Relevant bibliographies by topics / Acoustic modelling

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Acoustic modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Acoustic modelling"

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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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T., Pazara. "Sound propagation modelling in a lecture hall." Scientific Bulletin of Naval Academy XXII, no. 2 (December 15, 2019): 276–83. http://dx.doi.org/10.21279/1454-864x-19-i2-033.

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For lecture halls, intelligibility of speech is the most important aspect. To achieve a relative uniform distribution of sound among the listeners, a number of parameters must be taken into account. One method to speed up the design process of a lecture hall is to model the sound propagation in that room using computer acoustic software. In this paper, the authors have chosen a lecture hall from Naval Academy and made numerous simulations to discover what are the week points regarding the acoustics of this room. The acoustical parameters obtained from simulations are compared with the desired ones and a few remarks for the improvement of the room are made.
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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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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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Smith, Michael. "Modelling approaches to multibeam echosounders for sound field characterization." Journal of the Acoustical Society of America 156, no. 3 (September 1, 2024): 1552–64. http://dx.doi.org/10.1121/10.0028338.

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Concern over the impact of multibeam echosounders (MBES) on marine life has increased in recent years. A thorough impact assessment of acoustic sources requires both accurate modeling of the source and radiated sound field, and a biological assessment. The Joint Industry Program Acoustic Modelling Workshop in 2022 provided a set of verification scenarios for a deep-water MBES to compare modelling approaches and assess agreement across models. This work presents several relevant models designed to compute both the MBES beam patterns and propagated acoustic field. Key acoustic metrics used in impact assessment were calculated and compared using these models. The work confirmed that geometrical acoustics is well suited to the unique radiation patterns of MBES. Ray-tracing programs are relevant as well at short ranges and at long horizontal distances in the presence of large sound speed gradients. The estimation of cumulative sound exposure along a survey track is most often dominated by exposure to the main transmit beam of each sector. Accurate modelling of the near field was demonstrated to have a direct impact on final acoustic metrics and threshold ranges for various marine mammal hearing groups.
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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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Havrylko, Valeriia. "Development of a mathematical model of acoustic processes in the Opera Studio of the Kyiv Conservatory." Technology audit and production reserves 6, no. 1(80) (December 4, 2024): 6–10. https://doi.org/10.15587/2706-5448.2024.316558.

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The object of this study is the acoustic characteristics of a concert hall, with a particular focus on the reverberation time, which significantly affects both the perception of sound by listeners and the performance of musicians. The study emphasises the importance of mathematical modelling of acoustic processes in concert halls, especially in optimising reverberation time. In the context of modern materials and advanced acoustic design technologies, precise calculations and analyses are required to evaluate the impact of various elements on a room’s overall acoustics. Poor design or material selection can result in listener discomfort and reduced sound quality, highlighting the critical role of scientific methods in analysing and modelling acoustic processes under specific conditions. The research utilised mathematical models developed in MATLAB® software to calculate reverberation time based on different materials and their surface areas. The key findings demonstrate that mathematical models can accurately simulate acoustic processes in a room, enabling predictions of acoustic characteristics based on defined parameters. The correlation between theoretical calculations and experimental data confirms that mathematical modelling is an effective tool for improving the acoustic quality of concert halls, considering the use of different materials. The practical significance of the results lies in the ability to implement recommendations for optimising acoustic conditions in concert halls. The identified parameters can guide the design of spaces for musical events and enhance methods of acoustic design. Applying these findings in practice can improve sound quality, thereby increasing listener comfort and enhancing the overall perception of music.
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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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Kushida, Noriyuki, and Ying-Tsong Lin. "High-performance computation toward large-scale underwater acoustics modelling." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A270. http://dx.doi.org/10.1121/10.0018814.

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The complex nature of the ocean has long presented a challenge for researchers in the field of oceanography, including in the area of underwater acoustics. As a result, significant efforts have been made to develop accurate numerical models to better understand and study the ocean. Established models such as Acoustic Toolbox and Range-dependent Acoustic Models have proven to be effective for modelling sound propagation. However, these models were designed to run on single-core computers, and there is potential to optimise their performance on modern systems. The use of General-purpose graphics processing units (GPGPUs) and Single Instruction/Multiple Data (SIMD) computing units is one way to achieve this optimization. In addition to improving the computational speed of established models, these optimized models can also contribute to implementing more sophisticated modelling approaches, such as broad-band modelling. In this study, we will discuss the optimized performance of established codes, particularly those based on parabolic equation methods (PE), and also discuss the results of advanced modelling techniques.
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Djambazov, Georgi. "Time-Dependent Numerical Modelling of Acoustic Cavitation in Liquid Metal Driven by Electromagnetic Induction." Fluids 8, no. 3 (February 22, 2023): 79. http://dx.doi.org/10.3390/fluids8030079.

