On-line structural health monitoring and prognosis of a biaxial cruciform specimen

Subhasish Mohanty, Aditi Chattopadhyay, Jun Wei, Pedro Peralta

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

1 Scopus citations

Abstract

The current research of on-line damage state estimation techniques offers adaptive damage state prediction and residual useful life assessment. The real-time damage state information from an on-line state estimation model can be regularly fed to a predictive model to update the residual useful life estimation in the event of a changing situation. The present paper discusses the use of an integrated prognosis model, which combines an on-line state estimation model with an off-line predictive model to adaptively estimate the residual useful life of an Al-6061 cruciform specimen under biaxial loading. The overall fatigue loading history is assumed to be a slow time scale process compared to the time scale at which, the sensor signals are acquired for on-line state estimation. The fast scale on-line model is based on a non-parametric system identification approach such as correlation analysis. A new damage index equivalent to quantitative damage state information at any particular fatigue cycle, is proposed. The on-line model regularly estimates the current damage state of the structure based on passive strain gauge signals. These damage states information is regularly fed to the slow scale off-line predictive model as it becomes available. The off-line predictive model is a probabilistic nonlinear regression model, which is based on Bayesian statistics based Gaussian process approach. The off-line module adaptively updates the model parameters and recursively predicts the future states to provide residual useful life estimate.

Original languageEnglish (US)
Title of host publication50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
StatePublished - Dec 1 2009
Event50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference - Palm Springs, CA, United States
Duration: May 4 2009May 7 2009

Publication series

NameCollection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
ISSN (Print)0273-4508

Other

Other50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference
CountryUnited States
CityPalm Springs, CA
Period5/4/095/7/09

ASJC Scopus subject areas

  • Architecture
  • Materials Science(all)
  • Aerospace Engineering
  • Mechanics of Materials
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'On-line structural health monitoring and prognosis of a biaxial cruciform specimen'. Together they form a unique fingerprint.

  • Cite this

    Mohanty, S., Chattopadhyay, A., Wei, J., & Peralta, P. (2009). On-line structural health monitoring and prognosis of a biaxial cruciform specimen. In 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference [2009-2305] (Collection of Technical Papers - AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference).