Detection and characterization of cracks in beams via chaotic excitation and statistical analysis

Chandresh Dubey, Vikram Kapila

Research output: Contribution to conferencePaper

Abstract

A chaotic signal is used to excite a cracked beam and statistical properties of the resulting time series of beam response are analyzed to detect and characterize the crack. For a single degree of freedom (SDOF) approximation of the beam with opening and closing crack, standard deviation, skewness, and kurtosis of are shown to be strongly influenced by crack properties. For a finite element model of a cracked cantilever beam, standard deviation and kurtosis are shown to yield information about the location and severity of crack. Simulation results are experimentally validated.

Original languageEnglish (US)
Pages89-96
Number of pages8
Publication statusPublished - Jan 1 2019
Event4th International Conference on Chaotic Modeling and Simulation, CHAOS 2011 - Agios Nikolaos, Crete, Greece
Duration: May 31 2011Jun 3 2011

Conference

Conference4th International Conference on Chaotic Modeling and Simulation, CHAOS 2011
CountryGreece
CityAgios Nikolaos, Crete
Period5/31/116/3/11

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Keywords

  • Chaotic excitation
  • Duffing oscillator
  • Skewness
  • Standard deviation

ASJC Scopus subject areas

  • Modeling and Simulation

Cite this

Dubey, C., & Kapila, V. (2019). Detection and characterization of cracks in beams via chaotic excitation and statistical analysis. 89-96. Paper presented at 4th International Conference on Chaotic Modeling and Simulation, CHAOS 2011, Agios Nikolaos, Crete, Greece.