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The numerically simulated method of using electromagnetic field from an alternating current is a patented method to create in liquid metal, under the conditions of resonance, acoustic waves of sufficient strength to cause cavitation and implosion of gas bubbles, leading to beneficial degassing and grain refinement. The modelling stages of electromagnetics are described below along with acoustics in liquids, bubble dynamics, and their interactions. Sample results are presented for a cylindrical container with liquid aluminium surrounded by an induction coil. The possibility of establishing acoustic resonance and sustaining the bubble oscillation at a useful level is demonstrated. Limitations of the time-dependent approach to this multi-physics modelling problem are also discussed.
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Dissertations / Theses on the topic "Acoustic modelling"

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Ribichini, Remo. "Modelling of electromagnetic acoustic transducers." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/9010.

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At present, the dominant technology for transducers in the field of Ultrasonic Non-Destructive Testing is piezoelectric. However, some industrially important applications, like the inspection of components operating at high temperature or while in motion, are difficult tasks for standard piezoelectric probes since mechanical contact is required. In these cases, contactless NDT techniques can be an attractive alternative. Among the available options, Electromagnetic Acoustic Transducers (EMATs) can generate and detect ultrasonic waves without the need for a physical contact between the probe and the test object, as their operation relies on electromagnetic, rather than mechanical coupling. Since EMATs do not require any coupling liquid, the experimental procedures for inspection set-up are simplified and a source of uncertainty is eliminated, yielding highly reproducible tests that make EMATs suitable to be used as calibration probes for other ultrasonic tests. A further advantage of EMATs is the possibility of exciting several wave-modes by appropriate design of the transducer. Unfortunately, EMATs are also characterized by a relatively low signal-to-noise ratio and by a complex operation relying on different transduction mechanisms that make their performance dependent on the material properties of the testpiece. The present work aims to develop a numerical model including the main transduction mechanisms, the Lorentz force and magnetostriction, that can be employed as a prediction tool to improve the understanding of EMAT operation. Following an overview on the historical development of EMATs and their models, the theory describing EMAT operation is presented. The governing equations are implemented into a commercial Finite Element package. The multi physics model includes the simulation of the static and dynamic magnetic fields coupled to the elastic fields through custom constitutive equations to include magnetostriction effects. The model is used to quantitatively predict the performance of a magnetostrictive EMAT configuration for guided waves without employing arbitrary parameters. The results are compared to experimental data providing a validation of the model and insight on the transduction process. The validated model, together with experimental tests, is exploited to investigate the performance of different EMAT designs for Shear Horizontal waves in plates. The sensitivities of each configuration are compared and the effect of key design parameters is analyzed. Finally, the model is used in the evaluation of the performance of bulk wave EMATs on a wide range of steel grades. Experimental data interpreted via numerical simulations are employed to investigate the relative weight of the transduction mechanisms, with implications on the applicability of EMATs on the range of steels usually encountered in inspections.
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Ramanathan, Sathish Kumar. "Linear Acoustic Modelling and Testing of Exhaust Mufflers." Thesis, KTH, Aeronautical and Vehicle Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4340.

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<p>Intake and Exhaust system noise makes a huge contribution to the interior and exterior noise of automobiles. There are a number of linear acoustic tools developed by institutions and industries to predict the acoustic properties of intake and exhaust systems. The present project discusses and validates, through measurements, the proper modelling of these systems using BOOST-SID and discusses the ideas to properly convert a geometrical model of an exhaust muffler to an acoustic model. The various elements and their properties are also discussed.</p><p>When it comes to Acoustic properties there are several parameters that describe the performance of a muffler, the Transmission Loss (TL) can be useful to check the validity of a mathematical model but when we want to predict the actual acoustic behavior of a component after it is installed in a system and subjected to operating conditions then we have to determine other properties like Attenuation, Insertion loss etc,.</p><p>Zero flow and Mean flow (M=0.12) measurements of these properties were carried out for mufflers ranging from simple expansion chambers to complex geometry using two approaches 1) Two Load technique 2) Two Source location technique. For both these cases, the measured transmission losses were compared to those obtained from BOOST-SID models.</p><p>The measured acoustic properties compared well with the simulated model for almost all the cases.</p>
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Hurrell, Andrew M. "Finite difference modelling of acoustic propagation and its applications in underwater acoustics." Thesis, University of Bath, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250842.

