On-line time-series damage state estimation using correlation analysis and ultrasonic broadband active sensing

Subhasish Mohanty, Jun Wei, Aditi Chattopadhyay, Pedro Peralta

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

Abstract

This paper proposes an approach to estimate the fatigue-induced damage state of a metallic structure under biaxial cyclic load. An ultrasonic based technique for broadband active sensing is used. A novel damage index estimation technique based on dual sensor signals is developed that removes the contribution from high frequency input dependant noise. The scalar damage index at any particular damage condition is evaluated using a nonparametric system identification approach such as correlation analysis. The time series estimation of the damage indices (or damage states) shows good correlation with visual measurements of crack length. The time series 2σ error bound was also evaluated to study the effect of measurement noise on damage state estimation.

Original languageEnglish (US)
Title of host publicationProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems 2009, SMASIS2009
Pages581-588
Number of pages8
DOIs
StatePublished - Dec 1 2009
Event2009 ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2009 - Oxnard, CA, United States
Duration: Sep 21 2009Sep 23 2009

Publication series

NameProceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems 2009, SMASIS2009
Volume2

Other

Other2009 ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2009
CountryUnited States
CityOxnard, CA
Period9/21/099/23/09

ASJC Scopus subject areas

  • Computational Mechanics
  • Mechanics of Materials

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