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Journal articles on the topic 'Acoustic modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Rindel, Jens Holger. "Room Acoustic Modelling Techniques: A Comparison of a Scale Model and a Computer Model for a New Opera Theatre." Building Acoustics 18, no. 3-4 (December 2011): 259–80. http://dx.doi.org/10.1260/1351-010x.18.3-4.259.

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Today most acoustic consultants are using room acoustic computer models as a basis for their acoustic design. However, room acoustic scale modelling is still being used for the design in some major projects, although the costs and the time needed are significantly larger than those related to computer modelling. Both techniques were used by the author in a project for a new opera theatre; first the acoustical design was based on computer simulations using the Odeon software, and next a 1:20 scale model was built and tested. In the paper the results obtained with the two different modelling techniques are compared, and in general a satisfactory agreement has been found. The advantages and drawbacks related to each of the modelling techniques are discussed.

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2

Bazaras, Jonas. "INTERNAL NOISE MODELLING PROBLEMS OF TRANSPORT POWER EQUIPMENT." TRANSPORT 21, no. 1 (March 31, 2006): 19–24. http://dx.doi.org/10.3846/16484142.2006.9638035.

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The acoustic analysis of transport vehicles is presented in this article. Two types of vehicles of Russian production (TEP‐60 and M62) were selected for this research. Using ANSYS/Multiphysic software acoustic noise of different power units in the engine sector was simulated. In this paper we present the modelling results of the locomotive internal noise. In ANSYS/Multiphysic anbience the problems of acoustics are solved on the basis of harmonic response analysis by providing harmonic pressure excitation (sine type) at some points of fluid structure and obtaining the pressure distribution in the fluid. By changing the agitation frequency variable sound distribution at the interval of different frequencies is obtained. Constructing the calculation scheme for a three dimensional locomotive model, spatial structure of finite elements is used. The whole construction was described by 3D finite elements FLUID30 designed for a specified acoustic analysis. The presented acoustic calculation model of rolling‐stock cabin allows the evaluation of structural solutions and, in case of emergency, taking extra measures in the process of rolling‐stock design. The results of acoustic calculation were compared with experimental measurements.

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3

Brind, James, and Graham Pullan. "Modelling Turbine Acoustic Impedance." International Journal of Turbomachinery, Propulsion and Power 6, no. 2 (June 7, 2021): 18. http://dx.doi.org/10.3390/ijtpp6020018.

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We quantify the sensitivity of turbine acoustic impedance to aerodynamic design parameters. Impedance boundary conditions are an influential yet uncertain parameter in predicting the thermoacoustic stability of gas turbine combustors. We extend the semi-actuator disk model to cambered blades, using non-linear time-domain computations of turbine vane and stage cascades with acoustic forcing for validation data. Discretising cambered aerofoils into multiple disks improves reflection coefficient predictions, reducing error by up to an order of magnitude compared to a flat plate assumption. A parametric study of turbine stage designs using the analytical model shows acoustic impedance is a weak function of degree of reaction and polytropic efficiency. The design parameter with the strongest influence is flow coefficient, followed by axial velocity ratio and Mach number. We provide the combustion engineer with improved tools to predict impedance boundary conditions, and suggest thermoacoustic stability is most likely to be compromised by change in turbine flow coefficient.

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Hovem, Jens M., and Hefeng Dong. "Understanding Ocean Acoustics by Eigenray Analysis." Journal of Marine Science and Engineering 7, no. 4 (April 25, 2019): 118. http://dx.doi.org/10.3390/jmse7040118.

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Acoustics is important for all underwater systems for object detection, classification, surveillance systems, and communication. However, underwater acoustics is often difficult to understand, and even the most carefully conducted measurements may often give unexpected results. The use of theory and acoustic modelling in support of measurements is very important since theory tends to be better behaved and more consistent than experiments, and useful to acquire better knowledge about the physics principle. This paper, having a tutorial flair, concerns the use of ray modelling and in particular eigenray analysis to obtain increased knowledge and understanding of underwater acoustic propagation.

