<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This study focuses on applying artificial intelligence techniques to virtually simulate the vibration characteristics of the resonance box of a college symphony orchestra to improve the understanding and optimization of the acoustic performance of the instrument. The study uses the finite element method and digital waveguide technology to simulate and analyze the vibration characteristics of the stringed resonating musical instrument, which is realized by the vibration equation of an ideal string and the principle of digital waveguide algorithm. The experimental results show that the applied simulation technique can effectively simulate the vibration characteristics of the resonance box of the musical instrument, such as the ideal string vibration and the cavity coupling effect. In addition, the study involves the mathematical expressions of forced vibration and resonance and the effects of various materials on the modal frequencies of the resonance box. The application of artificial intelligence technology in studying acoustic characteristics of musical instruments significantly improves the accuracy and efficiency of simulation. It provides essential theoretical support for the design and production of musical instruments.</p>
</abstract>

This study focuses on applying artificial intelligence techniques to virtually simulate the vibration characteristics of the resonance box of a college symphony orchestra to improve the understanding and optimization of the acoustic performance of the instrument. The study uses the finite element method and digital waveguide technology to simulate and analyze the vibration characteristics of the stringed resonating musical instrument, which is realized by the vibration equation of an ideal string and the principle of digital waveguide algorithm. The experimental results show that the applied simulation technique can effectively simulate the vibration characteristics of the resonance box of the musical instrument, such as the ideal string vibration and the cavity coupling effect. In addition, the study involves the mathematical expressions of forced vibration and resonance and the effects of various materials on the modal frequencies of the resonance box. The application of artificial intelligence technology in studying acoustic characteristics of musical instruments significantly improves the accuracy and efficiency of simulation. It provides essential theoretical support for the design and production of musical instruments.

Virtual Simulation Research on Resonance Box Vibration Characteristics of College Symphony Orchestra Driven by Artificial Intelligence Technology

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This study focuses on applying artificial intelligence techniques to virtually simulate the vibration characteristics of the resonance box of a college...

Virtual Simulation Research on Resonance Box Vibration Characteristics of College Symphony Orchestra Driven by Artificial Intelligence Technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 17. Jan. 2024

Akzeptiert: 23. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0683

Schlüsselwörter
Artificial intelligence technology, Resonance box of college symphony orchestra, Finite element simulation analysis, Vibration characteristics of stringed instruments

© 2024 Xinye Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Virtual Simulation Research on Resonance Box Vibration Characteristics of College Symphony Orchestra Driven by Artificial Intelligence Technology

Online veröffentlicht: 26. Feb. 2024

Seitenbereich: -

Eingereicht: 17. Jan. 2024

Akzeptiert: 23. Jan. 2024

DOI: https://doi.org/10.2478/amns-2024-0683

SchlüsselwörterArtificial intelligence technology, Resonance box of college symphony orchestra, Finite element simulation analysis, Vibration characteristics of stringed instruments

© 2024 Xinye Wang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Artificial intelligence technology, Resonance box of college symphony orchestra, Finite element simulation analysis, Vibration characteristics of stringed instruments