New Method of Uncertainty Evaluation of the Sound Insulation of Partitions

Batko, W.; Pawlik, Paweł

doi:10.12693/aphyspola.123.1012

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…This approach has been successfully ap plied, among other things, to real-time analysis of acoustic signal (Heiss, Krapf, 2007). The interval arithmetic finds application in modelling the railway noise (Batko, Pawlik, 2012a) and in determination of other acoustic parameters such as reverberation time of rooms (Batko, Pawlik, 2012b) and partitions sound insulation (Batko, Pawlik, 2013a) and its un certainty (Batko, Pawlik, 2013b). However, interval estimation algorithms based on bootstrap resampling method are used in the analysis of long-term noise in dicators (Stępień, 2016).…”

Section: A P O I N T E S T Im a T Io N O F N O Is E In D Ic A T O R Smentioning

confidence: 99%

“…Therefore, the random variable Z given by the Eq. (1) can be replaced with the random variable (Koronacki, Mielniczuk, 2004) x -p T : S/y/n t n (4) This idea is not only natural but appropriate as well because the distribution of the random variable T does not depend on the unknown parameter a and is known. Namely, it is a so-called t-distribution (also called Stu dent's distribution or Student's t-distribution) with n -1 degrees of freedom.…”

Section: N O N -P a R A M E T R Ic M O D E L ( K E R N E L M O D E L)mentioning

confidence: 99%

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Confidence Intervals for the Long-Term Noise Indicators Using the Kernel Density Estimator

Stępień¹

2016

Archives of Acoustics

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A non-classical m odel of interval estim ation based on th e kernel density estim ato r is presented in th is paper. T h is m odel has been com pared w ith interval estim ation algorithm s of th e classical (param etric) sta tistics assuming th a t th e sta n d ard deviation of th e population is either known or unknown. T he non-classical m odel does not have to assum e belonging of random sam ple to a norm al distribution. A theoretical basis of the proposed model is presented as well as an exam ple of calculation process which makes possible determ ining confidence intervals of th e expected value of long-term noise indicators Aden and LN. T he statistical analysis was carried o ut for 95% interval w idths obtained by using each of these models.

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Section: A P O I N T E S T Im a T Io N O F N O Is E In D Ic A T O R Smentioning

confidence: 99%

Section: N O N -P a R A M E T R Ic M O D E L ( K E R N E L M O D E L)mentioning

confidence: 99%

Confidence Intervals for the Long-Term Noise Indicators Using the Kernel Density Estimator

Stępień¹

2016

Archives of Acoustics

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“…These standards also include requirements for reverberation rooms. The main requirement which is the assumption of the method is the existence of diffuse sound field in the room, and the accuracy of the results is strictly dependent on the degree of dispersion (Batko, Pawlik, 2013). It is assumed that in the reverberation room there is a diffusion field which is characterised by spatial homogeneity of acoustic energy density and reverberation time in the entire acoustic field.…”

Section: Introductionmentioning

confidence: 99%

Archives of Acoustics

Mleczko¹,

Wszołek²

2019

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The main problem in the measurement of airborne sound insulation is the measurement of the sound power radiated by the barrier, in practice performed by measuring the sound pressure level and the acoustic absorption in the receiving room. Large variations of the sound pressure level in a reverberation room indicate the presence of dominating strong standing waves, so that it becomes necessary to install diffusing elements. In ISO 10140, the limits have been defined in which the reverberation time at frequencies at and above 100 Hz should be included. Sometimes, however, in the case of rooms with a large volume, obtaining the required parameters is difficult and sometimes even impossible. It should then be checked whether the measured sound insulation depends on the reverberation time.The paper presents the results of sound insulation measurements at various reverberation time lengths in subsequent stages of diffusing elements installation in the receiving room. An analysis of diffusing materials amount and arrangement influence on the uniformity of the sound pressure level distribution and reverberation time in the room as well as the value of the measured sound insulation was carried out. Uncertainty of sound insulation measurement with partial uncertainties was adopted as a criterion supporting the assessment of the obtained results.

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“…Reynders [6] uses the maximum entropy principle to compute confidence intervals for the TL of walls between two uncertain rooms, where the probability densities and cross-correlations of the considered parameters are known. Batko and Pawlik [7] use a method derived from interval arithmetics to estimate variability intervals for the same kind of constructions. Regarding industrial structures, a stochastic boundary element method (BEM) has been proposed by D'Amico et al [8,9] to estimate the variability of noise radiation by structures with geometric uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Global sensitivity analysis of analytical vibroacoustic transmission models

Christen

Ichchou

Troclet

et al. 2016

Journal of Sound and Vibration

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International audienceNoise reduction issues arise in many engineering problems. One typical vibroacoustic problem is the transmission loss (TL) optimisation and control. The TL depends mainly on the mechanical parameters of the considered media. At early stages of the design, such parameters are not well known. Decision making tools are therefore needed to tackle this issue. In this paper, we consider the use of the Fourier Amplitude Sensitivity Test (FAST) for the analysis of the impact of mechanical parameters on features of interest. FAST is implemented with several structural configurations. FAST method is used to estimate the relative influence of the model parameters while assuming some uncertainty or variability on their values. The method others a way to synthesize the results of a multiparametric analysis with large variability. Results are presented for transmission loss of isotropic, orthotropic and sandwich plates excited by a diffuse field on one side. Qualitative trends found agree with the physical expectation. Design rules can then be set up for vibroacoustic indicators. The case of a sandwich plate is taken as an example of the use of this method inside an optimisation process and for uncertainty quantification

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New Method of Uncertainty Evaluation of the Sound Insulation of Partitions

Cited by 7 publications

References 3 publications

Confidence Intervals for the Long-Term Noise Indicators Using the Kernel Density Estimator

Confidence Intervals for the Long-Term Noise Indicators Using the Kernel Density Estimator

Archives of Acoustics

Global sensitivity analysis of analytical vibroacoustic transmission models

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