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Artykuły w czasopismach na temat „Statistical energy analysis”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Le Bot, Alain. "Entropy in statistical energy analysis." Journal of the Acoustical Society of America 125, no. 3 (2009): 1473–78. http://dx.doi.org/10.1121/1.3075613.

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2

Mutani, Guglielmina, Silvia Santantonio, and Angelo Tartaglia. "Statistical Data Analysis for Energy Communities." TECNICA ITALIANA-Italian Journal of Engineering Science 64, no. 2-4 (2020): 385–97. http://dx.doi.org/10.18280/ti-ijes.642-438.

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3

Burroughs, Courtney B., Raymond W. Fischer, and Fred R. Kern. "An introduction to statistical energy analysis." Journal of the Acoustical Society of America 101, no. 4 (1997): 1779–89. http://dx.doi.org/10.1121/1.418074.

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4

Lu, L. "Statistical Energy Analysis for Electronic Equipment." Journal of Electronic Packaging 113, no. 3 (1991): 322–25. http://dx.doi.org/10.1115/1.2905413.

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Vibration response of electronic equipment analyzed by a simple mathematical model or a finite element model can only provide a limited system response calculation. Application of the Statistical Energy Analysis (SEA) was extended to the calculation of the vibrations of individual components. In order to demonstrate the applicability of SEA to instrumentation vibration analysis at high frequency ranges, an 8-component electronic box was chosen for test and analysis. There was good agreement between tested and analytical results in the frequency averaged sense.

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5

Lyon, Richard H. "Statistical energy analysis and structural fuzzy." Journal of the Acoustical Society of America 97, no. 5 (1995): 2878–81. http://dx.doi.org/10.1121/1.411854.

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6

Li, H., N. Totaro, L. Maxit, and A. Le Bot. "Ergodic billiard and statistical energy analysis." Wave Motion 87 (April 2019): 166–78. http://dx.doi.org/10.1016/j.wavemoti.2018.08.011.

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7

Le Bot, A., and V. Cotoni. "Validity diagrams of statistical energy analysis." Journal of Sound and Vibration 329, no. 2 (2010): 221–35. http://dx.doi.org/10.1016/j.jsv.2009.09.008.

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8

Ang, B. W. "A statistical analysis of energy coefficients." Energy Economics 13, no. 2 (1991): 93–110. http://dx.doi.org/10.1016/0140-9883(91)90041-w.

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9

Moeller, Mark J. "Visualization of statistical energy analysis results." Journal of the Acoustical Society of America 95, no. 5 (1994): 2900. http://dx.doi.org/10.1121/1.409318.

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10

Keane, A. J. "Statistical energy analysis of offshore structures." Engineering Structures 16, no. 2 (1994): 145–57. http://dx.doi.org/10.1016/0141-0296(94)90039-6.

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11

SUZUKI, Yuta, Masaya MATSUNAGA, Hiroki NAKAMURA, Yoshiaki ITOH, Toshimitsu TANAKA, and Toru YAMAZAKI. "Vibration energy propagation analysis of shamisen by experiment statistical energy analysis." Proceedings of the Dynamics & Design Conference 2017 (2017): 403. http://dx.doi.org/10.1299/jsmedmc.2017.403.

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12

Bernstein, Dennis S. "Thermodynamic energy flow, modal models, and statistical energy analysis." Journal of the Acoustical Society of America 99, no. 4 (1996): 2599–603. http://dx.doi.org/10.1121/1.415299.

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13

Mace, B. "Statistical energy analysis, energy distribution models and system modes." Journal of Sound and Vibration 264, no. 2 (2003): 391–409. http://dx.doi.org/10.1016/s0022-460x(02)01201-4.

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14

Maidanik, G., and K. J. Becker. "Are the energy analysis (EA) and the statistical energy analysis (SEA) compatible?" Journal of the Acoustical Society of America 114, no. 4 (2003): 2419. http://dx.doi.org/10.1121/1.4778682.

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15

Li, He, Quan Feng Liu, and Bang Chun Wen. "Vibration Transient Response Using Statistical Energy Analysis." Applied Mechanics and Materials 55-57 (May 2011): 941–44. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.941.

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Transient Statistic Energy Analysis (T. S. E. A.) for transient response of a vibration system is investigated in this paper. Mathematical expressions of the rise time and the peak energy were derived. Numerical modeling of the system was also made. It showed that the peak energy decrease as the internal loss factor and the coupling stiffness decrease, the rise time decease as the internal loss factor and the coupling loss factor increase. It was found that the results of TSEA and the traditional methods are identical.

