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优化方法在舰船抗沉决策系统中的应用研究 被引量:3

Application of Optimization Method to Counter-flooding Decision System on Damaged Warship
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摘要 为了及时有效地抗沉,构建了以模型库系统为主,数据库系统和人机交互系统并重的辅助抗沉决策系统。其中模型库系统分别由装载计算模型、不沉性计算模型和抗沉方案优化模型三个子系统组成。着重研究了用于舰船破损情况下辅助决策的优化模型。以可用抗沉舱的装载量为设计变量,以最小干舷为目标函数,以限制横倾角和纵倾值为约束条件,采用非线性规划法中的惩罚函数法求解优化模型,生成最佳抗沉方案。研究了初稳性高为正值时的优化抗沉方案。通过实例计算,并将计算结果和采用遗传算法的结果相比较,证实了该优化方法用于抗沉操作的可行性。 A counter-flooding aided decision system is developed for damage management and decision-making in shipboard flooding emergency. The system is mainly composed of a model base, a database and man-machine interaction sub-system. The model base comprises three sub-models: a damaged floating position calculation model, a loading condition calculation model and a counter-flooding scheme optimization model. In this paper an optimization model is presented, and it adopts the loading conditions of available counter-flooding tanks as the design vector, minimal freeboard as the objective function, as well as heeling angle and trim value as the constraint conditions. A penalty function of nonlinear programming method (NLP) is introduced to solve the model and to obtain the optimal counter-flooding scheme. The attention is focused on the counter-flooding scheme optimization while the initial stability height is positive. The computational results which are compared with that of genetic algorithm, have validated the effectiveness of the proposed optimization method.
出处 《中国造船》 EI CSCD 北大核心 2010年第1期148-155,共8页 Shipbuilding of China
关键词 船舶、舰船工程 破损舰船 抗沉决策 非线性规划法 ship engineering, damaged warship counter-floodingdecision NLP
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