Non-destructive Quality Test of Adhesive Joints by Means of Resonance Measurements

Kanamaru, Kisou; Ikari, Kyoichiro; Kishimoto, Tadashi; Fukada, Eiichi

doi:10.1246/nikkashi1898.63.11_2027

Cited by 3 publications

(4 citation statements)

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“…Now, using equation (9), we will search for [Z Δ ] that will update structure A to structure X. To this end, assuming that updated structure is vibrating at w xr w 2 xr ¼ l xr À Á resonance frequency, equation (9) can be written as:…”

Section: Modal Based Adaptive Direct Methodsmentioning

confidence: 99%

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Identification of Dynamic (Young’s and Shear) Moduli of a Structural Adhesive Using Modal Based Direct Model Updating Method

Jahani

Nobari

2008

Exp Mech

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In this paper, mechanical characteristics (Young's modulus and shear modulus) of an adhesive are identified using modal based direct model updating method and experimental modal data. The results show that both Young's and shear moduli of adhesive are frequency dependent. Also, it is demonstrated that the thickness and length of the adhesive-line have influence on these properties. All experiments and subsequent identifications are conducted both in bending and shear modes, and it has been shown that the shear modulus of adhesive is more sensitive to length and thickness variations. The repeatability and consistency of method is proved through repeating the process several times and with different adherends.

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Section: Modal Based Adaptive Direct Methodsmentioning

confidence: 99%

“…b) Methods based on resonance testing [2,[9][10][11]. These methods are more suitable for the determination of the dynamic Young's and shear moduli, nevertheless, they can also be used for the determination of static (low frequency) moduli if the test method and specimens of adherend are selected properly.…”

Section: Introductionmentioning

confidence: 99%

Identification of Dynamic (Young’s and Shear) Moduli of a Structural Adhesive Using Modal Based Direct Model Updating Method

Jahani

Nobari

2008

Exp Mech

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“…Identification of dynamic characteristics of adhesives has been a subject of extensive research and many valuable publications can be cited in this respect [1][2][3][4][5][6][7]. All of the techniques used in identification process are prone to some sort of numerical ill-condition if the joint under investigation is very stiff.…”

Section: Introductionmentioning

confidence: 99%

Identification of Damping and Dynamic Young’s Modulus of a Structural Adhesive Using Radial Basis Function Neural Networks and Modal Data

Jahani

Nobari

2009

Exp Mech

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In this paper, the radial basis function neural networks (RBFNN) was applied to the problem of identifying dynamic Young's modulus and damping characteristic of a structural adhesive, using modal data. To identify Young's modulus from undamped model, an appropriate RBFNN using modal data (mode shape and natural frequency) in each mode is developed. Based on a previous work, in order to identify loss factor, two approaches adopted in the identification process. In the first one, a two stage RBFNN is developed. In stage I, Young's modulus is identified from undamped model and in stage II using the results of stage I an appropriate RBFNN is developed in each mode for identification of loss factor by implementing real parts of eigenvalues of damped model. In the second approach, a one stage RBFNN is developed using real and imaginary parts of eigenvalues of damped model to identify Young's moduli and loss factors simultaneously. The repeatability and consistency of the method is proved by repeating the identification process for several times. The validity of results is proved by comparing the results with those identified in a previous work.

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“…In the proposed method, the contribution of the adherent is already isolated and will not get involved in the identification process. c-Methods based on resonance testing [14][15][16][17]. These methods are more suitable for the determination of the dynamic Young's and shear moduli, nevertheless, they can also be used for the determination of static (low frequency) moduli if the test method and specimens of adherents are selected properly.…”

mentioning

confidence: 99%

Identification of the dynamic characteristics of a viscoelastic, nonlinear adhesive joint

Naraghi

Nobari

2015

Journal of Sound and Vibration

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Non-destructive Quality Test of Adhesive Joints by Means of Resonance Measurements

Cited by 3 publications

References 0 publications

Identification of Dynamic (Young’s and Shear) Moduli of a Structural Adhesive Using Modal Based Direct Model Updating Method

Identification of Dynamic (Young’s and Shear) Moduli of a Structural Adhesive Using Modal Based Direct Model Updating Method

Identification of Damping and Dynamic Young’s Modulus of a Structural Adhesive Using Radial Basis Function Neural Networks and Modal Data

Identification of the dynamic characteristics of a viscoelastic, nonlinear adhesive joint

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