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Journal articles on the topic 'Acoustic field prediction'

Author: Grafiati

Published: 28 June 2021

Last updated: 29 July 2025

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1

He, Xianwen, Zhizhong Li, and Junping Sun. "Acoustic Field Prediction Method and Simulation Research Based on Acoustic Field Geometric Average Theory." Journal of Physics: Conference Series 2441, no. 1 (2023): 012024. http://dx.doi.org/10.1088/1742-6596/2441/1/012024.

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Abstract In order to meet the capability requirements of submarine radiated noise acoustic field prediction in free field and improve the detection and anti-detection capabilities, this paper proposes an acoustic field prediction method based on the geometric average theory of acoustic field. According to the measured self-noise information, a global search method is used. By calculating the average energy of the spherical, the extended compensation for different point distances is achieved, so as to predict the radiation noise at different distances. Through simulation experiments, it is foun

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ORSELLI, Joseph, Robin XAVIER, Jonathan JACQMOT, Daniel FERNáNDEZ COMESAñA, and Jared SCHMAL. "Hybrid acoustic modeling: far-field predictions from scanning 3D sound intensity data." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 4 (2024): 7431–38. http://dx.doi.org/10.3397/in_2024_3959.

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This research introduces a novel methodology for predicting the far-field acoustic behavior of complex vibro-acoustic sources, utilizing 3D sound intensity data acquired through Scan&Paint 3D's continuous scanning technology. By combining this experimental dataset with the computational modeling capabilities of the commercial acoustic package Actran, we establish a hybrid method capable of accurately computing noise generated by intricate vibro-acoustic phenomena. The use of a 3D sound intensity probe, in combination with an infrared stereo camera, accelerates the acquisition of acoustic d

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Yang, Da, and Cheuk Ming Mak. "A combined sound field prediction method in small classrooms." Building Services Engineering Research and Technology 42, no. 4 (2021): 375–88. http://dx.doi.org/10.1177/0143624421994229.

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In this paper, a new combination method for sound field prediction is proposed. An optimization approach based on the genetic algorithm is employed for optimizing the transition frequency of the combined sound field prediction method in classrooms. The selected optimization approach can identify the optimal transition frequency so that the combined sound field prediction can obtain more efficient and accurate prediction results. The proposed combined sound field prediction method consists of a wave-based method and geometric acoustic methods that are separated by the transition frequency. In l

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Satyavarma, K. L., and C. Neelima Devi. "Prediction of Non-Cavitating Marine Propeller Noise." Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) 23, no. 1 (2015): 1–6. https://doi.org/10.36842/jomase.v23i1.438.

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Noise reduction and control is an important problem in the performance of underwater acoustic systems. As the propeller rotates, it is subjected to unsteady force, which leads to discrete tonal noise, and cavitation. Therefore, underwater propeller noise can be classified into cavitating and non-cavitating noise Furthermore, sound generated by a propeller is critical in underwater detection and it is often related to the survivability of the vessel. This paper presents a numerical study on noises of the underwater propeller for different performance conditions. The non-Cavitating noise generat

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Jierula, Alipujiang, Shuhong Wang, Tae-Min OH, and Pengyu Wang. "Study on Accuracy Metrics for Evaluating the Predictions of Damage Locations in Deep Piles Using Artificial Neural Networks with Acoustic Emission Data." Applied Sciences 11, no. 5 (2021): 2314. http://dx.doi.org/10.3390/app11052314.

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Accuracy metrics have been widely used for the evaluation of predictions in machine learning. However, the selection of an appropriate accuracy metric for the evaluation of a specific prediction has not yet been specified. In this study, seven of the most used accuracy metrics in machine learning were summarized, and both their advantages and disadvantages were studied. To achieve this, the acoustic emission data of damage locations were collected from a pile hit test. A backpropagation artificial neural network prediction model for damage locations was trained with acoustic emission data usin

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Semiletov, Vasily A., and Sergey A. Karabasov. "Similarity scaling of jet noise sources for low-order jet noise modelling based on the Goldstein generalised acoustic analogy." International Journal of Aeroacoustics 16, no. 6 (2017): 476–90. http://dx.doi.org/10.1177/1475472x17730457.

