Uncertain optimization of composite laminated plates using a nonlinear interval number programming method

An uncertain optimization method is suggested to optimize the ply orientations of a composite laminated plate with uncertain material property to obtain a maximum stiffness in the thickness direction. Interval numbers are employed to model the uncertainty of the material property by which only the b...

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Vydáno v:Computers & structures Ročník 86; číslo 17; s. 1696 - 1703
Hlavní autoři: Jiang, C., Han, X., Liu, G.P.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.09.2008
Elsevier Science
Témata:
Applied sciences
Composite laminated plate
Composites
Computational techniques
Exact sciences and technology
Forms of application and semi-finished materials
Fundamental areas of phenomenology (including applications)
Interval number
Mathematical methods in physics
Physics
Ply orientation
Polymer industry, paints, wood
Solid mechanics
Stiffness
Structural and continuum mechanics
Technology of polymers
Uncertain optimization
Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)
Composite laminated plate
Stiffness
Ply orientation
Uncertain optimization
Interval number
Uncertain system
Stratified material
Composite laminated plate,Uncertain optimization,Stiffness,Ply orientation,Interval number
Optimization method
Fiber orientation
Non linear programming
Elastic wave
Elastodynamics
Deterministic approach
Modeling
Composite material
Optimization
ISSN:0045-7949, 1879-2243
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Popis
Shrnutí:An uncertain optimization method is suggested to optimize the ply orientations of a composite laminated plate with uncertain material property to obtain a maximum stiffness in the thickness direction. Interval numbers are employed to model the uncertainty of the material property by which only the bounds of the uncertain parameters are needed. An uncertain optimization problem is created based on the elastic waves which are computed by a hybrid numerical method efficiently. A nonlinear interval number programming method is suggested to deal with the uncertain optimization problem. In this method a new order relation of interval number is constructed to transform the uncertain objective function into a deterministic two-objective optimization problem, and a hybrid optimization algorithm is used to eliminate the optimization nesting of the simulation model and whereby improve the computation efficiency. Three numerical examples are investigated, and the optimization results demonstrate the effectiveness of the present method.
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content type line 23
ISSN:0045-7949
1879-2243
DOI:10.1016/j.compstruc.2008.02.009