Topology optimization of broadband acoustic transition section: a comparison between deterministic and stochastic approaches

被引:1
|
作者
Mousavi, Abbas [1 ]
Uihlein, Andrian [2 ]
Pflug, Lukas [2 ,3 ]
Wadbro, Eddie [1 ,4 ]
机构
[1] Umea Univ, Dept Comp Sci, S-90187 Umea, Sweden
[2] Friedrich Alexander Univ Erlangen Nurnberg FAU, Chair Appl Math Continuous Optimizat, Dept Math, Cauerstr 11, D-91058 Erlangen, Germany
[3] Friedrich Alexander Univ Erlangen Nurnberg FAU, FAU Competence Ctr Sci Comp, Martensstr 5a, D-91058 Erlangen, Germany
[4] Karlstad Univ, Dept Math & Comp Sci, S-65188 Karlstad, Sweden
关键词
Topology optimization; Stochastic methods; Acoustic transition section; Material distribution approach; FILTERS; DESIGN;
D O I
10.1007/s00158-024-03784-0
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper focuses on the topology optimization of a broadband acoustic transition section that connects two cylindrical waveguides with different radii. The primary objective is to design a transition section that maximizes the transmission of a planar acoustic wave while ensuring that the transmitted wave exhibits a planar shape. Helmholtz equation is used to model linear wave propagation in the device. We utilize the finite element method to solve the state equation on a structured mesh of square elements. Subsequently, a material distribution topology optimization problem is formulated to optimize the distribution of sound-hard material in the transition section. We employ two different gradient-based approaches to solve the optimization problem: namely, a deterministic approach using the method of moving asymptotes (MMA), and a stochastic approach utilizing both stochastic gradient (SG) and continuous stochastic gradient (CSG) methods. A comparative analysis is provided among these methodologies concerning the design feasibility and the transmission performance of the optimized designs, and the computational efficiency. The outcomes highlight the effectiveness of stochastic techniques in achieving enhanced broadband acoustic performance with reduced computational demands and improved design practicality. The insights from this investigation demonstrate the potential of stochastic approaches in acoustic applications, especially when broadband acoustic performance is desired.
引用
收藏
页数:13
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