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As a first step towards a robust low-order modelling framework that is free from either calibration parameters based on the far-field noise data or any assumptions about the noise source structure, a new low-order noise prediction scheme is implemented. The scheme is based on the Goldstein generalised acoustic analogy and uses the Large Eddy Simulation database of fluctuating Reynolds stress fields from the CABARET MILES solution of Semiletov et al. corresponding to a static isothermal jet from the SILOET experiment for reconstruction of effective noise sources. The sources are scaled in accor

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Miller, SAE, and Alexander N. Carr. "Theoretical investigation of alteration and radiation of large-scale structures due to jet impingement." International Journal of Aeroacoustics 18, no. 2-3 (2018): 231–57. http://dx.doi.org/10.1177/1475472x18812810.

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Jet flows impinge on launch pad structures and aircraft carrier deck blast deflectors. Turbulent structures are deformed and acoustic radiation is reflected by the deflector. The coupling of reflected acoustic waves with the instability waves of the jet turbulence increases their amplitude and causes a feedback loop. Resultant far-field acoustic radiation is amplified. This amplification results in additional tones with significant spectral broadening occurring at frequencies corresponding to the constructive interference. We present a simple prediction methodology in the form of an acoustic a

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Zhang, Xiaoyun, Xiaoan Zhang, Jiangang Xu, Li Yang, and Gao Song. "Acoustic Radiation Prediction Model Rationality and Mechanism of Steel-Spring Floating-Slab Tracks on Bridges." Applied Sciences 13, no. 19 (2023): 11073. http://dx.doi.org/10.3390/app131911073.

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In the actual operation of urban rail transit (URT), the vibrations of steel-spring floating-slab tracks (SSFSTs) are amplified, and the track structure has strong low-frequency acoustic radiation; therefore, it is necessary to study the acoustic radiation of SSFSTs. In addition, multi-block short track structures are often laid within the URT lines; however, many researchers studying the reduction of vibration track service performance problems only select one or several block tracks to study. In reality, many short track structures will become sound sources when a train passes, and different

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Gee, Kent L., Micah Shepherd, Brian E. Anderson, Tracianne B. Neilsen, Matthew S. Allen, and Jonathan D. Blotter. "Graduate acoustics at Brigham Young University." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A253. http://dx.doi.org/10.1121/10.0027403.

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Graduate studies in acoustics at BYU prepare students for industry, research, and academia by complementing in-depth coursework with publishable research. Coursework provides students with a foundation in acoustical principles, practices and measurement skills, including a experimental techniques and technical writing. Labs across the curriculum cover calibration, directivity, scattering, absorption, laser Doppler vibrometry, experimental methods for dynamic structures, lumped-element mechanical systems, equivalent circuit modeling, arrays, filters, room acoustics, active noise control, and ne

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10

Gao, Sheng Yao, and De Shi Wang. "An Indirect Boundary Element Method for Computing Sound Field." Advanced Materials Research 476-478 (February 2012): 1173–77. http://dx.doi.org/10.4028/www.scientific.net/amr.476-478.1173.

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Computing sound field from an arbitrary radiator is of interest in acoustics, with many significant applications, one that includes the design of classical projectors and the noise prediction of underwater vehicle. To overcome the non-uniqueness of solution at eigenfrequencies in the boundary integral equation method for structural acoustic radiation, wave superposition method is introduced to study the acoustics. In this paper, the theoretical backgrounds to the direct boundary element method and the wave superposition method are presented. The wave superposition method does not solve the Kir

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Hou, Zhengyu, Jingqiang Wang, and Guanbao Li. "A Sound Velocity Prediction Model for Seafloor Sediments Based on Deep Neural Networks." Remote Sensing 15, no. 18 (2023): 4483. http://dx.doi.org/10.3390/rs15184483.

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The acoustic properties of seafloor sediments have always been important parameters in sound field analyses and exploration for marine resources, and the accurate acquisition of the acoustic properties of sediments is one of the difficulties in the study of underwater acoustics. In this study, sediment cores were taken from the northern South China Sea, and the acoustic properties were analyzed. Since traditional methods (such as regression equations or theoretical models) are difficult to apply in practical engineering applications, we applied remote sensing data to sound velocity prediction

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Lebon, Bruno, Iakovos Tzanakis, Koulis Pericleous, and Dmitry Eskin. "Numerical Modelling of the Ultrasonic Treatment of Aluminium Melts: An Overview of Recent Advances." Materials 12, no. 19 (2019): 3262. http://dx.doi.org/10.3390/ma12193262.