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5

Bo, Elena, Louena Shtrepi, David Pelegrín Garcia, Giulio Barbato, Francesco Aletta, and Arianna Astolfi. "The Accuracy of Predicted Acoustical Parameters in Ancient Open-Air Theatres: A Case Study in Syracusae." Applied Sciences 8, no. 8 (August 17, 2018): 1393. http://dx.doi.org/10.3390/app8081393.

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Nowadays, ancient open-air theatres are often re-adapted as performance spaces for the additional historical value they can offer to the spectators’ experience. Therefore, there has been an increasing interest in the modelling and simulation of the acoustics of such spaces. These open-air performance facilities pose several methodological challenges to researchers and practitioners when it comes to precisely measure and predict acoustical parameters. Therefore this work investigates the accuracy of predicted acoustical parameters, that is, the Reverberation Time (T20), Clarity (C80) and Sound Strength (G), taking the ancient Syracusae open-air theatre in Italy as a case study. These parameters were derived from both measured and simulated Impulse Responses (IR). The accuracy of the acoustic parameters predicted with two different types of acoustic software, due to the input variability of the absorption and scattering coefficients, was assessed. All simulated and measured parameters were in good agreement, within the range of one “just noticeable difference” (JND), for the tested coefficient combinations.

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Gorska, Natalia, Egil Ona, and Rolf Korneliussen. "Acoustic backscattering by Atlantic mackerel as being representative of fish that lack a swimbladder. Backscattering by individual fish." ICES Journal of Marine Science 62, no. 5 (January 1, 2005): 984–95. http://dx.doi.org/10.1016/j.icesjms.2005.03.010.

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Abstract Developing acoustic methods for the identification of fish remains a long-term objective of fisheries acoustics. The accuracy of abundance estimation may be increased when the acoustic-scattering characteristics of the fish are known, including their expected variability and uncertainty. The modelling approach is valuable during the process of interpreting multi-frequency echograms. This paper attempts to improve the understanding of sound backscattering of fish without a swimbladder, here represented by Atlantic mackerel (Scomber scombrus). Our approach includes results from modelling as well as comparisons with field data. There will be two papers. The first is a study of the non-averaged backscattering characteristics. This initial analysis is important for the understanding of the averaged backscattering cross-section, which will be considered in the second paper. In that paper the relative importance of bones in acoustic backscattering at higher frequencies will be verified.

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7

Nurminen, Markku, Maija Hyt�nen, and Eeva Sala. "Modelling the reproducibility of acoustic rhinometry." Statistics in Medicine 19, no. 9 (May 15, 2000): 1179–89. http://dx.doi.org/10.1002/(sici)1097-0258(20000515)19:9<1179::aid-sim420>3.0.co;2-k.

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8

Layton, Martin, and Mark Gales. "Acoustic Modelling Using Continuous Rational Kernels." Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 48, no. 1-2 (May 5, 2007): 67–82. http://dx.doi.org/10.1007/s11265-006-0027-4.

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9

Papamoschou, Dimitri. "Modelling of noise reduction in complex multistream jets." Journal of Fluid Mechanics 834 (November 17, 2017): 555–99. http://dx.doi.org/10.1017/jfm.2017.730.

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The paper presents a low-order prediction scheme for the noise change in multistream jets when the nozzle geometry is altered from a known baseline. The essence of the model is to predict the changes in acoustics due to the redistribution of the mean flow as computed by a Reynolds-averaged Navier–Stokes (RANS) solver. A RANS-based acoustic analogy framework is developed that addresses the noise in the polar direction of peak emission and uses the Reynolds stress as a time-averaged representation of the action of the coherent turbulent structures. The framework preserves the simplicity of the Lighthill acoustic analogy, using the free-space Green’s function, while accounting for azimuthal effects via special forms for the space–time correlation combined with source–observer relations based on the Reynolds stress distribution in the jet plume. Results are presented for three-stream jets with offset secondary and tertiary flows that reduce noise in specific azimuthal directions. The model reproduces well the experimental noise reduction trends. Principal mechanisms of noise reduction are elucidated.

