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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 (January 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 (March 6, 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 ensemble averages and coupling loss factors (CLFs) are found. Various observations are made, some of which differ from those that are commonly assumed within SEA. The coupling power and CLF are governed by two parameters: the ‘strength of connection’ and the ‘strength of coupling’. The CLF is proportional to damping at low damping and independent of damping in the high damping, weak coupling limit. Equipartition of energy does not occur as damping tends to zero, except for the case of two oscillators that have identical natural frequencies. While attention is focused on spring-coupled oscillators, similar results hold for more general forms of conservative coupling. The examples of two spring-coupled rods and two spring-coupled plates are considered. Conventional SEA and the coupled oscillator results are in good agreement for weak coupling but diverge for strong coupling. For strong coupling and weak connection, the coupled oscillator results agree well with an exact wave analysis and Monte Carlo simulations.

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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 (October 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 of vibro-acoustic response. The division way of plate subsystem can affect computational accuracy greatly. The influencing factors should be synthetically considered in the design of acoustics structure.

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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 0.9 dB(A) at 160 km/h and 0.4 dB(A) at 90 km/h, so the attempts to reduce the total noise should exert noise control measures on the track, not on the wheel.

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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 (February 8, 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 regions. A second example of two plates coupled by a light spring is discussed. It is shown that in addition to previous conclusions, the power exchanged between plates agrees with the statistical prediction of SEA if and only if the field is diffuse. The special case of energy equipartition confirms this observation.

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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 power flow of sub-systems in cab were obtained, which provided the basis for the control of high-speed train cab noise.

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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 (July 24, 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 of bridge decks were obtained via train–track–bridge coupled vibration calculations. Second, the constrained layer damping subsystem modal loss factors were determined via modal strain energy analysis and converted to damping loss factors in 1/3 octave band. Third, upon substituting the vibration energies of the decks and the damping loss factors of constrained layer damping subsystems into the statistical energy analysis power balance equations, the transmitted vibration energy results from various bridge subsystems were determined by solving the referenced equations. The structure-borne noise from the bridge was finally determined by analyzing the vibratory energies of all of the bridge subsystems using vibro-acoustic theory. Numerical analysis and field measurements of vibration and noise from a three-span steel–concrete composite bridge before and after constrained layer damping installation were performed. The predicted train-induced vibration and noise agreed well with the measured results. The stringer web and flange vibration velocity levels were reduced by 10.5 dB and 6.1 dB, respectively, and the sound pressure level at a measurement point 25 m (horizontal) from the track centerline and 1.5 m off the ground decreased by 4.3 dB(A).

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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 non-uniform natural frequency distributions. These areas are studied using axially vibrating rod models which clarify much of the analysis without significant loss of generality. The principal example studied is based on part of the structure of a modem warship. It illustrates the simplifications inherent in the models adopted here but also reveals the improvements that can be made over traditional SEA techniques. The problem of heavy damping is partially overcome by adopting revised equations for the various loss factors used in SEA. These are shown to be valid provided that the damping remains proportional so that inter-modal coupling is not induced by the damping mechanism. Strong coupling is catered for by the use of a correction factor based on the limiting case of infinite coupling strength, for which classical solutions may be obtained. This correction factor is used in conjunction with a new, theoretically based measure of the transition between weakly and strongly coupled behaviour. Finally, to explore the effects of non-uniform natural frequency distributions, systems with geometrically periodic and near-periodic parameters are studied. This important class of structures are common in engineering design and do not posses the uniform modal statistics commonly assumed in SEA. The theory of periodic structures is used in this area to derive more sophisticated statistical models that overcome some of these limitations.

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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 e aplicação experimental da técnica SEA utiliza-se o Método de Injeção de Potência, sendo este aplicado a estruturas acopladas do tipo viga, numa configuração em T e estruturas acopladas do tipo placa que formam uma caixa. O estudo numérico e analítico também faz parte deste trabalho, tendo como base o desenvolvimento de uma formulação para vigas relativamente espessas, mostrando a influência geométrica na transmissão da vibração entre subsistemas. Comparações também são feitas entre os resultados obtidos experimentalmente na caixa e na viga T com os obtidos analiticamente e computacionalmente e em ambos os casos estes apresentaram uma boa correlação. Por fim, uma estrutura composta por uma cavidade acústica é estudada e um aparato o para injeção de potência é construído com base no estudo em altas freqüências.
This work is based in the study and application of the Statistical Energy Analysis (SEA), which is applied to high frequencies vibrations characterized by high modal densities and the solution, is given in statistical terms. This analysis is used in numerical, analytical and experimental models and the principal objective is the estimative of the SEA parameters, known by damping loss factors, coupling loss factors and modal densities. The experimental model is based on the Power Injection Method (PIM), and this was applied in coupled structures, like beam type, that was coupled in a T-beam configuration and the other type of coupling was studied in a box type structure. An analytical model was developed in this thesis, it was based on the Timoshenko beam formulation and the possible geometrical effects were studied. The results obtained as experimentally as numerically or analytically were compared and showed a good agreement. Finally, an acoustic cavity was studied and a new display was constructed to inject power in the cavity and a high frequency study was performed.

