SVOpen Access

Sound & Vibration

Publication Frequency:Continuously

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About the Journal

Sound & Vibration is a journal intended for individuals with broad-based interests in noise and vibration, dynamic measurements, structural analysis, computer-aided engineering, machinery reliability, and dynamic testing. The journal strives to publish referred papers reflecting the interests of research and practical engineering on any aspects of sound and vibration. Of particular interest are papers that report analytical, numerical and experimental methods of more relevance to practical applications.

Indexing and Abstracting

Web of Science Coverage Emerging Sources Citation Index (2022 Impact Factor 0.6; Emerging Source Citation Index (Web of Science); Scopus Citescore (Impact per Publication 2022): 1.1; SNIP (Source Normalized Impact per Paper 2022): 0.443; Portico, etc...

Starting from July 2023, Sound & Vibration will transition to a continuous publication model, accepted articles will be promptly published online upon completion of the peer review and production processes.
Sound & Vibration will be migrating from old submission system( to new submission system( on 27 March 2023.
Manuscripts submitted to old submission system before 27 March 2023 will continue to undergo normal review process in old submission system. New submissions after 27 March 2023 must be made through new submission system.
Should you have met any questions or any suggestions, do not hesitate to contact us(

  • Open Access


    Brief Notes on Non-Lethal Acoustic Weapon

    Sound & Vibration, Vol.56, No.4, pp. 293-295, 2022, DOI:10.32604/sv.2022.026300
    Abstract This article has no abstract. More >

  • Open Access


    Application of the BASNEF Model in Safety Training in Automobile Manufacturing Plants

    Sound & Vibration, Vol.56, No.4, pp. 297-306, 2022, DOI:10.32604/sv.2022.028255
    Abstract After controls, including engineering and management, the final way to control noise is to use hearing protection devices. Due to the lack of a standardized questionnaire regarding investigating workers’ use of hearing protection devices on the basis of the BASNEF behavioral model, the present study was conducted to investigate the effect of health education based on the BASNEF model on the use of hearing protection devices in workers of an automobile manufacturing plant in Iran. This quasi-experimental and prospective intervention study was performed on 80 workers at an automobile manufacturing plant who are exposed to noise levels above 85 decibels… More >

  • Open Access


    Numerical Investigation on Vibration Performance of Flexible Plates Actuated by Pneumatic Artificial Muscle

    Sound & Vibration, Vol.56, No.4, pp. 307-317, 2022, DOI:10.32604/sv.2022.028797
    Abstract This paper theoretically introduced the feasibility of changing the vibration characteristics of flexible plates by using bio-inspired, extremely light, and powerful Pneumatic Artificial Muscle (PAM) actuators. Many structural plates or shells are typically flexible and show high vibration sensitivity. For this reason, this paper provides a way to achieve active vibration control for suppressing the oscillations of these structures to meet strict stability, safety, and comfort requirements. The dynamic behaviors of the designed plates are modeled by using the finite element (FE) method. As is known, the output force vs. contraction curve of PAM is nonlinear generally. In this present… More >

  • Open Access


    Dynamic Active Noise Control of Broadband Noise in Fighter Aircraft Pilot Helmet

    Sound & Vibration, Vol.56, No.4, pp. 319-331, 2022, DOI:10.32604/sv.2022.015634
    Abstract This paper presents the development of a dynamic Active Noise Control (ANC) algorithm aimed towards reducing the broadband noise inside the helmet earcups of a fighter aircraft pilot helmet. The dynamic ANC involves a Variable Step-Size Griffiths (VSSG) FxLMS algorithm to attenuate noise entering directly through helmet, a LMS based adaptive noise canceller to attenuate noise entering through the pilot microphone, and energy detectors for failure protection and optimized battery power usage. The algorithms are implemented on Texas Instruments’ TMS320C6748 processor and are tested in a helmet ANC experimental setup. More >

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