A Comparison Between Power Injection and Impulse Response Decay Methods for Estimating Frequency Averaged Loss Factors for SEA

Bloss, Brandon; Rao, Mohan D.

doi:10.4271/2003-01-1566

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…The measurement of the initial slope of the decay of linear system subject to initial excitations needs to be tested to apply IRDM [22]. For this system subjected to zero initial displacement and velocity, the loss factor could be estimated by two main steps: 1) Get the Hilbert transformation of the impulse response.…”

Section: Impulse Response Decay Methodsmentioning

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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Section: Impulse Response Decay Methodsmentioning

confidence: 99%

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

Cai¹,

Yu²,

Liang³

et al. 2016

J. vibroeng.

View full text Add to dashboard Cite

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A Modification of the Monte Carlo Filtering Approach for Correcting Negative SEA Loss Factors

Nieradka

Dobrucki

2022

Acoustics

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Monte Carlo Filtering (MCF) is one of the methods of Experimental Statistical Energy Analysis (E-SEA), which allows the correction of negative LFs (Loss Factors). In this article, a modification of the MCF method, called DESA (Diagonal Expansion of the Search Area), is proposed. The technique applies a non-uniform extension of the search area when generating a population of normalized energy matrices. The degree of expansion of the search area is controlled by the Diagonal Penalty Factor (DPF). The authors demonstrated the method’s effectiveness on a system that could not be identified in several frequency bands by the classical MCF method. After applying DESA, it was possible to fill in the problematic bands that were missing CLF (coupling loss factor) and DLF (damping loss factor) values. The paper also proposes a way to minimize the errors introduced by using overly high DPF values.

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Measuring Damping Loss Factors of High Performance LASD Coatings

Pelinescu

Christie²

2011

SAE Technical Paper Series

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A Comparison Between Power Injection and Impulse Response Decay Methods for Estimating Frequency Averaged Loss Factors for SEA

Cited by 4 publications

References 2 publications

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

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

A Modification of the Monte Carlo Filtering Approach for Correcting Negative SEA Loss Factors

Measuring Damping Loss Factors of High Performance LASD Coatings

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