AJS - Lorenzo Fabris
Автор: SISSA SIAM Student Chapter
Загружено: 2024-06-25
Просмотров: 54
Speaker: Lorenzo Fabris (SISSA)
Title: Data-driven reparameterization for the structural optimization of cruise ship hulls
Abstract:
The shipbuilding industry is facing new challenges in hull design, to achieve lower operational and building costs, while adhering to structural stability regulations.
Data-driven reduced order modeling has been used to implement a pipeline for the structural optimization of cruise ship hulls, based on proper orthogonal decomposition, Gaussian process regression and Bayesian optimization.
We present two improvements: multi-objective optimization based on genetic algorithms, and a hierarchical parameterization refinement procedure based on hull responses.
The pipeline has been tested on a simplified hull and a full ship, achieving considerable reduction of the total mass from very coarse initial parameterizations.
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