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Faculty of Engineering and Built Environment

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    Design optimization of anisotropic pressure vessels with manufacturing uncertainties accounted for
    (Elsevier, 2013-04) Tabakov, Pavel Y.; Walker, Mark
    Accurate optimal design solutions for most engineering structures present considerable difficulties due to the complexity and multi-modality of the functional design space. The situation is made even more complex when potential manufacturing tolerances must be accounted for in the optimizing process. The present study provides an original in-depth analysis of the problem and then a new technique for determining the optimal design of engineering structures, with manufacturing tolerances accounted for, is proposed and demonstrated. The numerical examples used to demonstrate the technique involve the design optimization of anisotropic fibre-reinforced laminated pressure vessels. It is assumed that the probability of any tolerance value occurring within the tolerance band, compared with any other, is equal, and thus it is a worst-case scenario approach. A genetic algorithm with fitness sharing, including a micro-genetic algorithm, has been found to be very suitable to use, and implemented in the technique.
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    A technique for optimally designing fibre-reinforced laminated plates with manufacturing uncertainties for maximum buckling strength
    (Taylor & Francis, 2005) Walker, Mark; Hamilton, Ryan Jason
    This article describes a procedure to design symmetrically laminated plates for maximum buckling load with manufacturing uncertainty in the ply angle, which is the design variable. It is assumed that the probability of any tolerance value occurring within the tolerance band, compared with any other, is equal. The methodology is flexible enough to allow any appropriate problem formulation and search algorithm to be substituted. Three different tolerance scenarios are used for the purposes of illustrating the methodology, and plates with varying aspect ratios and loading ratios are optimally designed and compared.