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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 wave model allows the transmission coefficients to be calculated for hull frame joints which can be used in the coupling loss factor equations of SEA models. The joint model has been verified against measured data taken on a simple two subsystem single joint laboratory structures and a large complex 38 plate test structure with multiple joints intended to represent a 1/10' scale model of a hull section. In addition to the laboratory structures, the SEA modelling of sections of a ship is presented for a large ribbed deck plate, a section of the ship superstructure and a section of the ships hull. The results from the SEA models are compared with measured attenuation data taken on the respective ship sections. A large amount of damping data has been gathered on the test and ship structures and an equation for the internal steel based on data gathered by other researchers has been verified. It has been shown in this thesis that SEA can be applied to ships. Better agreement is found with real structures in contrast to the poor results presented for SEA when applied to simple one dimensional structures. The level of detail of the model is important as a coarse model yields better predictions of vibration level. As with all models the results are sensitive to the damping level and it is necessary to include bending, longitudinal and transverse wave types in any SEA model to obtain the best prediction. It was also found that the flange plates can be neglected from the frame joint model without compromising the accuracy.

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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 analytical difficulties involved.

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Books on the topic "Damping; Statistical Energy Analysis"

1

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

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James, P. P. Weak coupling in statistical energy analysis. Southampton, England: 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. Dordrecht: 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. Boston: Butterworth-Heinemann, 1995.

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5

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

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6

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

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7

Orlóci, László. Quantum ecology: Energy structure and its analysis. 2nd ed. London: 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. Dordrecht: 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. [S.l.]: University of Southampton, Institute of Sound and Vibration Research, 1995.

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Reddy, T. Agami. Applied data analysis and modeling for energy engineers and scientists. New York: 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, 59–70. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9173-7_6.

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Wijker, Jaap. "Statistical Energy Analysis." In Random Vibrations in Spacecraft Structures Design, 251–320. Dordrecht: 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, 263–302. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-08587-5_13.

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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, 233–59. London: Springer London, 1992. http://dx.doi.org/10.1007/978-1-4471-0399-8_8.

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Rindel, Jens Holger. "Statistical energy analysis, SEA." In Sound Insulation in Buildings, 189–202. Boca Raton : CRC Press, [2018]: CRC Press, 2017. http://dx.doi.org/10.1201/9781351228206-8.

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Manik, Dhanesh N. "Statistical Energy Analysis (SEA)." In Vibro-Acoustics, 389–451. Boca Raton : CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315156729-10.

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Mahoney, Daniel. "Data Analysis and Statistical Issues." In Modeling and Valuation of Energy Structures, 12–47. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137560155_2.

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Switzer, Paul. "Statistical Image Processing." In Quantitative Analysis of Mineral and Energy Resources, 271–82. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4029-1_16.

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Pradlwarter, H. J., and G. I. Schuëller. "Statistical Energy Analysis in View of Stochastic Modal Analysis." In IUTAM Symposium on Statistical Energy Analysis, 209–20. Dordrecht: 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, 135–42. Berlin, Heidelberg: 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"

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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. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-1944.

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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. 400 Commonwealth Drive, Warrendale, PA, United States: 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 of the system and explained in regards to the the “artificial damping” of the main resonator.

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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 in the horizontal and vertical directions. The stiffness and damping forces, being functions of the displacement and velocity components, make the system nonlinear and coupled. For the input forces, the erratic nature of the waves is modeled by a stochastic process. Specifically, wind-generated waves are modeled by means of the JONSWAP spectrum. The method of statistical linearization [2] is used to determine iteratively the effective linear stiffness and damping matrices and response statistics of the system and to proceed to conducting a dynamic analysis of the harvester model. The reliability of the linearization based approach is demonstrated by comparison with time domain integration, Monte Carlo simulation, data. This approach offers the appealing feature of conducting efficiently a variety of parameter studies which can expedite preliminary evaluations, inter alia, of competing design scenarios for the energy converter in a stochastic environmental setting.

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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 vibration analyses via classical linear input-output relationships. The analysis is conducted by considering the case of the full-scale prototype in the port of Civitavecchia (Rome, Italy). The reliability of the proposed approach is assessed versus relevant Monte Carlo data. For this, realizations of sea states compatible with typical power spectral density functions of sea waves are employed. The performed analyses prove that the statistical linearization technique based approach is an efficient and reliable tool which may both circumvent the use of time-consuming Monte Carlo simulations, and be used for a variety of design optimization related parameter studies.

