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Relevant bibliographies by topics / Damping; Statistical Energy Analysis

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Academic literature on the topic 'Damping; Statistical Energy Analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Damping; Statistical Energy Analysis"

1

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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Mace, B. R., and L. Ji. "The statistical energy analysis of coupled sets of oscillators." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 463, no. 2081 (2007): 1359–77. http://dx.doi.org/10.1098/rspa.2007.1824.

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The paper concerns the statistical energy analysis (SEA) of two conservatively coupled oscillators, sets of oscillators and continuous subsystems under broadband excitation. The oscillator properties are assumed to be random and ensemble averages found. Account is taken of the correlation between the coupling parameters and the oscillator energies. For coupled sets of oscillators or continuous subsystems, it is assumed that the coupling power between a pair of oscillators is proportional to the difference of either their actual energies or their ‘blocked’ energies, and expressions for the ense

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3

Yap, F. F., and J. Woodhouse. "INVESTIGATION OF DAMPING EFFECTS ON STATISTICAL ENERGY ANALYSIS OF COUPLED STRUCTURES." Journal of Sound and Vibration 197, no. 3 (1996): 351–71. http://dx.doi.org/10.1006/jsvi.1996.0536.

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Zhang, Guo Jun, and Yun Ju Yan. "Applications of Statistical Energy Analysis in Influencing Factors Analysis of Aircraft Vibro-Acoustic Response Characteristics." Applied Mechanics and Materials 300-301 (February 2013): 810–13. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.810.

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The SEA model of hypersonic aircraft is established based on statistical energy analysis (SEA) theory. Three parameters of the SEA model are established by the theory and experiential formula. According to damping loss factors of model subsystem and acoustic absorptivity of cavity, sensitivity analysis of vibro-acoustic response is discussed. The effect that division way of plate subsystem and material structure cause to vibro-acoustic response is analyzed. The analysis results show that the material structure, damping loss factors and material type have the great effect on the characteristics

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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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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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Yang, Xiao Yan, You Gang Xiao, and Yu Shi. "Statistical Energy Analysis of Wind Noise in High-Speed Train Cab." Applied Mechanics and Materials 249-250 (December 2012): 307–13. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.307.

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Statistical energy analysis(SEA) method has many advantages in analysis of high frequency, high modal density and complex dynamic systems. Dividing high-speed train cab into a series of sub-systems, the SEA model of high-speed train cab was established. The factors affecting the cab noise, such as modal density, damping loss factors, coupling loss factors, were gotten by theoretical analysis combined with experiments. Using large eddy simulation method, the fluctuation pressures from train head surface were calculated. Using fluctuation pressure as excitation source, wind noise spectra and pow

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Yang, Qiao, Hai Bo Chen, and Yong Yan Wang. "Statistical Energy Analysis of Fractional Derivative Model-Based Rubber Vibration Isolating System." Applied Mechanics and Materials 437 (October 2013): 114–19. http://dx.doi.org/10.4028/www.scientific.net/amm.437.114.

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The fractional derivative model and Coulomb friction model are introduced to describe the nonlinear characteristics of rubber isolators. Then the non-conservative coupling theory is used to calculate the statistical energy analysis (SEA) parameters of a typical non-conservative coupling system formed by two square plates and a rubber isolator. Numerical results are compared with those obtained by using the traditional viscous damping model, which shows that higher accuracy can be obtained by using the fractional derivative model in high-frequency band.

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Liu, Quanmin, Xiaozhen Li, Xun Zhang, Yunlai Zhou, and Y. Frank Chen. "Applying constrained layer damping to reduce vibration and noise from a steel-concrete composite bridge: An experimental and numerical investigation." Journal of Sandwich Structures & Materials 22, no. 6 (2018): 1743–69. http://dx.doi.org/10.1177/1099636218789606.

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Structure-borne noise from railway bridges has become increasingly severe due to increased train speeds and axle loads. Constrained layer damping can suppress structural vibration and noise considerably across a wide frequency range by dissipating vibrational energy via damping layer shear deformation. This paper proposes a theoretical method of calculating the train-induced vibration and noise of a constrained layer damping-enhanced railway bridge based on the train–track–bridge coupled vibration, the modal strain energy method, and statistical energy analysis. First, the vibration responses

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WADA, Hirofumi, Takayuki KOIZUMI, Nobutaka TSUJIUCHI, Hiroshi UEHARA, and Satoshi MORITA. "604 Damping Loss Factor Estimation Method of Statistical Energy Analysis Using Power Injection Method." Proceedings of Conference of Kansai Branch 2010.85 (2010): _6–4_. http://dx.doi.org/10.1299/jsmekansai.2010.85._6-4_.