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Ajaz, Mahnoor. "Finite Difference Time Domain Modelling of Ultrasonic Parametric Arrays in Two-Dimensional Spaces." The Ohio State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1619109761801613.

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Laurinčiukaitė, Sigita. "Acoustic modelling of Lithuanian speech recognition." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080626_121551-77545.

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This paper is devoted to an acoustic modelling of Lithuanian speech recognition. Word-, syllable-, contextual syllable-, phoneme- and contextual phoneme-based speech recognition was investigated. Investigations were performed for isolated words and continuous speech. The most popular sub-word units in Lithuanian speech recognition are phonemes and contextual phonemes, and research on other sub-word units is omitted. This paper aims to compare capacity of linguistic sub-word units to model speech and to demonstrate that investigation of sub-word units suggest using alternative sub-word units to phoneme and contextual phoneme. The dissertation proposes a new methodology for acoustic modelling of syllables and phonemes, new sub-word unit – pseudo-syllable; technologies for acoustic modelling of separate sub-word units, including developed schemes, tools and recommendations. Speech corpus of isolated words was prepared and two versions of corpus of continuous speech LRN were developed for experimental research. Investigation of recognition of isolated words and construction of acoustic models for words showed that a size of training set of acoustic models, a content of training set in regard to number of speakers have an influence on speech recognition accuracy. The recommendations for word-based acoustic modelling are given. Investigation of recognition of isolated words and construction of acoustic models for words, syllables and phonemes showed that the best recognition... [to full text]<br>Darbas „Lietuvių šnekos atpažinimo akustinis modeliavimas“ yra skirtas lietuvių šnekos atpažinimo akustiniam modeliavimui. Darbe buvo tirtas žodžiais, skiemenimis, kontekstiniais skiemenimis, fonemomis ir kontekstinėmis fonemomis grįstas šnekos atpažinimas. Tyrimai atlikti izoliuotiems žodžiams ir ištisinei šnekai. Iki šiol lietuvių šnekos atpažinime populiariausi kalbos vienetai buvo fonema ir kontekstinė fonema, o kitų kalbos vienetų analizė nebuvo atliekama. Šiame darbe siekiama palyginti lingvistinio tipo kalbos vienetų gebėjimą modeliuoti šneką ir parodyti, kad kalbos vienetų analizė siūlo alternatyvius fonemai ir kontekstinei fonemai kalbos vienetus. Darbe pasiūlyta metodika mišriam skiemenų ir fonemų akustiniam modeliavimui, naujas kalbos vienetas – pseudo-skiemuo; technologijos atskirų kalbos vienetų akustiniam modeliavimui (schemos, įrankiai, rekomendacijos). Eksperimentiniams tyrimams atlikti paruoštas izoliuotų žodžių garsynas ir sukurtos dvi ištisinės šnekos garsyno LRN versijos. Ištyrus izoliuotų žodžių atpažinimą, akustinius modelius konstruojant žodžiams, nustatyta, kad modelių mokymo aibės dydis, akustinių modelių mokymo aibės turinys daro įtaką šnekos atpažinimo tikslumui. Pateikiamos rekomendacijos akustiniam modeliavimui žodžių pagrindu. Ištyrus izoliuotų žodžių atpažinimą, akustinius modelius konstruojant žodžiams, skiemenims ir fonemoms, gauti rezultatai 98 ±1,8 % tikslumu siejami su skiemens tipo kalbos vienetais. Dėl skiemenų akustinio modeliavimo... [toliau žr. visą tekstą]
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Wong, Lawdy Siu Shan. "Auditorium acoustic modelling on chaotic realisation." Thesis, Oxford Brookes University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.394625.

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Oxnard, Stephen. "Efficient hybrid virtual room acoustic modelling." Thesis, University of York, 2016. http://etheses.whiterose.ac.uk/17459/.