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16

Maidanik, G., and J. Dickey. "Rudimentary statistical energy analysis and structural fuzzies." Journal of the Acoustical Society of America 103, no. 5 (1998): 2978. http://dx.doi.org/10.1121/1.422426.

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17

KAMATA, Minoru, Toru YAMAZAKI, Hideaki ISHIBASHI, and Kazuhito MISAJI. "Study on Subdivision in Statistical Energy Analysis." Transactions of the Japan Society of Mechanical Engineers Series C 68, no. 665 (2002): 228–34. http://dx.doi.org/10.1299/kikaic.68.228.

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18

Lafont, T., N. Totaro, and A. Le Bot. "Coupling strength assumption in statistical energy analysis." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 473, no. 2200 (2017): 20160927. http://dx.doi.org/10.1098/rspa.2016.0927.

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This paper is a discussion of the hypothesis of weak coupling in statistical energy analysis (SEA). The examples of coupled oscillators and statistical ensembles of coupled plates excited by broadband random forces are discussed. In each case, a reference calculation is compared with the SEA calculation. First, it is shown that the main SEA relation, the coupling power proportionality, is always valid for two oscillators irrespective of the coupling strength. But the case of three subsystems, consisting of oscillators or ensembles of plates, indicates that the coupling power proportionality fa

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19

Maidanik, G. "Some concepts in the statistical energy analysis." Journal of the Acoustical Society of America 80, S1 (1986): S127. http://dx.doi.org/10.1121/1.2023648.

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20

Spelman, G. M., and R. S. Langley. "Statistical energy analysis of nonlinear vibrating systems." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, no. 2051 (2015): 20140403. http://dx.doi.org/10.1098/rsta.2014.0403.

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Nonlinearities in practical systems can arise in contacts between components, possibly from friction or impacts. However, it is also known that quadratic and cubic nonlinearity can occur in the stiffness of structural elements undergoing large amplitude vibration, without the need for local contacts. Nonlinearity due purely to large amplitude vibration can then result in significant energy being found in frequency bands other than those being driven by external forces. To analyse this phenomenon, a method is developed here in which the response of the structure in the frequency domain is divid

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21

Díaz-Cereceda, Cristina, Jordi Poblet-Puig, and Antonio Rodríguez-Ferran. "Automatic subsystem identification in statistical energy analysis." Mechanical Systems and Signal Processing 54-55 (March 2015): 182–94. http://dx.doi.org/10.1016/j.ymssp.2014.09.003.

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22

GUJ, G., and R. CAMUSSI. "Statistical analysis of local turbulent energy fluctuations." Journal of Fluid Mechanics 382 (March 10, 1999): 1–26. http://dx.doi.org/10.1017/s0022112098003553.

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Time–frequency energy fluctuations of turbulent experimental velocity signals for Reλ≃10 and 800, are analysed using orthogonal wavelet transform. Some statistical properties of the energy bursts are analysed and discussed. The probability distribution functions (PDFs) of the energy amplitude fluctuations are investigated at different scales. Such PDFs show that the so-called non-intermittent and intermittent regions are characterized by quite different behaviour. Analysis of the wavelet coefficient scaling relations, averaged under suitable conditioning, reveals that the most energetic events

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23

Watts, David, and Danilo Jara. "Statistical analysis of wind energy in Chile." Renewable Energy 36, no. 5 (2011): 1603–13. http://dx.doi.org/10.1016/j.renene.2010.10.005.

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24

Wilhelm, HE. "Quantum-statistical Analysis of Low Energy Sputtering." Australian Journal of Physics 38, no. 2 (1985): 125. http://dx.doi.org/10.1071/ph850125.

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Low energy surface sputtering of polycrystalline metals is explained theoretically by means of a three-body sputtering mechanism involving the impinging ion and two metal atoms. By means of quantum-statistical methods, a formula for the number S(E) of atoms sputtered on the average by an ion of energy E is derived from first principles. The theory agrees with experimental sputtering data in the low energy region above the threshold. As an application, mercury-metal atom scattering cross sections are determined by quantitative comparison of the theoretical and experimental S(E) values for sputt

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25

Lu, Leo K. H. "Optimum Damping Selection by Statistical Energy Analysis." Journal of Vibration and Acoustics 112, no. 1 (1990): 16–20. http://dx.doi.org/10.1115/1.2930090.

