Prediction of fatigue damage and residual useful life for composite structures using passive sensing

Y. Liu, S. Mohanty, Aditi Chattopadhyay

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

1 Scopus citations

Abstract

This paper presents a new prognosis model and experimental validation of a real-time health monitoring and residual useful life (RUL) prediction for composite structures. On-line damage states are estimated with real-time sensing information and are fed to an off-line predictive model to update future damage states and RUL. A new damage index is defined to quantify the quantitative damage state information at any particular fatigue cycle. The prognosis model is capable of estimating the cumulative fatigue damage in composite test structures under constant amplitude loading and estimating the RUL. The uniaxial tensile loading fatigue tests are followed by biaxial loading tests with a MTS biaxial tension/torsion test frame. Numerical validations demonstrate that the predictive capability of the prognosis algorithm is effective in predicting the RUL even under complex stress states.

Original languageEnglish (US)
Title of host publicationStructural Health Monitoring 2009
Subtitle of host publicationFrom System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
EditorsFu-Kuo Chang
PublisherDEStech Publications
Pages1463-1470
Number of pages8
ISBN (Electronic)9781605950075
StatePublished - 2009
Event7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009 - Stanford, United States
Duration: Sep 9 2009Sep 11 2009

Publication series

NameStructural Health Monitoring 2009: From System Integration to Autonomous Systems - Proceedings of the 7th International Workshop on Structural Health Monitoring, IWSHM 2009
Volume2

Other

Other7th International Workshop on Structural Health Monitoring: From System Integration to Autonomous Systems, IWSHM 2009
CountryUnited States
CityStanford
Period9/9/099/11/09

ASJC Scopus subject areas

  • Health Information Management
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Prediction of fatigue damage and residual useful life for composite structures using passive sensing'. Together they form a unique fingerprint.

Cite this