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The prediction of the acoustic pressure field and associated streaming is of paramount importance to ultrasonic melt processing. Hence, the last decade has witnessed the emergence of various numerical models for predicting acoustic pressures and velocity fields in liquid metals subject to ultrasonic excitation at large amplitudes. This paper summarizes recent research, arguably the state of the art, and suggests best practice guidelines in acoustic cavitation modelling as applied to aluminium melts. We also present the remaining challenges that are to be addressed to pave the way for a reliabl

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Sun, Zhao, Yongxian Wang, and Wei Liu. "End-to-end underwater acoustic transmission loss prediction with adaptive multi-scale dilated network." Journal of the Acoustical Society of America 157, no. 1 (2025): 382–95. https://doi.org/10.1121/10.0034857.

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Underwater acoustic propagation is a complex phenomenon in the ocean environment. Traditional methods for calculating acoustic propagation loss rely on solving complex partial differential equations. Deep learning methods, leveraging their robust nonlinear approximation capabilities, can model various physical phenomena effectively, significantly reducing computation time and cost. Despite considerable advancements in the study of various inverse underwater acoustic problems, research focused on forward physical modeling is still nascent. This study proposes an end-to-end architecture for pred

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Zhong, Siyang, and Xin Zhang. "A sound extrapolation method for aeroacoustics far-field prediction in presence of vortical waves." Journal of Fluid Mechanics 820 (May 8, 2017): 424–50. http://dx.doi.org/10.1017/jfm.2017.219.

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Off-surface integral solutions to an inhomogeneous wave equation based on acoustic analogy could suffer from spurious wave contamination when volume integrals are ignored for computation efficiency and vortical/turbulent gusts are convected across the integration surfaces, leading to erroneous far-field directivity predictions. Vortical gusts often exist in aerodynamic flows and it is inevitable their effects are present on the integration surface. In this work, we propose a new sound extrapolation method for acoustic far-field directivity prediction in the presence of vortical gusts, which ov

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Yan, Xin, and David Herrin. "Prediction of sound radiation using reconstructed acoustic free velocity sources." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 266, no. 2 (2023): 375–82. http://dx.doi.org/10.3397/nc_2023_0057.

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A complicated source can be represented by a series of acoustic free velocity sources. The sound pressure at a position in the field can be predicted by summing the products of the acoustic free velocity source strengths and their respective transfer functions. These transfer functions relate the sound pressure in the field to the acoustic source strength. In this research, the sound pressure is measured at positions in the free field and then is used to determine the acoustic free velocity source strengths via an inverse method. The approach is applied to characterize a laboratory source with

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16

Allen, Matthew S., Brian E. Anderson, Jonathan D. Blotter, et al. "Graduate acoustics at Brigham Young University." Journal of the Acoustical Society of America 152, no. 4 (2022): A122. http://dx.doi.org/10.1121/10.0015753.

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Graduate studies in acoustics at Brigham Young University prepare students for industry, research, and academia by complementing in-depth coursework with publishable research. Coursework provides a solid foundation in core acoustical principles and practices and measurement skills, including a strong foundation in experimental techniques and technical writing. Labs across the curriculum cover calibration, directivity, scattering, absorption, laser Doppler vibrometry, experimental methods for dynamic structures, lumped-element mechanical systems, equivalent circuit modeling, arrays, filters, ro

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17

Zeng, Yaoxiang, Haoxuan Wang, Yi Rong, and Wei He. "Improvement methodology of predicting engine jet noise in engineering application." Journal of Physics: Conference Series 2472, no. 1 (2023): 012058. http://dx.doi.org/10.1088/1742-6596/2472/1/012058.

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Abstract The typical methods for predicting rocket engine noise were comprehensively illustrated. Simultaneously including some modification, implement noise environmental prediction of any engine number, any position via programming. For instance, in a liquid rocket engine, noise field of the double engine was predicted, the results of which were compared with experimental data. We then evaluated the advantages and disadvantages of different methods and analyzed the source of the error. Finally, a methodology of predicting the jet noise was proposed, which can be applied to multiple engines.

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18

Tao, Jun, Gang Sun, Ying Hu, and Miao Zhang. "Noise Prediction for Multi-Element Airfoil Based on FW-H Equation." Applied Mechanics and Materials 52-54 (March 2011): 1388–93. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.1388.

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In this article, four observation points are selected in the flow field when predicting aerodynamic noise of a multi-element airfoil for both a coarser grid and a finer grid. Numerical simulation of N-S equations is employed to obtain near-field acoustic information, then far-field acoustic information is obtained through acoustic analogy theory combined with FW-H equation. Computation indicates: the codes calculate the flow field in good agreement with the experimental data; The finer the grid is, the more stable the calculated sound pressure level (SPL) is and the more regularly d(SPL)/d(St)

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19

Salin, M. B., and D. A. Kosteev. "Nearfield acoustic holography-based methods for far field prediction." Applied Acoustics 159 (February 2020): 107099. http://dx.doi.org/10.1016/j.apacoust.2019.107099.