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This thesis investigates approaches to virtual room acoustic modelling and auralisation in order to a develop hybrid modelling solution that is capable of efficient and accurate simulation of enclosed sound propagation. Emphasis is placed on the advantages and disadvantages of state of the art numerical and geometric acoustic modelling methods. Numerical methods have been shown to preserve important sound wave characteristics such as diffraction and room modes, and are considered more accurate for low frequency acoustic modelling than geometric techniques which fail to preserve such wave effects. However, the implementation of numerical acoustic models inherently requires large computational effort compared to more efficient geometric techniques such as ray-tracing. This is particularly problematic for simulations of large-scale 3D acoustic environments and for high spatio-temporal sampling rates. A novel acoustic modelling solution is presented, which seeks to circumvent the disadvantageous computational requirements of 3D numerical models while producing a suitable approximation to low frequency sound behaviour. This modelling technique incorporates multiple planar cross-sectional 2D Finite Difference schemes that are utilised in combination to synthesise low frequency wave propagation throughout the target acoustic field. In this way a subset of prominent low frequency sound wave characteristics may be emulated with low computational cost compared to 3D numerical schemes. These low-frequency results can then be combined with the high-frequency output from efficient geometric simulations to create a hybrid model providing accurate broadband results at a relatively low computational cost. Investigation of room impulse response rendering for a series of theoretic and real spaces demonstrates advantages of this new hybrid acoustic modelling technique over purely ray-based methods in terms of low frequency accuracy, and over 3D numerical methods in terms of computational efficiency. Conclusions are drawn from objective measurements obtained from simulation results of the virtual models produced. Results demonstrate the applicability of the novel hybrid approach to the enhancement of purely ray-based room impulse response rendering by which a more realistic representation of low frequency wave phenomena may be simulated in an efficient manner, improving the theoretical accuracy of objective and audible results. This study contributes towards research and design of high-speed, interactive virtual acoustic simulations appropriate for industrial and creative virtual reality applications.
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Hunter, Alan Joseph. "Underwater Acoustic Modelling for Synthetic Aperture Sonar." Thesis, University of Canterbury. Electrical and Computer Engineering, 2006. http://hdl.handle.net/10092/1117.

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Underwater acoustic modelling is an important aspect of Synthetic Aperture Sonar (SAS) system design and algorithm development. Sea-trials are an expensive and time-consuming exercise and simulations provide an efficient and economic alternative. However, there are few simulators (in the open literature) that can efficiently provide realistic SAS data for large, complicated scenes. Conventional side-scan sonar simulators are not suitable for SAS data simulation. These simulators utilise narrow-beam and narrow-band approximations; typical SAS systems are wide-beam and wide-band and these approximations are invalid. Moreover, conventional side-scan sonar is a non-coherent imaging technique and SAS processing relies on the phase. Existing SAS simulators are capable of modelling very simple scenes only. They utilise a decomposition of the scene into point or smooth facet primitives, which is very inefficient. Many primitives are required and this imposes a severe restriction on scene complexity and size. This thesis presents a rigorous mathematical framework for the modelling of SAS imagery. A novel acoustic scattering model is developed and its implementation in a wide-beam and wide-band, multiple-receiver Interferometric SAS (InSAS) simulator is detailed. The scattering model utilises a decomposition of the scene into rough (rather than smooth) facet primitives. The use of rough facet primitives provides a significant increase in computational efficiency since scenes are decomposed into fewer primitives. This facilitates the simulation of larger and more complicated scenes. Each rough facet is characterised by its far-field beampattern. The statistics of the beampattern are related to the facet shape and roughness statistics using the Kirchhoff approximation. The beampattern is realised from its first and second-order statistics. The SAS imagery is obtained using a coherent sum of the facet responses and occlusions and multiple-scattering are resolved by ray-tracing. The simulator is implemented for use on a parallel computing cluster. The simulator is shown to provide realistic SAS data that is qualitatively and quantitatively similar to real data. The simulated results are considered, in many ways, superior to the simulated results in the literature.
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Shannon, Sean Matthew. "Probabilistic acoustic modelling for parametric speech synthesis." Thesis, University of Cambridge, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708415.

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Zhang, Ning. "The computational modelling of electromagnetic acoustic imaging." Thesis, University of Oxford, 2015. https://ora.ox.ac.uk/objects/uuid:2c4c9946-b90c-43a3-9039-1c7df2dcd976.

