Surrogate-Based Optimization Using an Open-Source Framework: The Bulbous Bow Shape Optimization Case

Mathematical and Computational Applications

Pralits, Jan¹  Guerrero, Joel²  Cominetti, Alberto³ 

[1] Author to whom correspondence should be addressed;DICCA, Dipartimento di Ingegneria Civile, Chimica e Ambientale, Università degli Studi di Genova, 16145 Genova, Italy;DITEN, Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni, Università degli Studi di Genova, 16145 Genova, Italy

关键词: surrogate-based optimization;    numerical simulations;    shape morphing;    bulbous bow;    open-source framework;   

DOI  :  10.3390/mca23040060

学科分类：计算数学

来源: mdpi

【 摘 要 】

Shape optimization is a very time-consuming and expensive task, especially if experimental tests need to be performed. To overcome the challenges of geometry optimization, the industry is increasingly relying on numerical simulations. These kinds of problems typically involve the interaction of three main applications: a solid modeler, a multi-physics solver, and an optimizer. In this manuscript, we present a shape optimization work-flow entirely based on open-source tools; it is fault tolerant and software agnostic, allows for asynchronous simulations, and has a high degree of automation. To demonstrate the usability and flexibility of the proposed methodology, we tested it in a practical case related to the naval industry, where we aimed at optimizing the shape of a bulbous bow in order to minimize the hydrodynamic resistance. As design variables, we considered the protrusion and immersion of the bulbous bow, and we used surrogate-based optimization. From the results presented, a non-negligible resistance reduction is obtainable using the proposed work-flow and optimization strategy.

【 授权许可】

CC BY