Multi-Objective Prediction and Optimization of Vehicle Acoustic Package Based on ResNet Neural Network
Yunru Wu1, Xiangbo Liu1, Haibo Huang1,2,*, Yudong Wu1, Weiping Ding1,2, Mingliang Yang1,2,*
Sound & Vibration, Vol.57, pp. 73-95, 2023, DOI:10.32604/sv.2023.044601
- 10 November 2023
(This article belongs to the Special Issue: Passive and Active Noise Control for Vehicle)
Abstract Vehicle interior noise has emerged as a crucial assessment criterion for automotive NVH (Noise, Vibration, and Harshness). When analyzing the NVH performance of the vehicle body, the traditional SEA (Statistical Energy Analysis) simulation technology is usually limited by the accuracy of the material parameters obtained during the acoustic package modeling and the limitations of the application conditions. In order to effectively solve these shortcomings, based on the analysis of the vehicle noise transmission path, a multi-level objective decomposition architecture of the interior noise at the driver’s right ear is established. Combined with the data-driven method, More >