Dissertation/Thesis Abstract

Optimum stacking sequence design of composite sandwich panel using genetic algorithms
by Bir, Amarpreet Singh, M.S., California State University, Long Beach, 2012, 108; 1521611
Abstract (Summary)

Composite sandwich structures recently gained preference for various structural components over conventional metals and simple composite laminates in the aerospace industries. For most widely used composite sandwich structures, the optimization problems only requires the determination of the best stacking sequence and the number of laminae with different fiber orientations. Genetic algorithm optimization technique based on Darwin's theory of survival of the fittest and evolution is most suitable for solving such optimization problems. The present research work focuses on the stacking sequence optimization of composite sandwich panels with laminated face-sheets for both critical buckling load maximization and thickness minimization problems, subjected to bi-axial compressive loading. In the previous studies, only balanced and even-numbered simple composite laminate panels have been investigated ignoring the effects of bending-twisting coupling terms. The current work broadens the application of genetic algorithms to more complex composite sandwich panels with balanced, unbalanced, even and odd-numbered face-sheet laminates including the effects of bending-twisting coupling terms.

Indexing (document details)
Advisor: Chen, Hsin-Piao
Commitee: Chen, Hsin-Piao, Chen, Hsun-Hu, Tzong, Tsair-Jyh
School: California State University, Long Beach
Department: Mechanical and Aerospace Engineering
School Location: United States -- California
Source: MAI 51/04M(E), Masters Abstracts International
Subjects: Aerospace engineering
Publication Number: 1521611
ISBN: 9781267790408
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