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基于替代模型的多目标贝叶斯式优化可孔的声障碍物

Hassan Liravi¹, François-Xavier Bécot², Sakdirat Kaewunruen³

¹Department of Engineering, University of Durham, Durham, DH13LE UK.

Engineering with computers

|December 22, 2025

概括

本研究介绍了一个代用模型和贝叶斯优化,用于设计有效的声障碍. 它平衡了降噪,成本和形状,以实现最佳的声压水平减弱.

科学领域:

声学和噪音控制声学和噪音控制
计算工程计算工程计算工程
材料科学材料科学材料科学

背景情况:

优化工程中的多个相互冲突的标准,特别是声波传播,对于标准方法来说是具有挑战性的.
设计有效的噪声屏障需要平衡声学性能 (声压水平 - SPL) 与经济和几何限制.

研究的目的:

开发一个噪声预测替代模型,用于声障碍的多目标优化.
应用一个多目标贝叶斯优化算法来优化声障设计,以减少SPL.

主要方法:

用一个二维的奇点边界方法来生成替代模型的数据集.
多目标贝叶斯优化被应用到带有多孔噪声屏障 (直立墙和T形) 的声线源衍射.
表面阻抗边界条件模拟了材料消散,整合了微观结构和宏观结构参数.

主要成果:

拟议的框架有效地探讨了声学性能,材料成本和形状之间的权衡.
通过平衡SPL降低,屏障高度,帽子长度,多孔度,扭曲度和空气流电阻度来实现最佳屏障设计.
替代模型为复杂的声障设计提供了计算密集的优化.

结论:

开发的噪音预测替代模型和贝叶斯优化框架使声障碍的高效多目标优化成为可能.
这种方法有效地平衡了声学性能与实际工程解决方案的经济和形状限制.
该研究展示了一种可行的方法来设计优化的噪声屏障,考虑到各种物理和经济因素.

关键词:

声学屏障是一种声学屏障.贝叶斯算法贝叶斯算法贝叶斯算法多目标优化多目标优化有孔的材料是多孔的材料.替代模型的替代模型

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