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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Main Authors: Xiao-mei Xu, Yi-ping Jiang, Heow-pueh Lee, Ning Chen
Format: Article
Language:English
Published: JVE International 2016-06-01
Series:Journal of Vibroengineering
Subjects:
Online Access:https://www.jvejournals.com/article/16603
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spelling 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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