Noise characteristics analysis and control technique for profile-shaped buildings considering structure-acoustic sensitivity

Danyou Du

doi:10.1117/12.3031344

19 July 2024 Noise characteristics analysis and control technique for profile-shaped buildings considering structure-acoustic sensitivity

Danyou Du

Author Affiliations +

Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 131813J (2024) https://doi.org/10.1117/12.3031344
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China

Abstract

Because of the complex geometry and changeable materials, it is difficult to control the noise in the interior of special-shaped buildings. For this reason, a new method is proposed to analyze and control the indoor noise characteristics of special-shaped buildings considering the structure-acoustic sensitivity. This paper analyzes the indoor noise characteristics of special-shaped buildings, calculates the indoor structural noise of special-shaped buildings, analyzes the structure-acoustic sensitivity, and obtains the normal velocity amplitude sensitivity of structural response by using finite element method. Sound waves are soundproofed by using the different vibration characteristics of materials to control the indoor noise of special-shaped buildings. The experimental results show that the acoustic sensitivity of the proposed method is higher than 70dB, the longest control time is 29.88s, the peak value of indoor vibration basically disappears, and the abnormal noise completely disappears.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Danyou Du "Noise characteristics analysis and control technique for profile-shaped buildings considering structure-acoustic sensitivity", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 131813J (19 July 2024); https://doi.org/10.1117/12.3031344

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