Data-driven optimization of the periodic beam with multiple acoustic black holes. (17th February 2021)

• Record Type: Journal Article
• Authors: He, Meng-Xin; Ding, Qian
• Is Part Of: Journal of sound and vibration. Volume 493(2021)
• Publication Date: 2021-02-17
• Subjects: Data-driven optimization -- Spectral element method -- Noise reduction -- Multi-objective optimization -- Acoustic black holes; Sound -- Periodicals; Vibration -- Periodicals; Son -- Périodiques; Vibration -- Périodiques; Sound; Vibration; Periodicals; Electronic journals; 620.205
• DOI: 10.1016/j.jsv.2020.115816
• Languages: English
• ISSNs: 0022-460X

Abstract

Abstract: This paper presents data-driven optimization study of a periodic beam with multiple acoustic black holes (ABH) for better dynamic performance. The vibration and sound radiation of the structure are analyzed by the spectral element method (SEM). A data-driven multi-objective optimization method is proposed to investigate the design problems for minimizing the structural weight and maximizing the sound transmission loss. Several cases are presented to demonstrate the accuracy of the SEM compared with the finite element method, and the multi-objective optimal designs of the ABH beam. Numerical results indicate that the data-driven method can significantly improve the computational efficiency. Pareto solutions provide a variety of design options and reveal the mechanisms about band gaps of the periodic beam.