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20

de Souza, Mauricy Cesar R., and Samir N. Y. Gerges. "Prediction of Sound Level in Rooms and Experimental Validation." Building Acoustics 4, no. 2 (1997): 117–35. http://dx.doi.org/10.1177/1351010x9700400204.

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Traditional Sabine equations still are used for factories or offices where diffuse sound fields rarely occur and prediction can be inaccurate. More recently, methods based on geometric acoustics have been developed which require large computing time and which demand better defined input data. A problem, often encountered, is how to include input data which is appropriate, accurate and relatively easy to obtain. Three acoustic models of a furnished room were created: a diffuse field, an image source and a ray tracing model. The initial values of absorption coefficient and sound power level were

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Stevens, Bill, and Martin Siderius. "Probabilistic acoustic predictions leveraging NESBA and ARGO measurements." Journal of the Acoustical Society of America 155, no. 3_Supplement (2024): A279. http://dx.doi.org/10.1121/10.0027499.

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Ocean acoustic propagation models used for sonar performance prediction often rely on global or regional ocean modeling and data assimilation, or monthly climatologic averages, for estimating the 4D ocean temperature and salinity (T/S) field. Ocean models rely heavily on satellite-based ocean surface measurements, e.g., sea surface temperature (SST) and height (SSH), plus typically vastly less resolved in space and time vertical water column measurements derived using ship-based and/or ARGO float instruments. Systems also exist that create 3D synthetic T/S fields from satellite SST/SSH measure

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22

PASCAL, Caroline, Pierre MARCHAND, Alexandre CHAPOUTOT, and Olivier DOARé. "Far-field sound field estimation using robotized measurements and the boundary elements method." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 11 (2024): 816–27. http://dx.doi.org/10.3397/in_2024_2661.

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Sound Field Estimation (SFE) is a numerical technique widely used to identify and reconstruct the acoustic fields radiated by unknown structures. In particular, SFE proves to be useful when data is only available close to the source, but information in the whole space is required. However, the practical implementation of this method is still hindered by two major drawbacks: the lack of efficient implementation of existing numerical methodologies, and the time-consuming and tedious roll-out of acoustic measurements. This paper aims to provide a solution to both issues. First, the measurements s

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Mateus, Diogo, and Andreia Pereira. "Proposal of a simplified methodology for reverberation time prediction in standard medium size rooms with non-uniformly distributed sound absorption." Acta Acustica 7 (2023): 31. http://dx.doi.org/10.1051/aacus/2023025.

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Sabine, Eyring and Millington formulas are commonly used for reverberation time prediction, mainly, as a calculation tool in building acoustics design. These classical theories are valid only for rooms with diffuse sound fields, in which the energy density is constant throughout the enclosure, an acoustic condition that is achieved only when using surfaces with low sound absorption. Despite these limitations, Sabine’s formula is still the most widely used in the prediction of the reverberation time, when spaces such as classrooms or offices are addressed. However, for these rooms, after the co

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Gu, Ruichong, Zilong Peng, Yaqiang Xue, Cong Xu, and Changxiong Chen. "An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles." Sensors 25, no. 8 (2025): 2612. https://doi.org/10.3390/s25082612.

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This paper presents an improved rapid prediction method for solving the full-space bistatic scattering sound field of underwater vehicles. The scattering sound field is represented as the product of the acoustic scattering transfer function and the sound source density function. By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. To reduce the data input required for predicting the scattering field, the monost

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Zheng, Zhengyu. "Prediction of dipole sources and aeroacoustics field for tandem cylinder flow field based on DBEM/hybrid LES." International Journal of Aeroacoustics 20, no. 1-2 (2021): 157–73. http://dx.doi.org/10.1177/1475472x20984092.

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In this paper, the DBEM/Hybrid LES（Directly Boundary Element Method/Hybrid Large Eddy Simulation）technique is applied to predict the aerodynamic noise generated by tandem circular cylinders immersed in a three-dimensional turbulent flow. Utilizing the Lighthill's Acoustic Analogy, the flow pressure fluctuation near the surface of the cylinder is converted into acoustic dipole sources. Taking the dipole sound sources as the actual sound sources, the aeroacoustic field is simulated and analyzed by DBEM. The research shows that: The strong dipole sources are distributed in the collision zone of t

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Stewart, James D., Ross Koppenaal, Antoine Lalumière, and Roger J. Whitehead. "Predicting wood stiffness of lodgepole pine trees using acoustic tools and green density." Forestry Chronicle 97, no. 01 (2021): 52–64. http://dx.doi.org/10.5558/tfc2021-007.

