Measurement of Damping in Structures by the Power Input Method

Bloss, Brandon; Rao, Mohan D.

doi:10.1111/j.1747-1567.2002.tb00066.x

Cited by 27 publications

(16 citation statements)

References 4 publications

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“…It has been seen that the values obtained from the actual FE simulation for plates joined by a single weld combinations (13,14,15,16) are higher as compared to the SEAL predicted values. In such cases, the ends of the plates away from the spotweld have large amplitudes vibrations that are limited in practical conditions during the experimental test, as compared to the finite element simulations.…”

Section: Joint Damage Detectionmentioning

confidence: 83%

Detection of Damage in Spot Welded Joints Using \protect\cbox{a} Statistical Energy Analysis-like Approach

Pankaj¹,

Shivaprasad²,

Murigendrappa³

2017

IJAV

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Vibration-based damage detection has been frequently used for low frequency problems. However, there are situations where the damage, like connections of structures with spot welds, mainly affects the highest modes. Energybased approaches such as Statistical Energy Analysis (SEA) is one of the most widely used methods for high frequency analysis that is well-suited for periodic structures. The present work studies the damage detection of joints based on statistical energy analysis-like principles using apparent coupling factors to predict velocity/acceleration responses and detect damage in the spot welds located at various positions on a sub-system (spot-welded plate configurations). Apparent coupling factors have been derived for four cases of spot-welded plates and used further to predict the velocity/acceleration responses using the statistical energy analysis like (SEAL) approach for an assembly of three subsystems (three plates lap joined by spot-welds) for all the possible combinations. The results are discussed, compared, and validated by experimentation and finite element simulations for a healthy and damaged configuration. A database of the predicted values using the SEAL approach for the remaining combinations has been compared with values obtained from finite element simulations. The proposed SEAL-based approach can be effectively applied as a simulation tool to locate the damaged joint in an assembly of subsystems for future use.

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Section: Joint Damage Detectionmentioning

confidence: 83%

Detection of Damage in Spot Welded Joints Using \protect\cbox{a} Statistical Energy Analysis-like Approach

Pankaj¹,

Shivaprasad²,

Murigendrappa³

2017

IJAV

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“…And when calculating , three assumptions should be considered [7]. 1) The strain energy is replaced as twice as the kinetic energy:…”

Section: Power Input Methodsmentioning

confidence: 99%

“…His studies consist of three parts: numerical investigation [3]; experimental investigation with impact hammer excitation [4]; experimental investigation with shaker excitation [5,6]. In order to measure the damping characteristics of a vehicle side glass quickly and accurately, a practical application of PIM is presented by B. Bloss [7]. K. De Launghe discusses the process of obtain SEA parameters and the influence of the chosen excitation and response points during PIM measurement [8].…”

Section: Introductionmentioning

confidence: 99%

Estimation of statistical energy analysis loss factor for fiber reinforced plastics plate of yachts

Cai¹,

Yu²,

Liang³

et al. 2016

J. vibroeng.

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Loss factor is one of the most significant parameters of Statistical Energy Analysis (SEA) which represents the damping loss characteristics of a system and indicates the ability of its vibration energy consumption. In order to estimate it, the power input method (PIM) and the impulse response decay method (IRDM) have become widely used especially when the object of study is made of Fiber Reinforced Plastics (FRP) of which dynamic interaction is really complicated. Numerical simulation is also applied to analyze the loss factor of the spring-damping-system with single degree of freedom (SDOF) using MATLAB to introduce the identification procedure of PIM and IRDM. With the comparison of the methods, the analytical study indicates these techniques are effective for the estimation of loss factor. This paper focuses on an experimental approach to get the SEA loss factor of FRP plate and the test investigations are performed in detail. The requirements and limitations of each method applied are discussed and PIM is a better solution dealing with this kind of the composite material. The loss factor of test specimen is obtained to provide a valuable reference for the prediction and control of vibration and noise of yachts with SEA.

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“…In this section, two different models with three degree of freedom are simulated for two cases of stiffness and dampers [18][19][20][21]. The governing equations are derived and they are represented in the matrix form.…”

Section: Analytical Modelmentioning

confidence: 99%

“…The power input method requires few numbers of steps than the experimental Statistical Energy Analysis. The loss factors obtained from the power input method can be used in SEA to predict the vibration and for any parametric studies [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%