On-line life prediction of a structural hotspot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Current aerospace practice follows an engineering model based on damage-tolerant reliability whereby structural components are regularly inspected and replaced. Under this practice, engineering designs are generally based on a physics-based fracture mechanics approach, in which the life of structural component is estimated using an assumed initial damaged condition. However, in a real time environment, keeping track of the damage condition of a complex structural component manually is quite difficult and requires automatic damage state estimation. The real-time damage state information can be regularly fed to a prognosis model to update the residual useful life estimation in event of a new prevailing situation. The present paper discusses the use of an adaptive hybrid prognosis model, which estimates the residual useful life of a structural hotspot using information on the damage condition obtained in real time. The hybrid prognosis model has two modules: an off-line prognosis module that forecasts the future damage state, and an on-line state estimation module, which regularly predicts the current damage state and feeds into the off-line module in real time. Both the off-line and on-line modules are probabilistic models and use the concept of Bayesian inference based on input-output mapping through a Gaussian process.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Pages297-304
Number of pages8
DOIs
StatePublished - Dec 1 2008
EventASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 - Ellicott City, MD, United States
Duration: Oct 28 2008Oct 30 2008

Publication series

NameProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Volume2

Other

OtherASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
CountryUnited States
CityEllicott City, MD
Period10/28/0810/30/08

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Mechanics of Materials
  • Building and Construction

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  • Cite this

    Mohanty, S., Chattopadhyay, A., & Peralta, P. (2008). On-line life prediction of a structural hotspot. In Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 (pp. 297-304). (Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008; Vol. 2). https://doi.org/10.1115/SMASIS2008-646