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Upstream identification of wood properties using non-destructive testing methods such as acoustic velocity (AV) measurements is important for optimizing allocation of wood to mills or products. We evaluated the effectiveness of field AV measurement tools in predicting lodgepole pine wood stiffness (modulus of elasticity, MOE) as measured by Silviscan on wood samples. AV was measured on trees and logs from six sites in Alberta and British Columbia. We evaluated the effect on MOE estimation of calculating averages of the adjustment factor k and of green density (GD) at different spatial scales f

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DHARANALAKOTA, Veerababu, and Prasanta Kumar GHOSH. "Prediction of one-dimensional acoustic field with axial temperature gradient using neural networks." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 6 (2024): 5930–37. http://dx.doi.org/10.3397/in_2024_3663.

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The study of sound propagation inside the ducts finds extensive application in aerospace, automobiles, speech, and biomedical sectors. This paper presents a neural network-based formulation to estimate the acoustic field inside a uniform duct with temperature gradient along the axial direction. The governing differential equation is derived from the momentum, energy, and state equations. The acoustic field is approximated with a feedforward neural network, and the problem is converted to an unconstrained optimization problem using the trial solution method. The training process is performed us

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HE, Jiahua, Zhicheng ZHANG, Qiuhong LIU, and Peng ZHOU. "Prediction of the acoustic particle velocity in aerodynamic flows and its applications to the boundary element method." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 6 (2024): 5573–82. http://dx.doi.org/10.3397/in_2024_3617.

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The acoustic variables are essential for understanding sound energy transmission and redistribution. The previous methods focused on acoustic pressure without the acoustic particle velocity, which is not enough for acoustic field evaluation. In this paper, an analytical formula for acoustic particle velocity prediction is developed based on the permeable surface integral solution of a vector wave equation. The validation examples are presented with stationary dipole and rotational monopole. The acoustic quantities, pressure, and velocity are solved at the same time and will be applied as input

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Liu, Jinpeng, Zheng Zhu, Yongqiang Ji, Ziyang Chen, Chao Zhang, and Dejiang Shang. "Prediction of Sound Scattering from Deep-Sea Targets Based on Equivalence of Directional Point Sources." Applied Sciences 11, no. 11 (2021): 5160. http://dx.doi.org/10.3390/app11115160.

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A fast prediction method is proposed for calculating the sound scattering of targets in the deep-sea acoustic channel by equating the sound scattering field of a complex elastic target to the acoustic field excited by a directional point source. In deep-sea conditions, the effects of the sea surface on the impedance characteristics of the elastic target surface can be ignored. Through the finite element simulation of the acoustic scattering of the target in the free field, the sound scattering field is equated to the radiation field of a directional point source. Subsequently, the point source

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Hopkins, Guy, and Chris Field. "Room acoustic computer modeling—A case study to compare industry standard software with measured results." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A272. http://dx.doi.org/10.1121/10.0023502.

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This paper extends a previous publication presented at the Inter-Noise 2005 conference [1] and investigates the predictive performance of some industry standard room acoustic software packages compared with measurements. The case study specifically examines the Twyford Theatre, comparing predictions of room acoustic parameters obtained from ODEON, EASE, and Treble software with measurements. To conduct the study, impulse response measurements were performed in the theater using the swept sine method. Architectural drawings and on-site inspection measurements were utilized to construct ODEON, E

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Parry-Jones, Joel. "Lightweight modular construction of school classrooms, reverberation time prediction versus field testing." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A214. http://dx.doi.org/10.1121/10.0023320.

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Lightweight modular schools are in the early phases of being designed and constructed throughout NSW as part of Schools Infrastructure “Modern Methods of Construction (MMC).” This method proposes the use of CLT (Cross Laminated Timber) panels, timber floor and wall cassettes, and/or hybrid systems. Schools Infrastructure NSW has developed, along with PKA Acoustic Consulting’s acoustic input, the “Kit of Parts” catalogue which utilises predetermined set of components that can easily be assembled and constructed. The classroom layout is therefore defined and can be incorporated into the acoustic

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Yang, Guang-Bing, Poru Huang, Xiaochan Zhang, et al. "Enhancing marine acoustic field prediction in shallow seas using an ocean-sediment coupled model." Journal of the Acoustical Society of America 157, no. 2 (2025): 1027–44. https://doi.org/10.1121/10.0035831.

