On-line life prediction of a structural hotspot

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

7 Citations (Scopus)

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
Volume2
DOIs
StatePublished - 2008
EventASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 - Ellicott City, MD, United States
Duration: Oct 28 2008Oct 30 2008

Other

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

Fingerprint

State estimation
Fracture mechanics
Physics
Statistical Models

ASJC Scopus subject areas

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

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 (Vol. 2, pp. 297-304) https://doi.org/10.1115/SMASIS2008-646

On-line life prediction of a structural hotspot. / Mohanty, Subhasish; Chattopadhyay, Aditi; Peralta, Pedro.

Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008. Vol. 2 2008. p. 297-304.

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

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. vol. 2, pp. 297-304, ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008, Ellicott City, MD, United States, 10/28/08. https://doi.org/10.1115/SMASIS2008-646
Mohanty S, Chattopadhyay A, Peralta P. On-line life prediction of a structural hotspot. In Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008. Vol. 2. 2008. p. 297-304 https://doi.org/10.1115/SMASIS2008-646
Mohanty, Subhasish ; Chattopadhyay, Aditi ; Peralta, Pedro. / On-line life prediction of a structural hotspot. Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008. Vol. 2 2008. pp. 297-304
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