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10

Kirkup. "The Boundary Element Method in Acoustics: A Survey." Applied Sciences 9, no. 8 (April 19, 2019): 1642. http://dx.doi.org/10.3390/app9081642.

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The boundary element method (BEM) in the context of acoustics or Helmholtz problems is reviewed in this paper. The basis of the BEM is initially developed for Laplace’s equation. The boundary integral equation formulations for the standard interior and exterior acoustic problems are stated and the boundary element methods are derived through collocation. It is shown how interior modal analysis can be carried out via the boundary element method. Further extensions in the BEM in acoustics are also reviewed, including half-space problems and modelling the acoustic field surrounding thin screens. Current research in linking the boundary element method to other methods in order to solve coupled vibro-acoustic and aero-acoustic problems and methods for solving inverse problems via the BEM are surveyed. Applications of the BEM in each area of acoustics are referenced. The computational complexity of the problem is considered and methods for improving its general efficiency are reviewed. The significant maintenance issues of the standard exterior acoustic solution are considered, in particular the weighting parameter in combined formulations such as Burton and Miller’s equation. The commonality of the integral operators across formulations and hence the potential for development of a software library approach is emphasised.

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11

Vorländer, Michael. "Virtual Acoustics." Archives of Acoustics 39, no. 3 (March 1, 2015): 307–18. http://dx.doi.org/10.2478/aoa-2014-0036.

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Abstract Virtual Reality (VR) systems are used in engineering, architecture, design and in applications of biomedical research. The component of acoustics in such VR systems enables the creation of audio-visual stimuli for applications in room acoustics, building acoustics, automotive acoustics, environmental noise control, machinery noise control, and hearing research. The basis is an appropriate acoustic simulation and auralization technique together with signal processing tools. Auralization is based on time-domain modelling of the components of sound source characterization, sound propagation, and on spatial audio technology. Whether the virtual environment is considered sufficiently accurate or not, depends on many perceptual factors, and on the pre-conditioning and immersion of the user in the virtual environment. In this paper the processing steps for creation of Virtual Acoustic Environments and the achievable degree of realism are briefly reviewed. Applications are discussed in examples of room acoustics, archeological acoustics, aircraft noise, and audiology.

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12

Hasnul Hadi, Nur Amira, Arshad Ahmad, and Olagoke Oladokun. "Modelling pressure distribution in sonicated ethanol solution using COMSOL simulation." E3S Web of Conferences 90 (2019): 02003. http://dx.doi.org/10.1051/e3sconf/20199002003.

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Ultrasound application has been reported to assist chemical processes as a result of various physiochemical effects during acoustic cavitation phenomena in a liquid. In this study, acoustic pressure distribution in ethanol solution induced by ultrasonic waves in a sonoreactor was investigated using COMSOL Multiphysics software. The variations of acoustic pressure distribution in ethanol liquid were investigated through a single-phase incompressible model developed by varying the frequency of an ultrasonic transducer. The simulation in COMSOL Multiphysics shows that the acoustic wave emitted from the bottom of the sonoreactor generated multiple layers of high acoustic pressure distribution. The fluctuating pressure magnitude along the sonoreactor shows that constructive interference produced high acoustic pressure region whereas destructive interference resulted in low acoustic pressure. Meanwhile, the distance over sound wave can travel before attenuation occurs is much further at 60 kHz. These results support the theory that wave attenuation is strongly frequency dependent.

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13

Edjeou, T., T. Gryba, V. Zhang, V. Sadaune, and J. E. Lefebvre. "Modelling of heterojunction acoustic charge transport devices." Solid-State Electronics 44, no. 7 (July 2000): 1127–33. http://dx.doi.org/10.1016/s0038-1101(00)00047-2.

