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This paper presents results of hull form optimization of a research vessel using numerical simulation.
This paper focuses on hull surface automatic modification and its application in hull form optimization.
The hull form optimization concerns one of the most important applications of wave making resistance theories.
We propose a method combined infrared material selection and optical form optimization to reduce the internal stray radiation of lens.
The paper presents the uncertainty hull form optimization design method for minimum EEOI, considering the influence of travelling speed perturbation.
Among the existing approaches, the artificial intelligence-based approaches that accumulate the operational and optimization experience and form optimization policies based on these experiences are the most promising.
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We derive the shape gradient function by using the material derivative method and apply it to the free-form optimization method for determining the optimal shape.
Closed-form optimization solutions are unfortunately not possible for (10) due to the involvement of multiple sources.
The proposed free-form optimization method is a kind of non-parametric optimization method based on the H1 gradient method.
Numerical examples are presented to demonstrate the validity and practical utility of the proposed free-form optimization method.
The numerical results show that the optimized shapes of the orthotropic shells are smooth, and their fundamental frequencies are significantly enhanced using the proposed free-form optimization method.
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