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Dissertations / Theses on the topic "Damping; Statistical Energy Analysis"

1

Bolduc, Maxime. "Acquiring statistical energy analysis damping loss factor for complex structures with low to high damping characteristics." Thèse, [S.l. : s.n.], 2007. http://savoirs.usherbrooke.ca/handle/11143/1801.

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Beshara, Maha. "Energy flows in structures with compliant nonconservative couplings." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360211.

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Keane, A. J. "Statistical energy analysis of engineering structures." Thesis, Brunel University, 1988. http://bura.brunel.ac.uk/handle/2438/5204.

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This thesis examines the fundamental equations of the branch of linear oscillatory dynamics known as Statistical Energy Analysis (SEA). The investigation described is limited to the study of two, point coupled multi-modal sub-systems which form the basis for most of the accepted theory in this field. Particular attention is paid to the development of exact classical solutions against which simplified approaches can be compared. These comparisons reveal deficiencies in the usual formulations of SEA in three areas, viz., for heavy damping, strong coupling between sub-systems and for systems with

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Libardi, Ana Lúcia. "Vibração em estruturas acopladas sujeitas a excitações em altas freqüencias." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/18/18135/tde-12022016-141655/.

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Este trabalho baseia-se no estudo e aplicação da Análise Estatística de Energia (SEA). Tal técnica é amplamente empregada nos estudos de vibrações em altas freqüências, dominadas por altas densidades modais e oferecendo toda a solução para o modelo em termos de parâmetros estatísticos. Aplica-se SEA tanto a modelos teóricos e numéricos quanto a modelos experimentais. Qualquer uma das duas abordagens descrita anteriormente tem como objetivo a obtenção dos parâmetros SEA, conhecidos por fator de perda por dissipação interna, fator de perda por acoplamento e densidade modal. Para o estudo

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Chohan, Ghulam Yasin. "Statistical energy analysis of nonconservative dynamical systems." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239507.

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Shorter, Philip. "Combining finite elements and statistical energy analysis /." Online version, 1998. http://bibpurl.oclc.org/web/23511.

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Erskine, Jon S. "Effects of welding on energy dissipation in a watertight bulkhead." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FErskine.pdf.

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Ezanno, Philippe. "Vibration localization and statistical energy analysis in coupled systems." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-06112009-063056/.

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Connelly, Terence. "Structural vibration transmission in ships using statistical energy analysis." Thesis, Heriot-Watt University, 1999. http://hdl.handle.net/10399/1234.

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This thesis presents the results of an investigation into the application of statistical energy analysis (SEA) to predict structure-borne noise transmission in ship structures. The first three chapters introduce the problems of noise and vibration in ships; the previous research on the application of SEA to ships; the basic theory of SEA and the experimental measurement techniques and procedures used to gather data The main body of this thesis presents a wave transmission model for the hull frame joint which is commonly encountered on the hull, bulkheads and deck plates of ship structures. The

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Bashir, Hussam. "Calculation of Wave Propagation for Statistical Energy Analysis Models." Thesis, Uppsala universitet, Tillämpad mekanik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-267928.

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This thesis investigates the problems of applying Statistical Energy Analysis (SEA) tomodels that include solid volumes. Three wave types (Rayleigh waves, Pressure wavesand Shear waves) are important to SEA and the mathematics behind them is explainedhere. The transmission coefficients between the wave types are needed for energytransfer in SEA analysis and different approaches to solving the properties of wavepropagation on a solid volume are discussed. For one of the propagation problems, asolution, found in Momoi [6] is discussed, while the other problem remains unsolveddue to the analytica

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Books on the topic "Damping; Statistical Energy Analysis"

1

Keane, Andrew John. Statistical energy analysis of engineering structures. Brunel University, 1988.

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2

James, P. P. Weak coupling in statistical energy analysis. University of Southampton, Institute of Sound and Vibration Research, 1994.

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3

Fahy, F. J., and W. G. Price, eds. IUTAM Symposium on Statistical Energy Analysis. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7.

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4

G, DeJong Richard, and Lyon Richard H, eds. Theory and application of statistical energy analysis. 2nd ed. Butterworth-Heinemann, 1995.

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5

Craik, Robert J. M. Sound transmission through buildings: Using statistical energy analysis. Gower, 1996.

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6

Quantum ecology: Energy structure and its analysis. Scada Publishing, 2013.

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7

Orlóci, László. Quantum ecology: Energy structure and its analysis. 2nd ed. SCADA Publishing, 2014.