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14

Fan, Yibo, Fengshou Gu, and Andrew Ball. "Modelling acoustic emissions generated by sliding friction." Wear 268, no. 5-6 (February 2010): 811–15. http://dx.doi.org/10.1016/j.wear.2009.12.010.

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15

Coakley, K. J., A. V. Clark, and C. S. Hehman. "Empirical modelling of electromagnetic acoustic transducer data." Measurement Science and Technology 11, no. 3 (January 26, 2000): 193–200. http://dx.doi.org/10.1088/0957-0233/11/3/304.

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16

Boesing, Matthias, Andreas Hofmann, and Rik De Doncker. "Universal acoustic modelling framework for electrical drives." IET Power Electronics 8, no. 5 (May 2015): 693–99. http://dx.doi.org/10.1049/iet-pel.2014.0658.

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17

Shen, W. Z., and J. N. Sørensen. "Aero-Acoustic Modelling using Large Eddy Simulation." Journal of Physics: Conference Series 75 (July 1, 2007): 012085. http://dx.doi.org/10.1088/1742-6596/75/1/012085.

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18

Gerasimov, S. I., and T. V. Sych. "Finite element modelling of acoustic emission sensor." Journal of Physics: Conference Series 881 (August 2017): 012003. http://dx.doi.org/10.1088/1742-6596/881/1/012003.

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19

Ratolojanahary, F. E., T. Gryba, and F. Lahatra Razafindramisa. "Contact modelling of heterojunction acoustic transport devices." IEE Proceedings - Circuits, Devices and Systems 151, no. 4 (2004): 322. http://dx.doi.org/10.1049/ip-cds:20040110.

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20

Gerges, Samir N. Y., Márcio R. Kimura, and J. L. Bento Coelho. "Acoustic Modelling and Measurements of Engine Mufflers." Building Acoustics 5, no. 1 (March 1998): 27–38. http://dx.doi.org/10.1177/1351010x9800500103.

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Most buildings such as hospitals, hotels, governmental offices, data processing rooms, etc, are equipped with internal combustion engines, diesel motors and generators to supply energy in emergencies. These same IC engines are used for industrial applications, building services and transportation. Exhaust noise are the predominant noise source with most internal combustion engines and thus exhaust systems incorporating mufflers have been designed to reduce the noise. This paper describes the analysis of several configurations of mufflers and also presents comparisons between the results for the transmission loss obtained by numerical modelling (FEM), Transfer Matrix Method (TMM) and measurements.

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21

Wiltshire, Michael, and Leslle Huggard. "Acoustic wave velocity modelling in sedimentary sequences." Exploration Geophysics 31, no. 1-2 (March 2000): 401–8. http://dx.doi.org/10.1071/eg00401.

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22

Hornikx, Maarten. "Acoustic modelling for indoor and outdoor spaces." Journal of Building Performance Simulation 8, no. 1 (January 2, 2015): 1–2. http://dx.doi.org/10.1080/19401493.2015.1001616.

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23

Boufermel, Abdennour, Nicolas Joly, and Pierrick Lotton. "Numerical modelling of acoustic streaming in resonators." Journal of the Acoustical Society of America 123, no. 5 (May 2008): 3707. http://dx.doi.org/10.1121/1.2935130.

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24

Licitra, Gaetano, Antonino Moro, Luca Teti, Alessandro Del Pizzo, and Francesco Bianco. "Modelling of acoustic ageing of rubberized pavements." Applied Acoustics 146 (March 2019): 237–45. http://dx.doi.org/10.1016/j.apacoust.2018.11.009.

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25

Best, P. R., M. Kanowski, L. Stùmer, and D. Green. "Convective dispersion modelling utilising acoustic sounder information." Atmospheric Research 20, no. 2-4 (December 1986): 173–97. http://dx.doi.org/10.1016/0169-8095(86)90023-2.

