Optimal Design of Variable-Stiffness Fiber-Reinforced Composites

The concept of variable-stiffness composites allows the stiffness properties to vary spatially in the material. In the case of fiber-reinforced composites, the mechanical properties of the composite can be improved by tailoring the fiber orientations in a spatially optimal manner. In this paper, the problem of optimal spatial orientation of fibers in a two-dimensional composite structure under in-plane loading is studied, using the strain energy-minimizing method. The fiber orientation is assumed to be constant within each element of the model but varies from element to element. The optimal design problem is solved numerically using a global optimization method based on a genetic algorithm. Some numerical examples illustrate the efficiency and applicability of the method.

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Publication Details

Journal
Mathematics
Published
2025-06-07
DOI
https://doi.org/10.3390/math13121909
Citations
2
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
1.91
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article

Optimal Design of Variable-Stiffness Fiber-Reinforced Composites

E.P. Hadjigeorgiou, Vassilios K. Kalpakides, Christos A. Patsouras
2 citations
Mathematics
Topology Optimization in Engineering
1.91
article

Optimal Design of Variable-Stiffness Fiber-Reinforced Composites

E.P. Hadjigeorgiou, Vassilios K. Kalpakides, Christos A. Patsouras
article en
2 citations

Abstract

The concept of variable-stiffness composites allows the stiffness properties to vary spatially in the material. In the case of fiber-reinforced composites, the mechanical properties of the composite can be improved by tailoring the fiber orientations in a spatially optimal manner. In this paper, the problem of optimal spatial orientation of fibers in a two-dimensional composite structure under in-plane loading is studied, using the strain energy-minimizing method. The fiber orientation is assumed to be constant within each element of the model but varies from element to element. The optimal design problem is solved numerically using a global optimization method based on a genetic algorithm. Some numerical examples illustrate the efficiency and applicability of the method.

MathematicsVol. 13(12)
National Technical University of Athens (GR), University of Ioannina (GR)
Openalex Percentile: Top 15%
Topology Optimization in Engineering
1.91
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