Abstract
A multi-objective and multi-level optimization procedure is developed for obtaining optimal structural design of filament wound composite pipes in oil and gas industries. At the first stage, regulated design constraints are identified. Required computational tools for predicting structural properties of the composite pipes are developed and validated through experimental study. Then, the pipe design procedure is formulated as an engineering optimization problem where a hybrid design-optimization platform is developed to deal with that. The platform integrates multi-objective genetic algorithm on level 1 with a premutation-based direct search approach on level 2. It is aimed to minimize the cost of the pipe while maximum values for other structural properties are expected. Manufacturing limitations are also taken into account as the constraints in addition to design requirements.
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