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26

Thorne, Peter D., Iain T. MacDonald, and Christopher E. Vincent. "Modelling acoustic scattering by suspended flocculating sediments." Continental Shelf Research 88 (October 2014): 81–91. http://dx.doi.org/10.1016/j.csr.2014.07.003.

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27

ARDID, M., J. RAMIS, V. ESPINOSA, J. A. MARTÍNEZ-MORA, F. CAMARENA, J. ALBA, and V. SANCHEZ-MORCILLO. "FIRST ACTIVITIES IN ACOUSTIC DETECTION OF PARTICLES IN UPV." International Journal of Modern Physics A 21, supp01 (July 2006): 137–41. http://dx.doi.org/10.1142/s0217751x06033519.

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The first activities related to acoustic detection of particles by DISAO research group in the Univesitat Politècnica de València are described. We are applying some techniques from physic, engineering and oceanographic acoustics to face the high energy neutrino underwater acoustic detection challenge. The work is focused mainly in two topics: design, characterization and calibration of hydrophones, and simulation of the propagation of the signal in the sea. We present also some examples for these two topics: piezoelectric modelling and transducer simulation, calibration of hydrophones using MLS signals, and evaluation of the contribution of the sea surface noise to the deep water noise in the Mediterranean Sea by means of simulations of propagation of sound.

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28

Valmont, Elizabeth, and Brendan Smith. "Case study: Acoustic considerations, modelling, and auralization for large scale acoustic sculptures." Journal of the Acoustical Society of America 146, no. 4 (October 2019): 2979. http://dx.doi.org/10.1121/1.5137313.

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29

Scalo, Carlo, Sanjiva K. Lele, and Lambertus Hesselink. "Linear and nonlinear modelling of a theoretical travelling-wave thermoacoustic heat engine." Journal of Fluid Mechanics 766 (February 5, 2015): 368–404. http://dx.doi.org/10.1017/jfm.2014.745.

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AbstractWe have carried out three-dimensional Navier–Stokes simulations, from quiescent conditions to the limit cycle, of a theoretical travelling-wave thermoacoustic heat engine (TAE) composed of a long variable-area resonator shrouding a smaller annular tube, which encloses the hot (HHX) and ambient (AHX) heat exchangers, and the regenerator (REG). Simulations are wall-resolved, with no-slip and adiabatic conditions enforced at all boundaries, while the heat transfer and drag due to the REG and HXs are modelled. HHX temperatures have been investigated in the range 440–500 K with the AHX temperature fixed at 300 K. The initial exponential growth of acoustic energy is due to a network of travelling waves thermoacoustically amplified by looping around the REG/HX unit in the direction of the imposed temperature gradient. A simple analytical model demonstrates that such instability is a localized Lagrangian thermodynamic process resembling a Stirling cycle. An inviscid system-wide linear stability model based on Rott’s theory is able to accurately predict the operating frequency and the growth rate, exhibiting properties consistent with a supercritical Hopf bifurcation. The limit cycle is governed by acoustic streaming – a rectified steady flow resulting from high-amplitude nonlinear acoustics. Its key features are explained with an axially symmetric incompressible model driven by the wave-induced stresses extracted from the compressible calculations. These features include Gedeon streaming, Rayleigh streaming in the resonator, and mean recirculations due to flow separation. The first drives the mean advection of hot fluid from the HHX to a secondary heat exchanger (AHX2), in the thermal buffer tube (TBT), necessary to achieve saturation of the acoustic energy growth. The direct evaluation of the nonlinear energy fluxes reveals that the efficiency of the device deteriorates with the drive ratio and that the acoustic power in the TBT is balanced primarily by the mean advection and thermoacoustic heat transport.

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30

GALIANO, I., E. SANCHIS, F. CASACUBERTA, and I. TORRES. "ACOUSTIC-PHONETIC DECODING OF SPANISH CONTINUOUS SPEECH." International Journal of Pattern Recognition and Artificial Intelligence 08, no. 01 (February 1994): 155–80. http://dx.doi.org/10.1142/s0218001494000073.