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8

1945-, Chung C. F., Fabbri Andrea G, and Sinding-Larsen Richard, eds. Quantitative analysis of mineral and energy resources. D. Reidel Pub. Co, 1988.

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9

James, P. P. Evolution of the energy impulse response in the case of two very weakly coupled systems: a mathematical model. University of Southampton, Institute of Sound and Vibration Research, 1995.

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10

Reddy, T. Agami. Applied data analysis and modeling for energy engineers and scientists. Springer, 2011.

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Book chapters on the topic "Damping; Statistical Energy Analysis"

1

Mace, B. R., and P. J. Shorter. "Irregularity, Damping and Coupling Strength in S.E.A." In IUTAM Symposium on Statistical Energy Analysis. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_6.

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2

Wijker, Jaap. "Statistical Energy Analysis." In Random Vibrations in Spacecraft Structures Design. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2728-3_4.

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Wijker, Jaap. "Statistical Energy Analysis." In Mechanical Vibrations in Spacecraft Design. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08587-5_13.

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4

Crighton, D. G., A. P. Dowling, J. E. Ffowcs Williams, M. Heckl, and F. G. Leppington. "Statistical Energy Analysis." In Modern Methods in Analytical Acoustics. Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-0399-8_8.

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5

Rindel, Jens Holger. "Statistical energy analysis, SEA." In Sound Insulation in Buildings. CRC Press, 2017. http://dx.doi.org/10.1201/9781351228206-8.

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6

Manik, Dhanesh N. "Statistical Energy Analysis (SEA)." In Vibro-Acoustics. CRC Press, 2017. http://dx.doi.org/10.1201/9781315156729-10.

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7

Mahoney, Daniel. "Data Analysis and Statistical Issues." In Modeling and Valuation of Energy Structures. Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137560155_2.

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8

Switzer, Paul. "Statistical Image Processing." In Quantitative Analysis of Mineral and Energy Resources. Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4029-1_16.

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9

Pradlwarter, H. J., and G. I. Schuëller. "Statistical Energy Analysis in View of Stochastic Modal Analysis." In IUTAM Symposium on Statistical Energy Analysis. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_19.

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Kacprzak, Stanisław, and Mariusz Ziółko. "Speech/Music Discrimination via Energy Density Analysis." In Statistical Language and Speech Processing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39593-2_12.

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Conference papers on the topic "Damping; Statistical Energy Analysis"

1

Ewing, Mark, and Himanshu Dande. "Damping Loss Factor Estimation for Coupled Plates Using Experimental Transient Statistical Energy Analysis." In 52nd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference. American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-1944.

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2

Chae, Ki-Sang, and Byung Young Oh. "Appropriate Damping Loss Factor of Vehicle Interior Cavity for Valid Application of Statistical Energy Analysis." In 11th International Styrian Noise, Vibration & Harshness Congress: The European Automotive Noise Conference. SAE International, 2020. http://dx.doi.org/10.4271/2020-01-1524.

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Tufano, Dante A., and Zahra Sotoudeh. "Introducing Entropy for the Statistical Energy Analysis of an Artificially Damped Oscillator." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50591.

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The purpose of this paper is to introduce the concept of entropy for a main resonator attached to a “fuzzy structure”. This structure is described explicitly using the Lagrangian method, and is treated as a layer of discrete resonators. A generic entropy formulation is then developed for the layer of resonators, which is used to determine the individual oscillator entropies. The combined entropy of the linear resonator system is then determined and compared numerically to the sum of the individual oscillator entropies. The entropy behavior of the system is then related to the energy behavior o

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Spanos, P. D., A. Richichi, and F. Arena. "Stochastic Analysis of a Nonlinear Energy Harvester Model." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24489.

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Floating oscillating-bodies are a kind of wave energy converter developed for harvesting the great amount of energy related to water waves (see Falcão [1] for a review). Although the assumptions of small-wave and linear behavior of oscillating system are reasonable for most of the time during which a floating point harvester is in operation, nonlinear effects may be significant in extreme sea states situations. In this paper a nonlinear dynamic analysis of a point harvester wave energy converter is conducted. The model involves a tightly moored single-body floating device; it captures motion i

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Spanos, Pol D., Federica M. Strati, Giovanni Malara, and Felice Arena. "Stochastic Dynamic Analysis of U-OWC Wave Energy Converters." In ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/omae2017-61522.

