Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators
This work reports the results of experimental measurements of the sound absorption coefficient of ceramic materials using the principle of acoustic resonators. Subsequently, the values obtained from the measurements were used to train a simulation model of the acoustic behavior of the analyzed mater...
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Language: | English |
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MDPI AG
2020-12-01
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Series: | Fibers |
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Online Access: | https://www.mdpi.com/2079-6439/8/12/77 |
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author | Giuseppe Ciaburro Gino Iannace |
author_facet | Giuseppe Ciaburro Gino Iannace |
author_sort | Giuseppe Ciaburro |
collection | DOAJ |
description | This work reports the results of experimental measurements of the sound absorption coefficient of ceramic materials using the principle of acoustic resonators. Subsequently, the values obtained from the measurements were used to train a simulation model of the acoustic behavior of the analyzed material based on artificial neural networks. The possible applications of sound-absorbing materials made with ceramic can derive from aesthetic or architectural needs or from functional needs, as ceramic is a fireproof material resistant to high temperatures. The results returned by the simulation model based on the artificial neural networks algorithm are particularly significant. This result suggests the adoption of this technology to find the finest possible configuration that allows the best sound absorption performance of the material. |
first_indexed | 2024-03-10T13:57:34Z |
format | Article |
id | doaj.art-dc0fc7ebe8024550a64aec8c4faf87a7 |
institution | Directory Open Access Journal |
issn | 2079-6439 |
language | English |
last_indexed | 2024-03-10T13:57:34Z |
publishDate | 2020-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Fibers |
spelling | doaj.art-dc0fc7ebe8024550a64aec8c4faf87a72023-11-21T01:28:33ZengMDPI AGFibers2079-64392020-12-018127710.3390/fib8120077Numerical Simulation for the Sound Absorption Properties of Ceramic ResonatorsGiuseppe Ciaburro0Gino Iannace1Department of Architecture and Industrial Design, Università della Campania “Luigi Vanvitelli”, Borgo San Lorenzo, 81031 Aversa, ItalyDepartment of Architecture and Industrial Design, Università della Campania “Luigi Vanvitelli”, Borgo San Lorenzo, 81031 Aversa, ItalyThis work reports the results of experimental measurements of the sound absorption coefficient of ceramic materials using the principle of acoustic resonators. Subsequently, the values obtained from the measurements were used to train a simulation model of the acoustic behavior of the analyzed material based on artificial neural networks. The possible applications of sound-absorbing materials made with ceramic can derive from aesthetic or architectural needs or from functional needs, as ceramic is a fireproof material resistant to high temperatures. The results returned by the simulation model based on the artificial neural networks algorithm are particularly significant. This result suggests the adoption of this technology to find the finest possible configuration that allows the best sound absorption performance of the material.https://www.mdpi.com/2079-6439/8/12/77ceramic materialabsorption coefficient measurementsHelmholtz resonatorartificial neural network |
spellingShingle | Giuseppe Ciaburro Gino Iannace Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators Fibers ceramic material absorption coefficient measurements Helmholtz resonator artificial neural network |
title | Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators |
title_full | Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators |
title_fullStr | Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators |
title_full_unstemmed | Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators |
title_short | Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators |
title_sort | numerical simulation for the sound absorption properties of ceramic resonators |
topic | ceramic material absorption coefficient measurements Helmholtz resonator artificial neural network |
url | https://www.mdpi.com/2079-6439/8/12/77 |
work_keys_str_mv | AT giuseppeciaburro numericalsimulationforthesoundabsorptionpropertiesofceramicresonators AT ginoiannace numericalsimulationforthesoundabsorptionpropertiesofceramicresonators |