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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 motion of granules using the direct numerical integration of Newton's equations, the DSMC is a statistical approach derived from the Boltzmann equation to describe the velocity evolution of the granular system. Since the exact time and locations of contacts among granules are not calculated in the DSMC, a significant reduction in computational time/cost can be achieved. While the DSMC has been exercised in a variety of granular systems, its implementation to granular damping analysis poses unique challenges. In this research, we develop a new method that enables the coupled analysis of the stochastic granular motion and the structural vibration. The complicated energy transfer and dissipation due to the collisions between the granules and the host structure and among the granules is directly and accurately incorporated into the analysis, which is essential to damping evaluation. Also, the effects of granular packing ratio and the excluded volume of granules, which may not be included in conventional DSMC method, are explicitly taken into account in the proposed approach. A series of numerical analyses are performed to highlight the accuracy and efficiency of the new approach. Using this new algorithm, we can carry out parametric analysis on granular damping to obtain guidelines for system optimization.

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7

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 dissipation in the case of damping but one of energy confinement in the case of disorder. The corresponding rates of spatial exponential decay are estimated by applying statistical perturbation methods. It is found that the effects of damping and disorder simply superpose for a multi-span beam with strong interspan coupling, but interact less trivially in the weak coupling case. Furthermore, the effect of disorder is found to be small relative to that of damping in the case of strong interspan coupling, but of comparable magnitude for weak coupling between spans. The adequacy of the statistical analysis to predict accurately localization in finite disordered beams with boundary conditions is also examined.

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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 sensitive to geometrical details and local effects at higher frequencies. With changing input parameters, finite element approaches could prove to be computationally expensive during the initial design phase of such structures. Statistical Energy Analysis (SEA) is an energy based approach and was used to study the fluid structure coupling effect on the vibration characteristics of a simple rectangular parallelepiped thin sheet metal tank. A thin steel tank (thickness/min. characteristic dimension <0.01) was excited by a broad band uniform power spectral density white noise signal and the spatial and frequency averaged acceleration responses were compared. Some parameters like the damping loss factor and the excitation force were calculated from the experimental measurements and used as input for SEA simulations. Coupling loss factors were calculated from tests and the trend lines were found to be in agreement with the theoretical calculations. The SEA simulation model results were compared with the conventional FE based approach for reference. Variance studies were used to compute the envelope for the SEA simulation response for a 90% confidence interval. The SEA and the test results comparison was quantified by a correlation coefficient which indicated a moderately strong correlation (>0.5) between the SEA and experimental results.

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9

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 coupling loss factors from the power injection method. 2. Establishment of a procedure for measuring coupling damping using the in-situ loss factors measured from the power injection method for non-conservatively coupled systems. The coupling damping estimates are measured for the same non-conservatively coupled cylindrical shell as used for the coupling loss factor experiments. 3. Usage of an elastic wave propagation analysis to obtain theoretical estimates of the coupling loss factors for cylindrical shells connected by a solid flange joint using the Fliigge stress equations for cylindrical shells. The flange joint arrangement is modelled as a ring connecting the two shell halves, where the Love equations are used to develop the in-plane and out-of-plane ring forces and moment. The coupling loss factor is calculated from the power transmitted across the joint and from the stored energy on the incident side.

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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 dissipation ability. Despite their wonderful engineering potential, the damping properties of CNT-based composites have not been examined in any detail. The purpose of this paper is to investigate the structural damping characteristics of polymeric composites distributed with single-walled carbon nanotubes (SWNTs). In this study, the system is modeled using a four-phase composite, composed of a resin, voids, and bonded and debonded nanotubes. A micromechanical model is proposed to describe interfacial debonding evolution. To characterize the overall behavior, the Weibull’s statistical function is employed to describe the varying probability of nanotube debonding under uniaxial loading. Fictitious, perfectly bonded inclusions are used to replace debonded nanotubes such that the elastic mechanical properties can be obtained through Eshelby’s approach. To address damping effects, the concept of interfacial “stick-slip” frictional motion between the nanotubes and the resin is proposed. A critical shear (bonding) stress is used to separate the material system into an energy-conservative range due to strong interfacial bonding, and a nanotube sliding range resulting in energy dissipation. The developed method is further extended to analyze composites with randomly oriented nanotubes. The analytical results show that the critical shear stress, nanotube weight ratio and structure deformation are the factors affecting the damping characteristic. Experimental efforts are also performed to verify the trends predicted by the analysis. Through comparing with neat resin specimens, the study shows that one can indeed enhance damping by adding CNT fillers into polymeric resins. It is also observed that SWNT-based composites can achieve higher damping than composites with other types (different size, surface area, density and stiffness) of fillers. These results confirm the advantage of using CNTs for damping enhancement.

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Reports on the topic "Damping; Statistical Energy Analysis"

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Maidanik, G., and K. J. Becker. Are the Energy Analysis (EA) and the Statistical Energy Analysis (SEA) Compatible? Fort Belvoir, VA: Defense Technical Information Center, November 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), February 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), August 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), May 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), May 2000. http://dx.doi.org/10.2172/763240.

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