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The Electromagnetic Acoustic (EMA) technique is a novel multi-modal technique for medical imaging. It is sensitive, in principle, to contrast in mechanical properties and electrical properties and has potential in a number of applications such as breast tumour detection where there will be contrast between diseased and healthy tissue and high intensity focused ultrasound monitoring, where there will be contrast when tissue is ablated. A complete computational model for the EMA imaging is developed. The model considers the linear or nonlinear propagation of ultrasound in soft tissue, the dynamic response of the viscoelastic soft tissue to acoustic radiation force (ARF) stimulation and scattering of electromagnetic waves with and without the Doppler effect. The suitability of the EMA imaging for breast tumour detection is evaluated, modelling a tumour as a spherical inclusion in an infinite homogeneous background tissue with clinically relevant material properties. The results show that variations of the mechanical properties of underlying healthy breast tissue and tumour tissue in clinically feasible range should result in a change in the amplitude of the first Doppler component (FDC) of up to 50%, and varying the electrical contrast leads to a change in the ratio of the FDC and unshifted component (UC) of less than 1 dB. The relative difference between the first Doppler component and the unshifted component is greater than 68 dB and therefore the frequency demodulation may pose a significant challenge if EMA imaging is used for breast tumour detection. The feasibility of using the EMA imaging for real-time monitoring of High Intensity Focused Ultrasound (HIFU) therapy is also investigated. Simulations conducted with realistic liver tissue properties show that the induced Doppler effect in the scattered EM wave is not well correlated with the growth of thermal lesion, therefore it is unlikely to be a good indicator of the lesion size. EMA imaging may not be appropriate for monitoring HIFU therapy.
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Books on the topic "Acoustic modelling"

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Etter, Paul C. Underwater Acoustic Modelling and Simulation. London: Taylor & Francis Group Plc, 2004.

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Wong, Lawdy Siu Shan. Auditorium acoustic modelling based on chaotic realisation. Oxford: Oxford Brookes University, 1999.

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Round, Carl Graham. Mathematical modelling of acoustic cavitation and sonoluminescence. Birmingham: University of Birmingham, 1997.

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Simms, Michael. Transmission -Line MAtrix Modelling of Acoustic Devices. Dublin: University College Dublin, 1997.

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Willison, Peter A. Transmission line matrix modelling of underwater acoustic propagation. Norwich: University of East Anglia, 1992.

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Hashimoto, Ken-ya. Surface Acoustic Wave Devices in Telecommunications: Modelling and Simulation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000.

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Owen, Raymond Harvey. Modelling of high frequency acoustic scattering from a moving rough surface. Birmingham: University of Birmingham, 1995.

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Hellström, Björn. Noise design: Architectural modelling and the aesthetics of urban acoustic space. Göteborg: Bo Ejeby Förlag., 2003.

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Xiang, Ning. A mobile universal measuring system for the binaural-acoustic modelling-technique. Dortmund: Bundesanstalt für Arbeitsschutz, 1991.

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Meglio, Alberto Di. Finite element-boundary elements modelling of acoustic scattering from viscoelastic anechoic structures. Birmingham: University of Birmingham, 2000.

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Book chapters on the topic "Acoustic modelling"

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Pohjolainen, Seppo, and Antti Suutala. "Acoustic Modelling." In Mathematical Modelling, 185–205. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27836-0_11.

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Feistel, Stefan, and Wolfgang Ahnert. "Acoustic Modelling – Basics." In Sound Reinforcement for Audio Engineers, 251–82. London: Focal Press, 2022. http://dx.doi.org/10.4324/9781003220268-8.

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Zhao, Rui, Guohua Tu, Jun Liang, and Chihyung Wen. "Acoustic Metasurface Modelling." In Stabilization of Hypersonic Boundary-Layer: Acoustic Metasurfaces, 49–79. Singapore: Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8623-7_3.

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Eyben, Florian. "Acoustic Features and Modelling." In Springer Theses, 9–122. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27299-3_2.

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Coates, Rodney F. W. "Ray Trace Modelling of Sonar Propagation." In Underwater Acoustic Systems, 52–72. London: Macmillan Education UK, 1990. http://dx.doi.org/10.1007/978-1-349-20508-0_4.

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Willison, P. A. "Normal Mode Modelling of Sonar Propagation." In Underwater Acoustic Systems, 73–89. London: Macmillan Education UK, 1990. http://dx.doi.org/10.1007/978-1-349-20508-0_5.

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Tacconi, Giorgio, and Antonio Tiano. "Applied Modelling to Underwater Vehicles Identification." In Underwater Acoustic Data Processing, 413–19. Dordrecht: Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-2289-1_45.

