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<p>The reduction of vehicle interior noise is an important consideration in vehicle design and has become an active research topic in recent years. In this paper, we propose a modularized level-set topology optimization (mLSTO) methodology to address noise minimization. One of the main aims of this work is to enable more design freedom compared to previous works in which only size parameters are optimized. In addition, compared to previous topology optimization (TO) works for noise reduction, we also include structural capability by imposing stress constraints in combination with the noise reduction objective. We illustrate the applicability of the methodology by solving a one-way coupled vibro-acoustic optimization problem in a simplified 3D vehicle cabin. The main objective is to minimize the noise perceived at specified locations in the cabin due to vibrations of a range of frequencies. Our proposed mLSTO method employs a boundary perturbation scheme that allows for the use of automatic differentiation (AD) to compute the design sensitivities. The value of our automated approach is its generality. It can be straightforwardly adapted to more complex physical modeling and to completely different types of problems. Here, we demonstrate the noise reduction capability of the method by designing the vehicle cabin floor. Designs for different frequencies are obtained under a volume and stress constraints. The optimized designs indicate significant reductions in the noise compared to the baseline design and with additional material reductions.</p>

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Automatic differentiation-based level-set topology optimization for noise minimization in 3D domains considering acoustic-structure interaction

  • 期刊论文

  • 发表日期：

    2025年3月1日

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  • Andreas Neofytou,
  • Thiago Rios,
  • Mariusz Bujny,
  • Stefan Menzel,
  • H. Alicia Kim

摘要

The reduction of vehicle interior noise is an important consideration in vehicle design and has become an active research topic in recent years. In this paper, we propose a modularized level-set topology optimization (mLSTO) methodology to address noise minimization. One of the main aims of this work is to enable more design freedom compared to previous works in which only size parameters are optimized. In addition, compared to previous topology optimization (TO) works for noise reduction, we also include structural capability by imposing stress constraints in combination with the noise reduction objective. We illustrate the applicability of the methodology by solving a one-way coupled vibro-acoustic optimization problem in a simplified 3D vehicle cabin. The main objective is to minimize the noise perceived at specified locations in the cabin due to vibrations of a range of frequencies. Our proposed mLSTO method employs a boundary perturbation scheme that allows for the use of automatic differentiation (AD) to compute the design sensitivities. The value of our automated approach is its generality. It can be straightforwardly adapted to more complex physical modeling and to completely different types of problems. Here, we demonstrate the noise reduction capability of the method by designing the vehicle cabin floor. Designs for different frequencies are obtained under a volume and stress constraints. The optimized designs indicate significant reductions in the noise compared to the baseline design and with additional material reductions.