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Probabilistic Structural Mechanics: Advances in Structural Reliability Methods pp 11–41Cite as

Fatigue Life Prediction of Structures

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Abstract

Fatigue life prediction problems are discussed from the viewpoint of probabilistic mechanics of solids and structures. A survey of random factors in damage and fracture is presented with a special emphasis on the statistical scatter of mechanical properties of materials and/or structural components. A model of fatigue crack initiation is discussed based on the concepts of continuum damage mechanics as well as the assumption that fatigue crack nuclei form Poissonian sets distributed in a body. To describe macroscopic fatigue crack propagation, the theory proposed by author that takes into account the interaction between the microdamage accumulation along the crack trajectories and the global balance of forces, energy, etc. in the cracked body under loading is used. Various approaches to the modeling of material property fields are considered, and the influence of random factors from different sources on fatigue life is studied by means of numerical simulation. Discussion of alternative probabilistic approaches to modeling of fatigue damage is presented.

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Author information

Authors and Affiliations

  1. Russian Academy of Sciences, Institute of Mechanical Engineering, Griboyedova str. 4, 101830, Moscow, Russia

    V. V. Bolotin

Authors
  1. V. V. Bolotin
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Editor information

Editors and Affiliations

  1. L. B. Ryon Chair in Engineering, Rice University, P. O. Box 1892, Houston, TX, 77251, USA

    Pol D. Spanos

  2. Southwest Research Institute, 6220 Culebra Road, San Antonio, TX, 78228, USA

    Y.-T. Wu

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© 1994 Springer-Verlag, Berlin Heidelberg

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Bolotin, V.V. (1994). Fatigue Life Prediction of Structures. In: Spanos, P.D., Wu, YT. (eds) Probabilistic Structural Mechanics: Advances in Structural Reliability Methods. International Union of Theoretical and Applied Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-85092-9_2

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  • DOI: https://doi.org/10.1007/978-3-642-85092-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-85094-3

  • Online ISBN: 978-3-642-85092-9

  • eBook Packages: Springer Book Archive

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