Shape optimization of noise barriers using genetic algorithms

被引:44
|
作者
Duhamel, D. [1 ]
机构
[1] Inst Navier, LCPC, ENPC, LAMI,Unite Mixte, F-77455 Marne La Vallee 2, France
关键词
D O I
10.1016/j.jsv.2006.04.004
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This article presents a method to find optimal shapes for noise barriers by coupling a boundary element solution of the sound pressure around the barrier and an optimization process by genetic algorithms to minimize the sound pressure level in a domain behind the barrier. The objective is not to provide geometries with immediate practical applications but to estimate the improvement that could be obtained if noise barriers with improved shapes were used instead of the traditional barriers built today. The method supposes given source and receiver positions and the calculation provides an optimal shape for the barrier to reduce the sound pressure at receiver points over a specified frequency band. Different examples are presented to estimate the influence of the source and receiver positions, of the frequencies and the influence of the size of the barrier. The main conclusion is an estimate of the potential improvement of noise barriers efficiency by using better geometries. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:432 / 443
页数:12
相关论文
共 50 条
  • [1] Structural shape optimization using genetic algorithms
    Annicchiarico, W
    Cerrolaza, M
    BOUNDARY ELEMENTS XIX, 1997, : 399 - 408
  • [2] Shape optimization of cooling channels using genetic algorithms
    vonWolfersdorf, J
    Achermann, E
    Weigand, B
    JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 1997, 119 (02): : 380 - 388
  • [3] Missile aerodynamic shape optimization using genetic algorithms
    Anderson, MB
    Burkhalter, JE
    Jenkins, RM
    JOURNAL OF SPACECRAFT AND ROCKETS, 2000, 37 (05) : 663 - 669
  • [4] Shape design and shape optimization by genetic algorithms
    Lampinen, J
    Alander, J
    ADVANCES IN COMPUTATIONAL MECHANICS WITH HIGH PERFORMANCE COMPUTING, 1998, : 187 - 196
  • [5] Shape optimization using an adaptive crossover operator genetic algorithms
    Zhang, Minhui
    Wang, Shangjin
    Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering, 2002, 38 (01): : 51 - 54
  • [6] Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms
    Mäkinen, RAE
    Periaux, J
    Toivanen, J
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 1999, 30 (02) : 149 - 159
  • [7] New approach to constrained shape optimization using genetic algorithms
    Sharatchandra, MC
    Sen, M
    Gad-el-Hak, M
    AIAA JOURNAL, 1998, 36 (01) : 51 - 61
  • [8] Framework for the Shape Optimization of Aerodynamic Profiles Using Genetic Algorithms
    Lopez, D.
    Angulo, C.
    Fernandez de Bustos, I.
    Garcia, V.
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2013, 2013
  • [9] Airfoil shape optimization using genetic algorithms and parallel CFD
    Pan, Dartzi
    Chiu, Yung-Yu
    Zhongguo Hangkong Taikong Xuehui Huikan/Transactions of the Aeronautical and Astronautical Society of the Republic of China, 2002, 34 (04): : 347 - 352
  • [10] Shape optimization of HTS magnets using hybrid genetic algorithms
    Wang C.
    Wang Q. L.
    ICEC 20: PROCEEDINGS OF THE TWENTIETH INTERNATIONAL CRYOGENIC ENGINEERING CONFERENCE, 2005, : 713 - 716