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The design of current acoustic-phonetic decoders for a specific language involves the selection of an adequate set of sublexical units, and a choice of the mathematical framework for modelling the corresponding units. In this work, the baseline chosen for continuous Spanish speech consists of 23 sublexical units that roughly correspond to the 24 Spanish phonemes. The process of selection of such a baseline was based on language phonetic criteria and some experiments with an available speech corpora. On the other hand, two types of models were chosen for this work, conventional Hidden Markov Models and Inferred Stochastic Regular Grammars. With these two choices we could compare classical Hidden Markov modelling where the structure of a unit-model is deductively supplied, with Grammatical Inference modelling where the baseforms of model-units are automatically generated from training samples. The best speaker-independent phone recognition rate was 64% for the first type of modelling, and 66% for the second type.

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31

Joly, Nicolas, and Petr Honzík. "Numerical Modelling of Boundary Layers and Far Field Acoustic Propagation in Thermoviscous Fluid." Acta Acustica united with Acustica 105, no. 6 (November 1, 2019): 1137–48. http://dx.doi.org/10.3813/aaa.919392.

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To model linear acoustics in a thermoviscous fluid in open domain and time-harmonic regime, a Finite Element formulation in a bounded meshed domain is combined with the integral representation of the field for the propagative solution. The integrals are non-singular and involve the only Finite Element node values for temperature variation and particle velocity variables. To overcome the non-uniqueness of solutions at fictitious resonant frequencies, a Burton-Miller combination of integral representation is used. This formulation is suitable to compute acoustic radiation, scattering and diffraction by objects or mutual interaction between transducers. Two-dimensional computational experiments are presented in an infinite, open domain (exterior), showing that the model can be achieved in meshing only a thin domain surrounding the physical boundaries of a device.

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32

Martinčić–Ipšić, Sanda, Slobodan Ribarić, and Ivo Ipšić. "Acoustic Modelling for Croatian Speech Recognition and Synthesis." Informatica 19, no. 2 (January 1, 2008): 227–54. http://dx.doi.org/10.15388/informatica.2008.211.

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33

Gudvangen, S. "Modelling of acoustic transfer functions for echo cancellers." IEE Proceedings - Vision, Image, and Signal Processing 142, no. 1 (1995): 47. http://dx.doi.org/10.1049/ip-vis:19951559.

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34

O'Connor, W., and F. Cavanagh. "Transmission line matrix acoustic modelling on a PC." Applied Acoustics 50, no. 3 (March 1997): 247–55. http://dx.doi.org/10.1016/s0003-682x(96)00069-2.

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35

Allam, Sabry, and Mats Åbom. "Acoustic modelling and testing of diesel particulate filters." Journal of Sound and Vibration 288, no. 1-2 (November 2005): 255–73. http://dx.doi.org/10.1016/j.jsv.2005.01.004.

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36

Niesler, Thomas. "Language-dependent state clustering for multilingual acoustic modelling." Speech Communication 49, no. 6 (June 2007): 453–63. http://dx.doi.org/10.1016/j.specom.2007.04.001.

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Kamper, Herman, Félicien Jeje Muamba Mukanya, and Thomas Niesler. "Multi-accent acoustic modelling of South African English." Speech Communication 54, no. 6 (July 2012): 801–13. http://dx.doi.org/10.1016/j.specom.2012.01.008.

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38

Gerasimov, S. I., and T. V. Sych. "Numerical modelling and experimental analysis of acoustic emission." Journal of Physics: Conference Series 1015 (May 2018): 032039. http://dx.doi.org/10.1088/1742-6596/1015/3/032039.

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39

Warszawski, A., W. J. Mansur, and D. Soares. "Analytical time integration for BEM axisymmetric acoustic modelling." International Journal for Numerical Methods in Engineering 73, no. 13 (August 29, 2007): 1989–2010. http://dx.doi.org/10.1002/nme.2163.

