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Multi-objective optimization of laminated composite shells for minimum mass/cost and maximum buckling pressure with failure criteria under external hydrostatic pressure
- Source :
- Structural and Multidisciplinary Optimization. 55:1051-1062
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- In the present study, Multi-objective optimization of composite cylindrical shell under external hydrostatic pressure was investigated. Parameters of mass, cost and buckling pressure as fitness functions and failure criteria as optimization criterion were considered. The objective function of buckling has been used by performing the analytical energy equations and Tsai-Wu and Hashin failure criteria have been considered. Multi-objective optimization was performed by improving the evolutionary algorithm of NSGA-II. Also the kind of material, quantity of layers and fiber orientations have been considered as design variables. After optimizing, Pareto front and corresponding points to Pareto front are presented. Trade of points which have optimized mass and cost were selected by determining the specified pressure as design criteria. Finally, an optimized model of composite cylindrical shell with the optimum pattern of fiber orientations having appropriate cost and mass is presented which can tolerate the maximum external hydrostatic pressure.
- Subjects :
- Engineering
Control and Optimization
business.industry
Hydrostatic pressure
Composite number
Evolutionary algorithm
Shell (structure)
Minimum mass
02 engineering and technology
Structural engineering
021001 nanoscience & nanotechnology
Computer Graphics and Computer-Aided Design
Multi-objective optimization
Computer Science Applications
020303 mechanical engineering & transports
0203 mechanical engineering
Buckling
Control and Systems Engineering
0210 nano-technology
Engineering design process
business
Software
Subjects
Details
- ISSN :
- 16151488 and 1615147X
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- Structural and Multidisciplinary Optimization
- Accession number :
- edsair.doi...........3a80c93d379dc9ed56a7377c69f730c6
- Full Text :
- https://doi.org/10.1007/s00158-016-1559-2