Vibration and Noise (2nd Edition)

A special issue of Acoustics (ISSN 2624-599X).

Deadline for manuscript submissions: 15 September 2024 | Viewed by 4127

Special Issue Editor


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Guest Editor
Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon 999077, Hong Kong
Interests: sound induced vibration; noise control; building acoustics; environmental noise measurement and control; sound sources identification
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Special Issue Information

Dear Colleagues,

Following the successful publication of our first edition, we are excited to announce the second edition of our Special Issue “Vibration and Noise”. Nowadays, increasingly stringent regulations are coming into force, limiting the vibration and noise levels exposed to human beings and the working environment. In this regard, research on the control of vibration and noise is of growing importance. Therefore, this Special Issue aims to present the most recent advances in this field, including, but not limited to, the following topics: interactions of vibration and noise; vibrations caused by noise; radiation of noise from vibrating structures; control of low-frequency vibration and noise; insulation, absorption, generation, and propagation of vibration and noise; theoretical, numerical, and experimental studies of vibration and noise; the control of vibration and noise in aircraft, automobiles, machinery, and vehicles; and materials for the control of vibration and noise. In addition, detection, measurement, and analysis methods are within the scope of this Special Issue. As this topic encompasses multidisciplinary areas, research on the coupling between structural vibration, noise, and fluids is also welcomed. 

Dr. Yat Sze Choy
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Acoustics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • noise control
  • noise generation
  • vibration control
  • vibration and Noise measurement and analysis
  • aircraft noise
  • automobile or vehicle noise
  • machinery noise
  • vibroacoustic coupling

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Published Papers (2 papers)

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Research

18 pages, 5608 KiB  
Article
Experimental Prediction Method of Free-Field Sound Emissions Using the Boundary Element Method and Laser Scanning Vibrometry
by Andreas Wurzinger, Florian Kraxberger, Paul Maurerlehner, Bernhard Mayr-Mittermüller, Peter Rucz, Harald Sima, Manfred Kaltenbacher and Stefan Schoder
Acoustics 2024, 6(1), 65-82; https://doi.org/10.3390/acoustics6010004 - 03 Jan 2024
Viewed by 1763
Abstract
Acoustic emissions play a major role in the usability of many product categories. Therefore, mitigating the emitted sound directly at the source is paramount to improve usability and customer satisfaction. To reliably predict acoustic emissions, numerical methods such as the boundary element method [...] Read more.
Acoustic emissions play a major role in the usability of many product categories. Therefore, mitigating the emitted sound directly at the source is paramount to improve usability and customer satisfaction. To reliably predict acoustic emissions, numerical methods such as the boundary element method (BEM) are employed, which allow for predicting, e.g., the acoustic emission into the free field. BEM algorithms need appropriate boundary conditions to couple the sound field with the structural motion of the vibrating body. In this contribution, firstly, an interpolation scheme is presented, which allows for appropriate interpolation of arbitrary velocity data to the computational grid of the BEM. Secondly, the free-field Helmholtz problem is solved with the open-source BEM software framework NiHu. The forward coupling between the device of interest and BEM is based on the surface normal velocities (i.e., a Neumann boundary condition). The BEM simulation results are validated using a previously established aeroacoustic benchmark problem. Furthermore, an application to a medical device (knee prosthesis frame) is presented. Furthermore, the radiated sound power is evaluated and contextualized with other low-cost approximations. Regarding the validation example, very good agreements are achieved between the measurements and BEM results, with a mean effective pressure level error of 0.63 dB averaged across three microphone positions. Applying the workflow to a knee prosthesis frame, the simulation is capable of predicting the acoustic radiation to four microphone positions with a mean effective pressure level error of 1.52 dB. Full article
(This article belongs to the Special Issue Vibration and Noise (2nd Edition))
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20 pages, 10994 KiB  
Article
Data-Driven Discovery of Anomaly-Sensitive Parameters from Uvula Wake Flows Using Wavelet Analyses and Poincaré Maps
by Xiuhua Si, Junshi Wang, Haibo Dong and Jinxiang Xi
Acoustics 2023, 5(4), 1046-1065; https://doi.org/10.3390/acoustics5040060 - 02 Nov 2023
Cited by 1 | Viewed by 1877
Abstract
This study presents a data-driven approach to identifying anomaly-sensitive parameters through a multiscale, multifaceted analysis of simulated respiratory flows. The anomalies under consideration include a pharyngeal model with three levels of constriction (M1, M2, M3) and a flapping uvula with two types of [...] Read more.
This study presents a data-driven approach to identifying anomaly-sensitive parameters through a multiscale, multifaceted analysis of simulated respiratory flows. The anomalies under consideration include a pharyngeal model with three levels of constriction (M1, M2, M3) and a flapping uvula with two types of kinematics (K1, K2). Direct numerical simulations (DNS) were implemented to solve the wake flows induced by a flapping uvula; instantaneous vortex images, as well as pressures and velocities at seven probes, were recorded for twelve cycles. Principal component analysis (PCA), wavelet-based multifractal spectrum and scalogram, and Poincaré mapping were implemented to identify anomaly-sensitive parameters. The PCA results demonstrated a reasonable periodicity of instantaneous vortex images in the leading vector space and revealed distinct patterns between models with varying uvula kinematics (K1, K2). At higher PCA ranks, the periodicity gradually decays, eventually transitioning to a random pattern. The multifractal spectra and scalograms of pressures in the pharynx (P6, P7) show high sensitivity to uvula kinematics, with the pitching mode (K2) having a wider spectrum and a left-skewed peak than the heaving mode (K1). Conversely, the Poincaré maps of velocities and pressures in the pharynx (Vel6, Vel7, P6, P7) exhibit high sensitivity to pharyngeal constriction levels (M1–M3), but not to uvula kinematics. The parameter sensitivity to anomaly also differs with the probe site; thus, synergizing measurements from multiple probes with properly extracted anomaly-sensitive parameters holds the potential to localize the source of snoring and estimate the collapsibility of the pharynx. Full article
(This article belongs to the Special Issue Vibration and Noise (2nd Edition))
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