Blast resistance and multi-objective optimization of aluminum foam-cored sandwich panels

2013 ◽  
Vol 105 ◽  
pp. 45-57 ◽  
Author(s):  
Chang Qi ◽  
Shu Yang ◽  
Li-Jun Yang ◽  
Zhi-Yong Wei ◽  
Zhen-Hua Lu
Keyword(s):  
Aluminum Foam ◽  
Blast Resistance ◽  
Sandwich Panels ◽  
Multi Objective Optimization ◽  
Multi Objective

scholarly journals Blast resistance of stiffened sandwich panels with closed-cell aluminum foam

2014 ◽  
Vol 11 (13) ◽  
pp. 2497-2515 ◽  
Author(s):  
Manmohan Dass Goel ◽  
Vasant A. Matsagar ◽  
Anil K. Gupta
Keyword(s):  
Aluminum Foam ◽  
Blast Resistance ◽  
Sandwich Panels ◽  
Closed Cell

scholarly journals Multi-Objective Optimization Design of Corrugated Steel Sandwich Panel for Impact Resistance

Metals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1378
Author(s):  
Li Ke ◽  
Kun Liu ◽  
Guangming Wu ◽  
Zili Wang ◽  
Peng Wang
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Bp Neural Network ◽  
Structural Parameters ◽  
Impact Resistance ◽  
Sandwich Panels ◽  
Adaptive Genetic Algorithm ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Sample Points

The application of corrugated steel sandwich panels on ships requires excellent structural performance in impact resistance, which is often achieved by increasing the weight without giving full play to the characteristics of the structure. Considering the mechanical properties of sandwich panels under static and impact loading, a multi-objective optimal method based on a back-propagation (BP) neural network and a genetic algorithm developed in MATLAB is proposed herein. The evaluation criteria for this method included structural mass, static and dynamic stress, static and dynamic deformation, and energy absorption. Before optimization, representative sample points were obtained through numerical simulation calculations. Then, the functional relationship between the design and output variables was generated using the BP neural network. Finally, a standard genetic algorithm (SGA) and an adaptive genetic algorithm (AGA) were used for multi-objective optimization analysis with the established function to obtain the best result. Through this study, a new design concept with high efficiency and reliability was developed to determine the structural parameters that provide the best impact resistance using limited sample points.

MULTI-OBJECTIVE OPTIMIZATION OF ACOUSTIC SANDWICH PANELS

1988 ◽  
Vol 13 (2) ◽  
pp. 147-172 ◽  
Author(s):  
SPILIOS E. MAKRIS ◽  
J. MacGREGOR SMITH ◽  
CLIVE L. DYM
Keyword(s):  
Sandwich Panels ◽  
Multi Objective Optimization ◽  
Multi Objective
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