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It is widely accepted that for mitigating the vibration developed in structures, damping should be applied to the components with the largest response and be added at locations in the components’ energy transmission paths. However, it is difficult to determine the optimum damping location for some complicated dynamic systems. In this paper, the SEA concept is used to prove mathematically the reason for damping application and also to provide a convenient procedure for selecting the location of the damping treatment.

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26

Keane, A. J., and W. G. Price. "Statistical energy analysis of strongly coupled systems." Journal of Sound and Vibration 117, no. 2 (1987): 363–86. http://dx.doi.org/10.1016/0022-460x(87)90545-1.

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27

RENJI, K., P. S. NAIR, and S. NARAYANAN. "NON-RESONANT RESPONSE USING STATISTICAL ENERGY ANALYSIS." Journal of Sound and Vibration 241, no. 2 (2001): 253–70. http://dx.doi.org/10.1006/jsvi.2000.3270.

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28

Chung, Bum-Jin, and Kyung-Min Ko. "Aging of Korean Nuclear Manpower and Implications of Manpower Policy: Statistical Analysis on Nuclear Organizations." Journal of Energy Engineering 21, no. 1 (2012): 1–17. http://dx.doi.org/10.5855/energy.2012.21.1.001.

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29

Guasch, Oriol, and Àngels Aragonès. "Finding the dominant energy transmission paths in statistical energy analysis." Journal of Sound and Vibration 330, no. 10 (2011): 2325–38. http://dx.doi.org/10.1016/j.jsv.2010.11.021.

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30

Dowell, E. H., and Y. Kubota. "Asymptotic Modal Analysis and Statistical Energy Analysis of Dynamical Systems." Journal of Applied Mechanics 52, no. 4 (1985): 949–57. http://dx.doi.org/10.1115/1.3169174.

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A new derivation of the results commonly referred to as Statistical Energy Analysis (SEA) is given by studying the asymptotic behavior of classical modal analysis for a general, linear (structural) system. It is shown that, asymptotically, the response at (almost) all points of the system is the same. A numerical example is used to illustrate the way in which the asymptotic limit is approached. Both random and sinusoidal loadings are considered; for the latter an extension of the usual SEA result is obtained.

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31

Zhang, Xiao Feng, You Gang Xiao, Yu Shi, and Wu Yang Zeng. "Statistical Energy Analysis of Subway Wheel/Track Noise." Applied Mechanics and Materials 423-426 (September 2013): 1563–66. http://dx.doi.org/10.4028/www.scientific.net/amm.423-426.1563.

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Dividing wheel-track system of subway into a series of sub-systems, the statistical energy analysis (SEA) model of wheel/track system is established. The factors affecting the wheel/track noise, such as modal density, damping loss factors, coupling loss factors, are gotten by theoretical analysis combined with experiments. The calculated results show that the track noise is about 4.5 dB(A) higher than the wheel noise at 160 km/h, and the wheel noise is reduced by 2.8 dB(A) at 160 km/h and by 2.3 dB(A) at 90 km/h by attaching damped layer plates to the wheels, but the total reduction is only 0.

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32

Lee, J. J., and A. E. Ni. "Structure-Borne Tire Noise Statistical Energy Analysis Model." Tire Science and Technology 25, no. 3 (1997): 177–86. http://dx.doi.org/10.2346/1.2137539.

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Abstract The application of the Statistical Energy Analysis (SEA) technique on vehicle high frequency noise has gained popularity. It is desirable to model the tire to provide the capability of vehicle system NVH prediction. An SEA model for the structure-borne noise has been developed. The point mobility shows good agreement with measurement. The modeling methodology on tread bands, sidewalls, and their coupling are discussed. The modeling requirements and prospects are also included.

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33

Maidanik, G., and J. Dickey. "Notions and concepts in statistical energy analysis revisited." Journal of the Acoustical Society of America 92, no. 4 (1992): 2365. http://dx.doi.org/10.1121/1.404853.

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34

Maidanik, G. "Some aspects of the statistical energy analysis—SEA." Journal of the Acoustical Society of America 79, S1 (1986): S11. http://dx.doi.org/10.1121/1.2023070.

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35

Langley, Robin S., David H. Hawes, Tore Butlin, and Yuki Ishii. "Response variance prediction using transient statistical energy analysis." Journal of the Acoustical Society of America 145, no. 2 (2019): 1088–99. http://dx.doi.org/10.1121/1.5090501.

