Surrogate-Based Multidisciplinary Design Optimization of an Autonomous Underwater Vehicle Hull

Abstract

This paper performed multidisciplinary design optimization (MDO) of an AUV hull to minimize the energy consumption for sailing. The hull is decomposed into two disciplines and a multidisciplinary optimization problem is built. Multidisciplinary design feasible (MDF) architecture is adopted for optimization. A CFD-based analysis framework is proposed for resistance calculation of sample points in the hydrodynamics discipline and then a Kriging surrogate model is constructed. The optimal design of AUV hull is obtained and the computational cost is quite low with few high-fidelity CFD simulations.