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Deterministic-based robust design optimization of composite structures under material uncertainty
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DOI：10.1016/j.compstruct.2023.117336.png)
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Abstract
En 中文
We propose a new deterministic robust design optimization method for composite laminate structures under worst-case material uncertainty. The method is based on a simultaneous parametrization of topology and material and combines a design problem and a material uncertainty problem into a single min-max optimization problem which provides an efficient approach to handle variation of material properties in stiffness driven design optimization problems. An analysis is performed using a design problem based on a failure criterion formulation to evaluate the ability of the proposed method to generate robust composite designs. The design problem is solved using various loads, boundary conditions and manufacturing constraints. The designs generated with the proposed method have improved objective responses compared to the worst -case response of designs generated with nominal material properties and are less sensitive to the variation of material properties. The analysis indicates that the proposed method can be efficiently applied in a robust structural optimization framework.
Keywords:
Laminated composites
Structural optimization
Hyperbolic function parametrization
Robust optimization
Failure criterion
Material uncertainty
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