-0

  • eBook Packages: EngineeringEngineering (R0)

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