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Shadle, Christine H. "Articulatory-Acoustic Relationships in Fricative Consonants." In Speech Production and Speech Modelling, 187–209. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-2037-8_8.

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Mitter, Sanjoy K. "Modelling and Estimation for Random Fields." In Acoustic Signal Processing for Ocean Exploration, 391–412. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1604-6_36.

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Patsko, V. S., and V. L. Turova. "Numerical Solution to the Acoustic Homicidal Chauffeur Game." In System Modelling and Optimization, 227–49. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-0-387-35514-6_11.

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Conference papers on the topic "Acoustic modelling"

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VENA, A., G. M. INSOLERA, R. GIULIANI, T. FIORE, and G. PERCHIAZZI. "COMPUTER ANALYSIS OF ACOUSTIC RESPIRATORY SIGNALS." In Modelling Biomedical Signals. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812778055_0005.

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A. Barsottelli Botelho, M., and V. Pinheiro. "Acoustic Modelling in Biot Media." In 57th EAEG Meeting. Netherlands: EAGE Publications BV, 1995. http://dx.doi.org/10.3997/2214-4609.201409569.

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Goyder, H. G. D. "Modelling Acoustic Sources in Pipework." In ASME 2011 Pressure Vessels and Piping Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/pvp2011-57515.

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Abstract:
The internal gas flow within a pipework system can generate large noise levels which may be sufficient to cause vibration and fatigue damage. The sources of such noise can be modelled by means of acoustic oscillations of inflow and outflow from a point location. Single and multiple point locations (monopoles and dipoles) within pipework are analysed to determine the different wave structures they generate. Use is made of frequency domain methods within which the effects of damping can be included by using reflection coefficients which allow some energy to leave the system. In order to model the source strength some data (due to Graf and Ziada) are analysed to determine how the source is linked to the flow within the pipework. Use is again made of frequency domain methods to represent this data. The source is found to contain a mixture of negative and positive damping which depends on the flow rate in a non-linear manner. Throughout this investigation the physical nature of the mechanisms involved is emphasised and the use of frequency domain methods is found to be successful.
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Kallman, M., and H. Wicklander. "Submarine Acoustic Target Strength Modelling." In Warship 99. RINA, 1999. http://dx.doi.org/10.3940/rina.ws.1999.16.

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Hazzard, J. F., S. C. Maxwell, and R. P. Young. "Micromechanical Modelling of Acoustic Emissions." In SPE/ISRM Rock Mechanics in Petroleum Engineering. Society of Petroleum Engineers, 1998. http://dx.doi.org/10.2118/47320-ms.

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WRIGHT, JR. "ACOUSTIC MODELLING OF ENCLOSED SPACES." In Reproduced Sound 1996. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/19932.

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AINSLIE, MA, CH HARRISON, and PW BURNS. "REVERBERATION MODELLING WITH INSIGHT." In Underwater Acoustic Scattering 1994. Institute of Acoustics, 2024. http://dx.doi.org/10.25144/20370.

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Rusovici, Razvan, and Daniel Mason. "Coupled Acoustic-Structural-Piezoelectric Modeling of Synthetic Jet." In Modelling, Identification and Control. Calgary,AB,Canada: ACTAPRESS, 2014. http://dx.doi.org/10.2316/p.2014.809-064.

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Chen, Xin, and Yunxin Zhao. "Data sampling based ensemble acoustic modelling." In ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2009. http://dx.doi.org/10.1109/icassp.2009.4960456.

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Buckley, Leonie, Sam Caulfield, and David Moloney. "MvEcho - acoustic response modelling for auralisation." In 2016 IEEE Hot Chips 28 Symposium (HCS). IEEE, 2016. http://dx.doi.org/10.1109/hotchips.2016.7936238.

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Reports on the topic "Acoustic modelling"

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Marinovic, Nenad M., and Leonid Roytman. Modelling, Detection, and Classification of Random Underwater Acoustic Transients. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada247797.

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Phillips, Michael, James Glass, and Victor Zue. Modelling Context Dependency in Acoustic-Phonetic and Lexical Representations. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada460564.

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Hirsekorn, M., P. P. Delsanto, N. K. Batra, and P. Matic. Modelling and Simulation of Acoustic Wave Propagation in Locally Resonant Sonic Materials. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada525809.

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Ratilal, Purnima. Characterizing Broadband Acoustic Propagation Scintillation and Modelling Scattering and Reverberation for Sensing in a Random Ocean Waveguide. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada615928.

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