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36

Gregory, Joseph, Richard Keltie, and Hubert Hall. "Experimental statistical energy analysis in the time domain." Journal of the Acoustical Society of America 110, no. 5 (2001): 2629. http://dx.doi.org/10.1121/1.4776888.

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37

Lim, Ji Min, J. Stuart Bolton, Sung‐Un Park, and Seon‐Woong Hwang. "Statistical energy analysis for a compact refrigeration compressor." Journal of the Acoustical Society of America 118, no. 3 (2005): 1872. http://dx.doi.org/10.1121/1.4779247.

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38

Borello, Gérard, Laurent Gagliardini, and Denis Thenail. "Virtual statistical energy analysis for vibroacoustic industrial prediction." Journal of the Acoustical Society of America 123, no. 5 (2008): 3314. http://dx.doi.org/10.1121/1.2933769.

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39

Finnveden, Svante. "Statistical energy analysis of two spring‐coupled oscillators." Journal of the Acoustical Society of America 105, no. 2 (1999): 1348. http://dx.doi.org/10.1121/1.426393.

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40

Culla, Antonio, Walter D׳Ambrogio, Annalisa Fregolent, and Silvia Milana. "Vibroacoustic optimization using a statistical energy analysis model." Journal of Sound and Vibration 375 (August 2016): 102–14. http://dx.doi.org/10.1016/j.jsv.2016.04.026.

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41

Lai, M. L., and T. T. Soong. "Statistical Energy Analysis of Primary‐Secondary Structural Systems." Journal of Engineering Mechanics 116, no. 11 (1990): 2400–2413. http://dx.doi.org/10.1061/(asce)0733-9399(1990)116:11(2400).

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42

Renji, K. "Estimation of spectral density using statistical energy analysis." Journal of Sound and Vibration 275, no. 1-2 (2004): 447–51. http://dx.doi.org/10.1016/j.jsv.2003.10.007.

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43

Wilson, R. "Sound transmission through buildings using statistical energy analysis." Applied Acoustics 53, no. 1-3 (1998): 233–35. http://dx.doi.org/10.1016/s0003-682x(97)00056-x.

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44

Amendola, C., I. Iannilli, D. Restuccia, I. Santini, and G. Vinci. "Multivariate statistical analysis comparing sport and energy drinks." Innovative Food Science & Emerging Technologies 5, no. 2 (2004): 263–67. http://dx.doi.org/10.1016/j.ifset.2004.01.006.

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45

Le Bot, A. "Derivation of statistical energy analysis from radiative exchanges." Journal of Sound and Vibration 300, no. 3-5 (2007): 763–79. http://dx.doi.org/10.1016/j.jsv.2006.08.033.

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46

Sablik, M. J., R. E. Beissner, H. S. Silvus, and M. L. Miller. "Statistical energy analysis, structural resonances, and beam networks." Journal of the Acoustical Society of America 77, no. 3 (1985): 1038–45. http://dx.doi.org/10.1121/1.392222.

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47

Lafont, T., N. Totaro, and A. Le Bot. "Review of statistical energy analysis hypotheses in vibroacoustics." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 470, no. 2162 (2014): 20130515. http://dx.doi.org/10.1098/rspa.2013.0515.

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This paper is a discussion of the equivalence between rain-on-the-roof excitation, diffuse field and modal energy equipartition hypotheses when using statistical energy analysis (SEA). A first example of a simply supported plate is taken to quantify whether a field is diffuse or the energy is equally distributed among modes. It is shown that the field can be diffuse in a certain region of the frequency-damping domain with a single point force but without energy equipartition. For a rain-on-the-roof excitation, the energy becomes equally distributed, and the diffuse field is enforced in all reg

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48

Davis, Evan B. "The violin as a statistical energy analysis network." Journal of the Acoustical Society of America 127, no. 3 (2010): 1792. http://dx.doi.org/10.1121/1.3383984.

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49

Mace, B. R. "WAVE COHERENCE, COUPLING POWER AND STATISTICAL ENERGY ANALYSIS." Journal of Sound and Vibration 199, no. 3 (1997): 369–80. http://dx.doi.org/10.1006/jsvi.1996.0654.

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50

Reis, Joana André, and Patrícia Escórcio. "Energy certification in St. António (Funchal) – Statistical analysis." Energy and Buildings 49 (June 2012): 126–31. http://dx.doi.org/10.1016/j.enbuild.2012.01.039.

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