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Applications to Mechanical Engineering: Failure Analysis under Interval and Fuzzy Uncertainty

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Computing Statistics under Interval and Fuzzy Uncertainty

Part of the book series: Studies in Computational Intelligence ((SCI,volume 393))

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Abstract

One of the main objective of mechanics of materials is to predict when the material experiences fracture (fails), and to prevent this failure. With this objective in mind, it is desirable to use it ductile materials, i.e., materials which can sustain large deformations without failure. Von Mises criterion enables us to predict the failure of such ductile materials. To apply this criterion, we need to know the exact stresses applied at different directions. In practice, we only know these stresses with interval or fuzzy uncertainty. In this chapter, we describe how we can apply this criterion under such uncertainty, and how to make this application computationally efficient.

Its main results first appeared in [358].

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© 2012 Springer-Verlag Berlin Heidelberg

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Nguyen, H.T., Kreinovich, V., Wu, B., Xiang, G. (2012). Applications to Mechanical Engineering: Failure Analysis under Interval and Fuzzy Uncertainty. In: Computing Statistics under Interval and Fuzzy Uncertainty. Studies in Computational Intelligence, vol 393. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24905-1_38

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  • DOI: https://doi.org/10.1007/978-3-642-24905-1_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24904-4

  • Online ISBN: 978-3-642-24905-1

  • eBook Packages: EngineeringEngineering (R0)

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