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The paper presents a random vibration analysis of a U-Oscillating Water Column wave energy harvester (U-OWC). The U-OWC comprises a vertical duct on the wave beaten side, in addition to the elements of conventional OWCs. From a mathematical perspective, the U-OWC dynamic response is governed by a set of coupled non-linear differential equations with asymmetric matrices of mass, damping, and stiffness. In this work, an approximate analytical solution of the U-OWC equations of motion is sought by using the technique of statistical linearization. This technique allows pursuing rapid random vibrat

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Fang, X., and J. Tang. "Granular Damping Analysis Using a Direct Simulation Monte Carlo Approach." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-14448.

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Granular damping, which possesses promising features for vibration suppression in harsh environment, has been studied using empirical analysis and more recently using the discrete element method (DEM). The mechanism of granular damping is highly nonlinear, and, when numerical analyses are performed, usually a relatively long simulation time of structural vibration is needed to reflect the damping behavior especially at low frequency range. The present research explores the granular damping analysis by means of the Direct Simulation Monte Carlo (DSMC) approach. Unlike the DEM that tracks the mo

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Bouzit, Djamel, and Christophe Pierre. "Localization of Vibration in Disordered Multi-Span Beams With Damping." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0166.

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Abstract The combined effects of disorder and structural damping on the dynamics of a multi-span beam with slight randomness in the spacing between supports are investigated. A wave transfer matrix approach is chosen to calculate the free and forced harmonic responses of this nearly periodic structure. It is shown that both harmonic waves and normal modes of vibration that extend throughout the ordered, undamped beam become spatially attenuated if either small damping or small disorder is present in the system. The physical mechanism which causes this attenuation, however, is one of energy dis

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8

Shende, Ketan V., and Richard Keltie. "Modelling and Experimental Comparison of Fluid Structure Coupling for Thin Sheet Metal Tanks Using Statistical Energy Analysis." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59071.

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Acoustic response of flat surfaces in contact with a fluid volume is of some interest for the design of automotive fuel tanks, fluid containers and underwater applications [1]. As this response can be related to the surface vibration response in the linear domain, the effect of fluid structure coupling on the vibration response of the structure is studied in this paper. Advances in the computational abilities have increased the focus of analysis-led approaches in the design of thin sheet metal tanks. Conventional finite element (FE) based approaches are useful at low frequencies but are highly

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Keswick, P. R., and M. P. Norton. "Coupling Loss Factors and Coupling Damping for Flanged Cylindrical Shells." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0293.

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Abstract This paper reports on an investigation into an experimental and theoretical evaluation of coupling loss factors and the experimental evaluation of coupling damping for statistical energy analysis of flanged cylindrical shells. It includes the following. 1. An evaluation of the power injection method and the steady state energy method for determining the coupling loss factors of conservative and non-conservatively coupled cylindrical shells. The investigation also establishes if it is necessary to use post processing or additional damping to the subsystems to obtain meaningful loss and

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Zhou, X., E. Shin, K. W. Wang, and C. E. Bakis. "Damping Characteristics of Carbon Nanotube Based Composites." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48537.

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Because of their ultra small, nanometer scale size and low density, the surface area to mass ratio (specific area) of carbon nanotubes (CNTs) is extremely large. Therefore, in a nanotube-based polymeric composite structure, it is anticipated that high damping can be achieved by taking advantage of the interfacial friction between the nanotubes and the polymer resins. In addition, the CNT’s large aspect ratio and high elastic modulus features allow for the design of such composites with large differences in strain between the constituents, which could further enhance the interfacial energy diss

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Reports on the topic "Damping; Statistical Energy Analysis"

1

Maidanik, G., and K. J. Becker. Are the Energy Analysis (EA) and the Statistical Energy Analysis (SEA) Compatible? Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada419012.

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Leal, L. C. R-MATRIX RESONANCE ANALYSIS AND STATISTICAL PROPERTIES OF THE RESONANCE PARAMETERS OF 233U IN THE NEUTRON ENERGY RANGE FROM THERMAL TO 600 eV. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/777670.

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Linda Stetzenbach, Lauren Nemnich, and Davor Novosel. Statistical Analysis and Interpretation of Building Characterization, Indoor Environmental Quality Monitoring and Energy Usage Data from Office Buildings and Classrooms in the United States. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/1004553.

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Derrien, H. NEUTRON TOTAL CROSS SECTIONS OF 235U FROM TRANSMISSION MEASUREMENTS IN THE ENERGY RANGE 2 keV to 300 keV AND STATISTICAL MODEL ANALYSIS OF THE DATA. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/815777.

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Derrien, H., J. A. Harvey, N. M. Larson, L. C. Leal, and R. Q. Wright. Neutron Total Cross Sections of {sup 235}U From Transmission Measurements in the Energy Range 2 keV to 300 keV and Statistical Model Analysis of the Data. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/763240.

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