首页> 外文期刊>Journal of the Balkan Tribological Association >LOW NOISE HIGH MOBILITY MULTIDISCIPLINARY OPTIMISATION DESIGN OF THE SUBMARINE BASED ON COLLABORATIVE OPTIMISATION ALGORITHM
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LOW NOISE HIGH MOBILITY MULTIDISCIPLINARY OPTIMISATION DESIGN OF THE SUBMARINE BASED ON COLLABORATIVE OPTIMISATION ALGORITHM

机译:基于协同优化算法的潜艇低噪声高机动性多学科优化设计

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摘要

MDO (Multidisciplinary Design Optimisation) is the most active field of current research on complex system engineering design. To solve the low resistance, low noise and high mobility multidisciplinary design optimisation problems of submarine shape, based on multidisciplinary collaborative optimisation framework, divided the optimisation design of submarine shape into three disciplines multidisciplinary optimisation design problem of a system-level and containing hydrodynamic discipline, flow noise discipline, maneuverability discipline. For traditional multidisciplinary collaborative optimisation algorithm solving actual complex MDO problem facing the defects of convergence difficulties and calculating time-consuming, presented a realistic improved new collaborative optimisation (NCO) algorithm and applied it to the multidisciplinary optimisation of the submarine shape. Meanwhile, the use of response surface meta-model solved the coupling problem between discipline-level and system-level. The results show that, NCO can guarantee the stability and reliability of the submarine shape low resistance, low noise and high mobility multidisciplinary optimisation design convergence results, the build of response surface meta-model between discipline-level and system-level can effectively improve the convergence rate.
机译:MDO(多学科设计优化)是当前有关复杂系统工程设计的最活跃领域。为了解决海底形状的低阻力,低噪声,高迁移率的多学科优化设计问题,基于多学科协同优化框架,将潜艇形状的优化设计分为系统级且包含水动力学科的三个学科的多学科优化设计问题,流动噪声学科,可操纵性学科。针对传统的多学科协同优化算法,解决了面临收敛困难,计算时间长的复杂的MDO问题,提出了一种现实的,改进的新型协同优化算法(NCO),并将其应用于潜艇形态的多学科优化。同时,使用响应面元模型解决了学科层次与系统层次之间的耦合问题。结果表明,NCO可以保证海底形状低电阻,低噪声和高迁移率多学科优化设计收敛结果的稳定性和可靠性,在学科层次和系统层次之间建立响应面元模型可以有效地提高海面形状。收敛速度。

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