A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds Shredded
Giant reeds represent a natural fiber widely available in some areas of the world. Its use can be particularly useful as the uncontrolled growth of giant reeds can be a problem because large areas are invaded by them and the crops are damaged. In this study, two models of numerical simulation of the...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/19/6881 |
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| author | Giuseppe Ciaburro Gino Iannace Virginia Puyana-Romero Amelia Trematerra |
| author_facet | Giuseppe Ciaburro Gino Iannace Virginia Puyana-Romero Amelia Trematerra |
| author_sort | Giuseppe Ciaburro |
| collection | DOAJ |
| description | Giant reeds represent a natural fiber widely available in some areas of the world. Its use can be particularly useful as the uncontrolled growth of giant reeds can be a problem because large areas are invaded by them and the crops are damaged. In this study, two models of numerical simulation of the acoustic behavior of giant reeds were put in comparison: the Hamet model and a model based on artificial neural networks. First, the characteristics of the reeds were examined and the procedures for the preparation of the samples to be analyzed were described. Then air flow resistance, porosity and sound absorption coefficient were measured and analyzed in detail. Finally, the results of the numerical modeling of the acoustic coefficient were compared. The neural network-based model showed high Pearson correlation coefficient value, indicating a large number of correct predictions. |
| first_indexed | 2024-03-10T15:55:18Z |
| format | Article |
| id | doaj.art-c8932e6e31b146339604187836ed351e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T15:55:18Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c8932e6e31b146339604187836ed351e2023-11-20T15:44:30ZengMDPI AGApplied Sciences2076-34172020-10-011019688110.3390/app10196881A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds ShreddedGiuseppe Ciaburro0Gino Iannace1Virginia Puyana-Romero2Amelia Trematerra3Department 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, ItalyDepartment of Sound and Acoustic Engineering, Universidad de Las Américas, Quito EC170125, EcuadorDepartment of Architecture and Industrial Design, Università della Campania “Luigi Vanvitelli”, Borgo San Lorenzo, 81031 Aversa, ItalyGiant reeds represent a natural fiber widely available in some areas of the world. Its use can be particularly useful as the uncontrolled growth of giant reeds can be a problem because large areas are invaded by them and the crops are damaged. In this study, two models of numerical simulation of the acoustic behavior of giant reeds were put in comparison: the Hamet model and a model based on artificial neural networks. First, the characteristics of the reeds were examined and the procedures for the preparation of the samples to be analyzed were described. Then air flow resistance, porosity and sound absorption coefficient were measured and analyzed in detail. Finally, the results of the numerical modeling of the acoustic coefficient were compared. The neural network-based model showed high Pearson correlation coefficient value, indicating a large number of correct predictions.https://www.mdpi.com/2076-3417/10/19/6881natural materialssound absorption coefficientdeep neural networkacoustic measurements |
| spellingShingle | Giuseppe Ciaburro Gino Iannace Virginia Puyana-Romero Amelia Trematerra A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds Shredded Applied Sciences natural materials sound absorption coefficient deep neural network acoustic measurements |
| title | A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds Shredded |
| title_full | A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds Shredded |
| title_fullStr | A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds Shredded |
| title_full_unstemmed | A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds Shredded |
| title_short | A Comparison between Numerical Simulation Models for the Prediction of Acoustic Behavior of Giant Reeds Shredded |
| title_sort | comparison between numerical simulation models for the prediction of acoustic behavior of giant reeds shredded |
| topic | natural materials sound absorption coefficient deep neural network acoustic measurements |
| url | https://www.mdpi.com/2076-3417/10/19/6881 |
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