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40

Orme, E. A., P. B. Johns, and J. M. Arnold. "A hybrid modelling technique for underwater acoustic scattering." International Journal of Numerical Modelling: Electronic Networks, Devices and Fields 1, no. 4 (December 1988): 189–206. http://dx.doi.org/10.1002/jnm.1660010404.

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41

Basir, Hadi Mahdavi, Abdolrahim Javaherian, Zaher Hossein Shomali, Roohollah Dehghani Firouz-Abadi, and Shaban Ali Gholamy. "Acoustic wave propagation simulation by reduced order modelling." Exploration Geophysics 49, no. 3 (June 2018): 386–97. http://dx.doi.org/10.1071/eg16144.

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42

Hornikx, Maarten, Constant Hak, and Remy Wenmaekers. "Acoustic modelling of sports halls, two case studies." Journal of Building Performance Simulation 8, no. 1 (October 3, 2014): 26–38. http://dx.doi.org/10.1080/19401493.2014.959057.

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43

Haqshenas, S. R., I. J. Ford, and N. Saffari. "Modelling the effect of acoustic waves on nucleation." Journal of Chemical Physics 145, no. 2 (July 14, 2016): 024315. http://dx.doi.org/10.1063/1.4955202.

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44

Salvatore, F., and S. Ianniello. "Preliminary results on acoustic modelling of cavitating propellers." Computational Mechanics 32, no. 4-6 (December 1, 2003): 291–300. http://dx.doi.org/10.1007/s00466-003-0486-4.

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45

Banda, Pedro A., Wojciech B. Wlodarski, and James R. Scott. "Modelling aspects of surface acoustic wave gas sensors." Sensors and Actuators A: Physical 42, no. 1-3 (April 1994): 638–42. http://dx.doi.org/10.1016/0924-4247(94)80068-5.

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46

Ferrari, A. "Modelling approaches to acoustic cavitation in transmission pipelines." International Journal of Heat and Mass Transfer 53, no. 19-20 (September 2010): 4193–203. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2010.05.042.

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47

Gelius, Leiv J. "3-D acoustic modelling of edge diffractions — revisited." Studia Geophysica et Geodaetica 56, no. 2 (March 2, 2012): 433–56. http://dx.doi.org/10.1007/s11200-011-9050-4.

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48

Moore, G. R. "Sabine: parametric data input language for acoustic modelling." Computer-Aided Design 18, no. 7 (September 1986): 396. http://dx.doi.org/10.1016/0010-4485(86)90269-1.

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49

ETTER, P. C. "RECENT ADVANCES IN UNDERWATER ACOUSTIC MODELLING AND SIMULATION." Journal of Sound and Vibration 240, no. 2 (February 2001): 351–83. http://dx.doi.org/10.1006/jsvi.2000.3212.

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50

Kim, S. M., and M. J. Brennan. "Modelling a Structural-Acoustic Coupled System with an Equivalent Lumped Parameter Mechanical System." Journal of Vibration and Acoustics 121, no. 4 (October 1, 1999): 453–59. http://dx.doi.org/10.1115/1.2894002.

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Abstract:

This paper describes the way in which a structural acoustic coupled system can be modelled using an equivalent lumped parameter mechanical model. The impedance-mobility approach is first used to model the system, and by relating the physical parameters to equivalent mass and stiffness, lumped parameter models can be derived provided that damping in the acoustic system is neglected in all modes, but the first (zero order) mode. A limitation of this approach, however, is that these simple mechanical models formulated in terms of the uncoupled structural and acoustic modes are only possible for either a single structural mode coupled to many acoustic modes, or a single acoustic mode coupled to many structural modes. These models facilitate physical insight into the dynamic behavior of a lightly-damped structural-acoustic system at frequencies close to the resonance frequencies of the coupled system.

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