Multi-objective optimal design of sandwich panels using a genetic algorithm. Issue 10 (3rd October 2017)

• Record Type: Journal Article
• Authors: Xu, Xiaomei; Jiang, Yiping; Pueh Lee, Heow
• Is Part Of: Engineering optimization. Volume 49:Issue 10(2017)
• Page Start: 1665
• Page End: 1684
• Publication Date: 2017-10-03
• Subjects: Sandwich panels -- multi-objective optimization -- sound transmission loss -- genetic algorithm; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2016.1265304
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: In this study, an optimization problem concerning sandwich panels is investigated by simultaneously considering the two objectives of minimizing the panel mass and maximizing the sound insulation performance. First of all, the acoustic model of sandwich panels is discussed, which provides a foundation to model the acoustic objective function. Then 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 to solve the proposed model. Finally, taking an example of a sandwich panel that is expected to be used as an automotive roof panel, numerical experiments are carried out to verify the effectiveness of the proposed model and solution algorithm. Numerical results demonstrate in detail how the core material, geometric constraints and mechanical constraints impact the optimal designs of sandwich panels.