Structural-borne acoustics analysis and multi-objective optimization by using panel acoustic participation and response surface methodology

被引:20
|
作者
Wang, Yongliang [1 ,2 ]
Qin, Xunpeng [1 ,2 ]
Huang, Song [2 ]
Lu, Li [3 ]
Zhang, Qingkai [2 ]
Feng, Jiawei [1 ,2 ]
机构
[1] Hubei Key Lab Adv Technol Automot Parts, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Sch Automot Engn, Wuhan 430070, Peoples R China
[3] Dongfeng Peugeot Citroen Automobile Co LTD, Wuhan 430070, Peoples R China
关键词
Panel acoustic participation; Design of experiment; Response surface methodology; Structural-borne acoustics; Multi-objective optimization; SENSITIVITY-ANALYSIS; DAMPING STRUCTURE; FINITE-ELEMENT; CRASHWORTHINESS; MINIMIZATION; DESIGN; PLATES;
D O I
10.1016/j.apacoust.2016.09.013
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper is aimed to investigate the structural-borne acoustics analysis and multi-objective optimization of an enclosed box structure by using the panel acoustic participation (PAP) and response surface methodology (RSM). The acoustic frequency response function is applied to achieve the critical frequency of interest under each excitation. The PAP analysis is then carried out at all critical frequencies and the remarkable acoustic panels are identified. The correlation coefficient matrix method is proposed for reselecting and grouping the positions of acoustic panels identified to paste damping layer to control noise. With the help of faced central composite design, an efficient set of sample points are generated and then the second-order polynomial functions of sound pressure response at each critical frequency are computed and verified by the adjusted coefficient of multiple determination. The functional relationships between sound pressure responses and the thicknesses of damping layers are investigated, and multi objective optimization of the thicknesses of damping layers is developed. The results indicate that, by using the PAP and RSM, the structural-borne acoustics at critical frequencies are calculated conveniently and controlled effectively. The optimization process of the explicit optimization model proposed in this paper is simple and the computational time is saved. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:139 / 151
页数:13
相关论文
共 50 条
  • [31] A multi-objective structural optimization of an omnidirectional electromagnetic acoustic transducer
    Wang, Shen
    Huang, Songling
    Velichko, Alexander
    Wilcox, Paul
    Zhao, Wei
    ULTRASONICS, 2017, 81 : 23 - 31
  • [32] Multi-objective Optimization of a Data Center Modeling Using Response Surface
    Phan, Long
    Lin, Cheng-Xian
    PROCEEDINGS OF THE ASME INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, 2016, VOL. 8, 2017,
  • [33] Structural Damage Identification Using Response Surface-Based Multi-objective Optimization: A Comparative Study
    Tanmoy Mukhopadhyay
    Tushar Kanti Dey
    Rajib Chowdhury
    Anupam Chakrabarti
    Arabian Journal for Science and Engineering, 2015, 40 : 1027 - 1044
  • [34] Structural Damage Identification Using Response Surface-Based Multi-objective Optimization: A Comparative Study
    Mukhopadhyay, Tanmoy
    Dey, Tushar Kanti
    Chowdhury, Rajib
    Chakrabarti, Anupam
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2015, 40 (04) : 1027 - 1044
  • [35] Multi-objective Optimization of Spray Drying of Jujube (Zizyphus jujuba Miller) Powder Using Response Surface Methodology
    Qinqin Chen
    Jinfeng Bi
    Yuhan Zhou
    Xuan Liu
    Xinye Wu
    Ruijuan Chen
    Food and Bioprocess Technology, 2014, 7 : 1807 - 1818
  • [36] Design and multi-objective optimization of a new annular constructal bifurcation Stirling regenerator using response surface methodology
    Yu, Minjie
    Shi, Chunyu
    Liu, Zhichun
    Liu, Wei
    International Journal of Heat and Mass Transfer, 2022, 195
  • [37] Design and multi-objective optimization of a new annular constructal bifurcation Stirling regenerator using response surface methodology
    Yu, Minjie
    Shi, Chunyu
    Liu, Zhichun
    Liu, Wei
    INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2022, 195
  • [38] Multi-objective Optimization with FEC Polar Code for Bandwidth Efficient Mobile Network Using Response Surface Methodology
    Jadhav, Makarand
    Dongre, Ganesh
    Mahalle, Parikshit
    WIRELESS PERSONAL COMMUNICATIONS, 2022, 125 (03) : 2833 - 2863
  • [39] Multi-objective optimization of machining parameters on aluminum alloy metal matrix composites using response surface methodology
    Lakshmikanthan, P.
    Senthilvel, K.
    Prabu, B.
    SCIENTIA IRANICA, 2023, 30 (06) : 1987 - 2000
  • [40] Multi-objective optimization design of the solid oxide fuel cells using response surface methodology and genetic algorithm
    Cui, Yi
    Wang, Zhen
    Yang, Laishun
    Li, Jie
    Chang, Guozhang
    Song, Lei
    Yue, Guangxi
    APPLIED THERMAL ENGINEERING, 2024, 242