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The Underlying Driving Forces of Multiple-Modal Statistical Behavior

[+] Author Affiliations
Zhigang Wei

Tenneco, Inc., Grass Lake, MI

D. Gary Harlow

Lehigh University, Bethlehem, PA

Kamran Nikbin

Imperial College, London, UK

Paper No. PVP2014-28880, pp. V06BT06A048; 8 pages
doi:10.1115/PVP2014-28880
From:
  • ASME 2014 Pressure Vessels and Piping Conference
  • Volume 6B: Materials and Fabrication
  • Anaheim, California, USA, July 20–24, 2014
  • Conference Sponsors: Pressure Vessels and Piping Division
  • ISBN: 978-0-7918-4604-9
  • Copyright © 2014 by ASME

abstract

Multiple-modal statistical distributions, which are caused by multiple failure mechanisms and modes, have been observed in several materials for several types of physical entities such as micro-crack size and cycles to failure under fatigue loading. However, the underlying damage mechanisms related to these entities are still not well understood, and the associated modeling is still lacking. In this paper, the possible underlying driving forces of the multiple-modal distribution functions are investigated based on the concept of crack or damage evolution.

Copyright © 2014 by ASME

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