Multi-fidelity optimization design of pressure-resistant cabin fixing brackets for blended-wing-body underwater glider
[Objective]The Blended-Wing-Body(BWB)underwater glider is prone to structural damage during the lifting process.This study seeks to ensure its structural safety and achieve the goal of lightweight design by optimizing the internal pressure-resistant cabin fixing bracket.[Methods]A multi-fidelity data-driven optimization method is adopted and combined with the structural parametric modeling method and fi-nite element method to carry out the structural design of the fixing bracket.High and low fidelity numerical models of the bracket structure are established,and a multi-fidelity data-driven optimization method based on the hierarchical Kriging model is proposed,on which basis a fully automatic optimization design framework for the cabin fixing frame is constructed and used to complete the optimization design.[Results]While en-suring structural safety,the mass of the optimized cabin fixing bracket is reduced by 16.4%.Compared with the particle swarm optimization algorithm,the proposed optimization design method can reduce computation-al costs by 75%while obtaining the same level of optimization design results,greatly improving the efficiency of optimization design.[Conclusion]The results of this study can provide an efficient optimization design approach for the structural design of pressure-resistant cabin fixing brackets for BWB underwater gliders.
naval architectureautonomous underwater vehiclesunderwater gliderstructural designdata-driven optimizationmulti-fidelity optimizationsurrogate model
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