Modern Approaches on the Optimization of Composite Structures
Author(s):Tomme: LIX (LXIII) | Fascicle: 6 | 2013
Pages: 43-54
Abstract text:
A laminated fibre reinforced composite structure is usually tailored, according to the design objectives, by choosing the individual constituents and of their volume fractions, the fiber orientation, the laminae thicknesses and orientation of the plies, their number and stacking sequences, as well as the fabrication procedure. To achieve the best results, optimization techniques have been developed. In recent years, some optimization methods, that are conceptually different from the traditional mathematical programming techniques, have been developed. These methods are labeled as modern or nontraditional methods of optimization. This paper provides a review of modern optimization methods, used for the design of composite structures: Genetic Algorithm (GA), Simulated Annealing Method (SAM), Particle Swarm Optimization Algorithm (PSOA) and Ant Colony Optimization (ACO). The existing published studies emphasize the suitability of these methods, which allows that many design parameters and constraints to be used in the optimization process of composite structures.
Key Words:
optimization design; composite structures; stochastic method.
Author(s) Information
Andrei AxinteAffiliation: „Gheorghe Asachi” Technical University of Iaşi, Faculty of Civil Engineering and Building Services
Email: aaxinte0@yahoo.com
Liliana Bejan
Affiliation: „Gheorghe Asachi” Technical University of Iaşi, Faculty of Machine Manufacturing and Industrial Management
Email:
Nicolae Ţăranu
Affiliation: „Gheorghe Asachi” Technical University of Iaşi, Faculty of Civil Engineering and Building Services
Email:
Paul Ciobanu
Affiliation: „Gheorghe Asachi” Technical University of Iaşi, Faculty of Civil Engineering and Building Services
Email:
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