A BEM broadband topology optimization strategy based on Taylor expansion and SOAR method—Application to 2D acoustic scattering problems

Author:

Chen Leilei1234ORCID,Zhao Juan15,Lian Haojie13,Yu Bo6ORCID,Atroshchenko Elena7,Li Pei18ORCID

Affiliation:

1. Henan International Joint Laboratory of Structural Mechanics and Computational Simulation, College of Architectural and Civil Engineering Huanghuai University Henan China

2. College of Intelligent Construction Wuchang University of Technology Wuhan China

3. Key Laboratory of In‐Situ Property‐Improving Mining of Ministry of Education Taiyuan University of Technology Shanxi China

4. Laboratory of Aerodynamic Noise Control China Aerodynamics Research and Development Center Mianyang China

5. College of Architecture and Civil Engineering Xinyang Normal University Henan China

6. Institute of Applied Mechanics Hefei University of Technology Anhui China

7. School of Civil and Environmental Engineering University of New South Wales Sydney Australia

8. International Machinery Center Xi'an Jiaotong University Xi'an China

Abstract

AbstractIn this article, an innovative method is proposed for broadband topology optimization of sound‐absorbing materials adhering to the surface of a sound barrier structure. Helmholtz equation for the acoustic problems is solved using the boundary element method, while sensitivities of the objective function with respect to a large number of design variables are calculated via a sensitivity analysis method originated from the adjoint variable method (AVM), and the optimal solution is obtained by the method of moving asymptotes (MMA). Since the traditional single‐frequency topology optimization is frequency dependent, that is, the optimal solution at a certain frequency may not be optimal at other frequencies, broadband topology optimization of sound‐absorbing materials is conducted in this work. To address the problem of tremendous computational cost due to repetitive calculations at each discrete frequency point during broadband optimization, Taylor expansion of the Hankel function is performed to decouple the frequency dependent and independent terms in the BEM equations. For large‐scale problems, a reduced‐order model that retains the essential structures and key properties of the original model is built using the second‐order Arnoldi (SOAR) method. The accuracy and feasibility of the proposed algorithms are finally validated via some two‐dimensional numerical examples.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,General Engineering,Numerical Analysis

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