Underlying modal data issues for detecting damage in truss structures

Kashangaki, Thomas A. L.; Smith, Suzanne; Lim, Tae W.

doi:10.2514/6.1992-2264

Cited by 30 publications

(9 citation statements)

References 7 publications

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“…This body of data from the DSMT test has been widely disseminated and used for many different damage-detection studies. Kashangaki, et al (1992) use the DSMT data in their examination of some issues inherent in the use of modal data for detecting damage in truss structures. They conclude that damage detection is feasible for members that contribute significantly to the strain energy of the measured modes.…”

Section: Trussesmentioning

confidence: 99%

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

Doebling¹,

Farrar²,

Prime³

et al. 1996

2,213

1,394

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Section: Trussesmentioning

confidence: 99%

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

Doebling¹,

Farrar²,

Prime³

et al. 1996

2,213

1,394

View full text Add to dashboard Cite

“…w(x, w) = wrpe + wree + wipe' + wlee (2) where Iv = ./A2/EI. The solution at each frequency is a combination of two propagating and two near field, or evanescent, waves.…”

Section: Wave Modelmentioning

confidence: 99%

<title>Near-field effects of damage</title>

Purekar

Pines

2001

SPIE Proceedings

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The effects of crack damage on the vibrations of a beam is examined using wave propagation methods. A scattering matrix is developed which explores the relationship between incoming and outgoing structural waves at a crack. Near field waves are examined as an indicator of crack damage. Trends can be seen which would be helpful in determining the presence of a crack in a damage detection scheme. Experimental results show that near field waves increase as a result of crack damage.

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“…Kashangaki et al 25 found out that the damage detection is feasible for truss members that contribute significantly to the strain energy of measured modes and also depends upon the accuracy of the measured modes and frequencies. Usually 5% measurement errors should be expected and this severely hinders damage identification.…”

Section: Damage Detection With Limited Number Of Measurementsmentioning

confidence: 99%

Locating structural damage in real time using contrast maximization - Analysis and experiments

Juneja

Haftka

Cudney

1996

Dynamics Specialists Conference

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TRUSS 3.1 Effect of Damage on Natural Frequencies 3.2 Damage Detection with Active Members v 3.3 Damage Detection with Shakers/Sensors 4 NUMERICAL SIMULATIONS ON LABORATORY TRUSS 4.1 Finite Element Model of the Truss 4.2 Effect of Damage on Natural Frequencies 4.3 Measuring Structural Response 4.4 Damage Detection with No Errors 4.4.1 Damage in Member 4-Numerical 4.4.2 20% Damage in a Member 4.4.3 45% Damage in a Member 4.4.4 75% Damage in a Member 4.5 Damage Identification in the Presence of Errors 4.5.1 20% Damage with Noise in Receptance Matrix 4.5.2 45% Damage with Noise in Receptance Matrix 4.5.3 45% Damage with Noise in Natural Frequencies 4.5.4 20% Damage with Noise in Natural Frequencies and Receptance Matrix 4.5.5 45% Damage with Noise in Natural Frequencies and Receptance Matrix 4.6 Establishing Relationship between R, E and R o 4.7 Classification of Members in Groups 4.8 Prediction of Damage Detectability 4.9 Increasing Ability to Locate Damage 4.

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Underlying modal data issues for detecting damage in truss structures

Cited by 30 publications

References 7 publications

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review

<title>Near-field effects of damage</title>

Locating structural damage in real time using contrast maximization - Analysis and experiments

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