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Marine acoustic field prediction (MAFP) is essential for a variety of application scenarios. Given the rapid temporal changes in the ocean environment, MAFP requires time-dependent acoustic parameters. Ocean models are generally employed to provide dynamic acoustic parameters for the water column; however, few models extend this capability to sediments. Nonetheless, both observations and simulations have revealed that sediment temperature variations in shallow seas significantly affect the sediment acoustic properties. This paper proposes conducting MAFP using an ocean-sediment coupled model,

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Fleig, Oliver, Makoto Iida, and Chuichi Arakawa. "Wind Turbine Blade Tip Flow and Noise Prediction by Large-eddy Simulation." Journal of Solar Energy Engineering 126, no. 4 (2004): 1017–24. http://dx.doi.org/10.1115/1.1800551.

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The purpose of this research is to investigate the physical mechanisms associated with broadband tip vortex noise caused by rotating wind turbines. The flow and acoustic field around a wind turbine blade is simulated using compressible large-eddy simulation and direct noise simulation, with emphasis on the blade tip region. The far field aerodynamic noise is modeled using acoustic analogy. Aerodynamic performance and acoustic emissions are predicted for the actual tip shape and an ogee type tip shape. For the ogee type tip shape the sound pressure level decreases by 5 dB for frequencies above

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Estrada, Héctor, Johannes Rebling, and Daniel Razansky. "Prediction and near-field observation of skull-guided acoustic waves." Physics in Medicine and Biology 62, no. 12 (2017): 4728–40. http://dx.doi.org/10.1088/1361-6560/aa63e3.

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Laborde, J. L., C. Bouyer, J. P. Caltagirone, and A. Gérard. "Acoustic cavitation field prediction at low and high frequency ultrasounds." Ultrasonics 36, no. 1-5 (1998): 581–87. http://dx.doi.org/10.1016/s0041-624x(97)00106-6.

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Mou, Chao, Qiliang Yang, Jianchun Xing, Tao Chen, and Rongwei Zou. "An Improved Acoustic Diffusion Equation Model for Long-Channel Underground Spaces." Sensors 23, no. 18 (2023): 7738. http://dx.doi.org/10.3390/s23187738.

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The acoustic diffusion equation model has been widely applied in various scenarios, but a larger prediction error exists when applied to underground spaces, showing a significantly lower characteristic of the sound pressure level in the later stage compared to field tests since underground spaces have a more closed acoustic environment. Therefore, we analyze the characteristics of underground spaces differentiating from aboveground spaces when applying the model and propose an improved model from the perspective of energy balance. The energy neglected in the calculation of the acoustic diffusi

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Zhang, Peizhen, Xiaofeng Yin, Bin Wang, and Ziyi Feng. "Acoustic Scattering Characteristics and Geometric Parameter Prediction for Underwater Multiple Targets Arranged in a Linear Pattern." Journal of Marine Science and Engineering 12, no. 2 (2024): 267. http://dx.doi.org/10.3390/jmse12020267.

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The construction of wind farm pilings, submarine pipelines, and underwater submarines involves multiple cylinders. However, there is currently a lack of economic research on predicting the mechanism and characteristics of mutual coupling of acoustic scattering from multiple cylindrical targets. This study investigates the mechanism and prediction method of acoustic scattering for the structural distribution characteristics of underwater multi-cylindrical targets. A model of a multi-cylindrical target’s two-dimensional acoustic field was established using the finite element method. Numerical ca

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Han, Gang, Keith Shepstone, Iwan Harmawan, et al. "A Comprehensive Study of Sanding Rate From a Gas Field: From Reservoir to Completion, Production, and Surface Facilities." SPE Journal 16, no. 02 (2011): 463–81. http://dx.doi.org/10.2118/123478-pa.

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Summary An offshore gas field has been producing sand for a few years. Sand production has been closely monitored through acoustic flowline devices and a sand-collection system installed on the platforms. Observation of sand production has triggered evaluation of whether to install surface desanders or to complete future wells with downhole sand control. This evaluation requires a prediction of sanding rate over the reservoir life. The possibility of providing downhole sand control on existing wells was also evaluated in separate studies. Predicting sanding rate, particularly for gas fields, h

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Mallik, Wrik, Rajeev K. Jaiman, and Jasmin Jelovica. "Predicting transmission loss in underwater acoustics using convolutional recurrent autoencoder network." Journal of the Acoustical Society of America 152, no. 3 (2022): 1627–38. http://dx.doi.org/10.1121/10.0013894.

