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

Chandresh Dubey; Vikram Kapila

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

Mechanical and Aerospace Engineering

Research output: Contribution to conference › Paper › peer-review

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 language	English (US)
Pages	89-96
Number of pages	8
State	Published - Jan 1 2019
Event	4th International Conference on Chaotic Modeling and Simulation, CHAOS 2011 - Agios Nikolaos, Crete, Greece Duration: May 31 2011 → Jun 3 2011

Conference

Conference	4th International Conference on Chaotic Modeling and Simulation, CHAOS 2011
Country/Territory	Greece
City	Agios Nikolaos, Crete
Period	5/31/11 → 6/3/11

Keywords

Chaotic excitation
Duffing oscillator
Skewness
Standard deviation

ASJC Scopus subject areas

Modeling and Simulation

Cite this

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title = "Detection and characterization of cracks in beams via chaotic excitation and statistical analysis",

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.",

keywords = "Chaotic excitation, Duffing oscillator, Skewness, Standard deviation",

author = "Chandresh Dubey and Vikram Kapila",

note = "Publisher Copyright: {\textcopyright} 2019 CHAOS 2011 - 4th Chaotic Modeling and Simulation International Conference, Proceedings. All rights reserved.; 4th International Conference on Chaotic Modeling and Simulation, CHAOS 2011 ; Conference date: 31-05-2011 Through 03-06-2011",

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AU - Dubey, Chandresh

AU - Kapila, Vikram

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Chaotic excitation

KW - Duffing oscillator

KW - Skewness

KW - Standard deviation

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T2 - 4th International Conference on Chaotic Modeling and Simulation, CHAOS 2011

Y2 - 31 May 2011 through 3 June 2011

ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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