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Abstract

Face-sheet wrinkling is a standard failure mode for sandwich structures with thin, stiff face sheets and a thick, soft core under in-plane compression. Constructing a core with a multi-layer material and placing the stiffest material in the outermost region of the core can efficiently improve the wrinkling stress. However, complex engineering requirements may hinder this ideal core design. Hence, the design of sandwich structures for maximum wrinkling stress requires a systematic structural optimization method. This study proposes a max-min structural optimization model for the design of the multi-layer core thickness distribution in a sandwich beam, aiming at the maximization of wrinkling stress. Two series of layers are introduced: virtual and physical. The thicknesses of the former serve to compute the wrinkling stress, whereas those of the latter serve to describe the thickness distribution of the multi-layer core. The optimization is structured in two levels: the inner level is formulated as a minimization problem to compute the wrinkling stress, and the outer level as a maximization problem to obtain the optimal thickness distribution. The proposed max-min optimization model determines the optimal thickness distribution of a sandwich beam with a multi-layer core to achieve maximum wrinkling stress, independent of specific engineering requirements. For example, simple mass requirements in engineering may prevent the stiffest material from being placed on the outermost layer. Moreover, the method is highly computationally efficient, owing to the simple convex feasible domains of its optimization model and the elimination of matrix eigenvalue solutions and finite element mesh operations. We therefore recommend its adoption in engineering design because the method can explicitly incorporate complex constraints into its formulation.

Details

1009240
Title
Optimization formulation for determining and maximizing wrinkling stress of the sandwich beam
Author
Su, Wenzheng 1   VIAFID ORCID Logo  ; Song, Xiangqing 2 ; Liu, Shutian 3 

 School of Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China; State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116023, China  [email protected]
 School of Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China 
 State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment, Dalian University of Technology, Dalian 116023, China 
Author e-mail address
Volume
12
Issue
11
First page
24
End page
36
Number of pages
14
Publication year
2025
Publication date
Nov 2025
Section
Research Article
Publisher
Oxford University Press
Place of publication
Oxford
Country of publication
United Kingdom
ISSN
22885048
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-10-21
Milestone dates
2025-08-07 (Received); 2025-10-12 (Rev-Recd); 2025-10-14 (Accepted); 2025-11-06 (Corrected-Typeset)
Publication history
 
 
   First posting date
21 Oct 2025
ProQuest document ID
3269983389
Document URL
https://www.proquest.com/scholarly-journals/optimization-formulation-determining-maximizing/docview/3269983389/se-2?accountid=208611
Copyright
© 2025 The Author(s) 2025. Published by Oxford University Press on behalf of the Society for Computational Design and Engineering. This work is published under https://creativecommons.org/licenses/by-nc/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-11-22
Database
2 databases
  • ProQuest One Academic
  • ProQuest One Academic