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Underwater noise transmission in the ocean environment is a complex physical phenomenon involving not only widely varying physical parameters and dynamical scales but also uncertainties in the ocean parameters. It is challenging to construct generalized physical models that can predict transmission loss in a broad range of situations. In this regard, we propose a convolutional recurrent autoencoder network (CRAN) architecture, which is a data-driven deep learning model for learning far-field acoustic propagation. Being data-driven, the CRAN model relies only on the quality of the data and is a

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Gerstoft, Peter, Manual Hahmann, William F. Jenkins, Zoi-Heleni Michalopoulou, Efren Fernandez-Grande, and Christoph Mecklenbrauker. "Direction of arrival estimation using Gaussian process interpolation." Journal of the Acoustical Society of America 152, no. 4 (2022): A142. http://dx.doi.org/10.1121/10.0015829.

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Gaussian processes (GP) have been used to predict acoustic fields by interpolating under-sampled field observations. Using GP interpolation to predict fields is advantageous due to its ability to denoise measurements, and for its prediction of likely field outcomes given a certain field coherence, or in GP terminology, a kernel. While there are many design options for a coherence function, in this study we examine using the radial basis function kernel, the physically based plane wave kernel, and a composition of plane wave kernels representing a certain angular interval of directions. The com

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Chen, Ning, Dejie Yu, Baizhan Xia, and Michael Beer. "Hybrid Uncertain Analysis for Exterior Acoustic Field Prediction with Interval Random Parameters." International Journal of Computational Methods 15, no. 02 (2017): 1850006. http://dx.doi.org/10.1142/s0219876218500068.

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For exterior acoustic field problems that lack sufficient information to construct precise probability distributions, an interval random model is introduced to deal with the uncertain parameters. In the interval random model, the probability variables are employed to treat the uncertain parameters, whereas some distribution parameters of random variables are modeled as interval variables instead of precise values. Based on the interval random model, the interval random finite element equation for exterior acoustic fields is established and a hybrid uncertain analysis method is presented to sol

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Qiaorui, Si, Jinfeng Liu, Asad Ali, et al. "Study on flow-induced noise propagation mechanism of cylinder–airfoil interference model by using large eddy simulation combined with vortex–acoustic equation." AIP Advances 13, no. 3 (2023): 035305. http://dx.doi.org/10.1063/5.0138084.

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An innovative numerical prediction method of flow-induced noise is implemented to overcome the defect that the traditional acoustic analogy method cannot reflect the interaction between turbulence vortex and sound. The classical cylindrical–airfoil interference model is used to perform the simulation and compared with the experimental results. To start with the derivation of Powell’s vortex sound equation, an implicit three-dimensional model of the fluid–acoustic coupling field is established to process the unsteady iterative calculation. The large eddy simulation method is adopted to solve th

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Dong, Qichao, Xintian Liu, Hongzhong Qi, and Yafu Zhou. "Vibro-acoustic prediction and evaluation of permanent magnet synchronous motors." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 12 (2020): 2783–93. http://dx.doi.org/10.1177/0954407020919659.

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In this study, a multiphysics finite element method is proposed to predict and evaluate the electromagnetic vibration and noise of the permanent magnet synchronous motors. First, the expressions of radial electromagnetic force waves were derived based on the established mathematical models of airgap magnetic field using the analytical methods. Subsequently, the main circumferential spatial orders influencing electromagnetic noise were analyzed and discussed. Then, a multiphysics simulation model that consists of mechanical field, electromagnetic field, and acoustic field was established for th

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Khairul Anuar, F. N., R. Sulaiman, N. Che Din, and A. S. Abdul Razak. "A Conceptual Framework for Immersive Acoustic Auralisation: Investigating the Key Attributes." Journal of Physics: Conference Series 2721, no. 1 (2024): 012015. http://dx.doi.org/10.1088/1742-6596/2721/1/012015.

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Abstract In architectural acoustics, the assessment of sound propagation in interior and/or environmental conditions has now become progressively more prominent throughout the past few decades, as a response to the development of advanced prediction tools. Within the adaptation of virtual reality (VR) systems, it is necessary to considerably expedite the prediction and simulation software as well as to enable flexible and responsive data analysis during simulation and 3D audio sensory projection. To generate ideal immersion in a simulated virtual environment, the generated stimulus across all

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Férand, Mélissa, Thomas Livebardon, Stéphane Moreau, and Marlène Sanjosé. "Numerical Prediction of Far-Field Combustion Noise from Aeronautical Engines." Acoustics 1, no. 1 (2019): 174–98. http://dx.doi.org/10.3390/acoustics1010012.

