Sound insulation performance optimization of lightweight sandwich panels
Optimization of lightweight sandwich panels has been intensively studied, but optimization in terms of the acoustic objective is still a hot topic, and the influence on optimization results caused by sandwich panel geometric constraints is also rarely investigated. In this study, the optimization on...
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2016-06-01
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doaj-abf5d8dd1641490b94d556b70fb8d53b2020-11-24T23:56:50ZengJVE InternationalJournal of Vibroengineering1392-87162538-84602016-06-011842574258610.21595/jve.2016.1660316603Sound insulation performance optimization of lightweight sandwich panelsXiao-mei Xu0Yi-ping Jiang1Heow-pueh Lee2Ning Chen3College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, ChinaCollege of Engineering, Nanjing Agricultural University, Nanjing, ChinaDepartment of Mechanical Engineering, National University of Singapore, Singapore, SingaporeCollege of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, ChinaOptimization of lightweight sandwich panels has been intensively studied, but optimization in terms of the acoustic objective is still a hot topic, and the influence on optimization results caused by sandwich panel geometric constraints is also rarely investigated. In this study, the optimization on lightweight sandwich panel designs is investigated by maximizing the sound insulation performance and minimizing the panel mass simultaneously. Firstly, the acoustic model of sandwich panels is discussed, which provides basic formulas to model the acoustic objective function. Secondly, the optimization problem is formulated as a bi-objective programming model, and a solution algorithm based on the non-dominated sorting genetic algorithm II (NSGA-II) is provided. Finally, the numerical experiments are carried out to verify the effectiveness of the proposed model and solution algorithm. Numerical results demonstrate the tradeoff between two objectives, the panel transmission loss corresponding to the three typical points in the Pareto front, and how the geometric constraints impact the optimization results for lightweight sandwich panels.https://www.jvejournals.com/article/16603sound insulation performancesound transmission losslightweight sandwich panelsbi-objective optimizationgenetic algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiao-mei Xu Yi-ping Jiang Heow-pueh Lee Ning Chen |
spellingShingle |
Xiao-mei Xu Yi-ping Jiang Heow-pueh Lee Ning Chen Sound insulation performance optimization of lightweight sandwich panels Journal of Vibroengineering sound insulation performance sound transmission loss lightweight sandwich panels bi-objective optimization genetic algorithm |
author_facet |
Xiao-mei Xu Yi-ping Jiang Heow-pueh Lee Ning Chen |
author_sort |
Xiao-mei Xu |
title |
Sound insulation performance optimization of lightweight sandwich panels |
title_short |
Sound insulation performance optimization of lightweight sandwich panels |
title_full |
Sound insulation performance optimization of lightweight sandwich panels |
title_fullStr |
Sound insulation performance optimization of lightweight sandwich panels |
title_full_unstemmed |
Sound insulation performance optimization of lightweight sandwich panels |
title_sort |
sound insulation performance optimization of lightweight sandwich panels |
publisher |
JVE International |
series |
Journal of Vibroengineering |
issn |
1392-8716 2538-8460 |
publishDate |
2016-06-01 |
description |
Optimization of lightweight sandwich panels has been intensively studied, but optimization in terms of the acoustic objective is still a hot topic, and the influence on optimization results caused by sandwich panel geometric constraints is also rarely investigated. In this study, the optimization on lightweight sandwich panel designs is investigated by maximizing the sound insulation performance and minimizing the panel mass simultaneously. Firstly, the acoustic model of sandwich panels is discussed, which provides basic formulas to model the acoustic objective function. Secondly, the optimization problem is formulated as a bi-objective programming model, and a solution algorithm based on the non-dominated sorting genetic algorithm II (NSGA-II) is provided. Finally, the numerical experiments are carried out to verify the effectiveness of the proposed model and solution algorithm. Numerical results demonstrate the tradeoff between two objectives, the panel transmission loss corresponding to the three typical points in the Pareto front, and how the geometric constraints impact the optimization results for lightweight sandwich panels. |
topic |
sound insulation performance sound transmission loss lightweight sandwich panels bi-objective optimization genetic algorithm |
url |
https://www.jvejournals.com/article/16603 |
work_keys_str_mv |
AT xiaomeixu soundinsulationperformanceoptimizationoflightweightsandwichpanels AT yipingjiang soundinsulationperformanceoptimizationoflightweightsandwichpanels AT heowpuehlee soundinsulationperformanceoptimizationoflightweightsandwichpanels AT ningchen soundinsulationperformanceoptimizationoflightweightsandwichpanels |
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1725456368363634688 |