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A hybrid methodology combining a detailed Large Eddy Simulation of a combustion chamber sector, an analytical propagation model of the extracted acoustic and entropy waves at the combustor exit through the turbine stages, and a far-field acoustic propagation through a variable exhaust temperature field was shown to predict far-field combustion noise from helicopter and aircraft propulsion systems accurately for the first time. For the single-stream turboshaft engine, the validation was achieved from engine core to the turbine exit. Propagation to the far field was then performed through a mode

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Derme, Umberto, Silvana Sukaj, and Amelia Trematerra. "Acoustic Shell Optimization in Opera Houses for Concert Halls." Applied Sciences 15, no. 11 (2025): 5943. https://doi.org/10.3390/app15115943.

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Opera houses are often used as concert halls with the use of a temporary acoustic shell set on stage. In most cases, the shell shape and its position in the fly tower are decided by theatre technicians, after evaluating the concert programme and considering the conductor and the musicians’ requests, without being supported by an acoustic analysis. This paper describes the acoustic shell influence on the acoustic field of a baroque theatre when changing its dimensions and the orchestra staff, with and without the choir, when the theatre is used as a concert hall. The “Opera di Roma” case study

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Wang, Shiquan. "Far-Field Performances Prediction of High Frequency Projectors Using Secondary Source Array Method." Journal of Computational Acoustics 25, no. 02 (2016): 1750002. http://dx.doi.org/10.1142/s0218396x17500023.

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This paper investigates the prediction of the far-field performances of high frequency projectors using the second source array method (SSAM). The far-field parameters can be calculated accurately using the complex acoustic pressure data of two very close parallel planes which lie in the near-field region of the projector. The paper simulates the feasibility of predicting the far-field parameters such as transmitting voltage response and the far-field directivity pattern. The predicting results are compared with that calculated using boundary element method (BEM). It shows very good agreement

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Wu, Kunyu, Keqi Ni, Liwei Chen, et al. "ATTRN: Acoustic Information Encoder and Temperature Field Reconstruction Decoder Network for Boiler Temperature Field Reconstruction." Sensors 25, no. 8 (2025): 2567. https://doi.org/10.3390/s25082567.

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Accurate and swift evaluation of the temperature distribution in boiler furnaces is essential for maximizing energy efficiency and ensuring operational safety. Traditional temperature field reconstruction algorithms, while effective, often suffer from accumulated errors, difficulty in solving ill-posed problems, low accuracy, and poor generalization. To overcome these limitations, a Temperature Field Reconstruction Network based on an acoustic information encoder (AIE) and a temperature field reconstruction decoder (TFRD) is proposed (ATTRN). This method directly utilizes acoustic measurement

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Hu, Binfei, Zengjun Lu, Qiming Cui, Rongjiang Tang, Zhe Feng, and Daokun Bi. "Prediction and Aerodynamic Analysis of Interior Noise and Wind Drag Generated by the Outside Rear-View Mirror for Commercial Vehicles." Shock and Vibration 2020 (September 14, 2020): 1–16. http://dx.doi.org/10.1155/2020/8893959.

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The outside rear-view mirror (OSRVM) is installed on the vehicle’s surface, which causes unwanted aerodynamic noise and wind drag during driving. It is important to use simulation methods to predict the performance of aerodynamic noise and wind drag of commercial vehicles due to the OSRVM. Considering the wind drag of the OSRVM, a combinational simulation strategy is employed to calculate external flow and interior acoustic fields of commercial vehicles, respectively. The flow field is computed a priori with an incompressible flow solver. The acoustic field was then computed based on the infor

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LIU, Xiang, and Xueyi ZHAO. "Analytical modelling techniques for efficient broadband noise prediction of high-speed trains." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 10 (2024): 1381–90. http://dx.doi.org/10.3397/in_2024_2965.

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Analytical modelling techniques are presented for broadband noise prediction of high-speed trains. For interior noise problems, train body structures are modelled exactly by the dynamic stiffness method (DSM); whereas the interior acoustic cavities of the train body are modelled by the SDSM where the boundary conditions are described by modified Fourier series with a rapid convergence rate. Finally, the vibro-acoustic coupling model of the train body structures is constructed. For exterior noise problems, exterior train noise models are first formed by experimental data considering the Doppler

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