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基于人工神经网络的船舶油耗模型 总被引:1,自引:1,他引:0
针对船舶能效管理计划SEEMP的实施需求,寻求建立油耗模型的通用方法,为航行优化提供决策基础。以丹麦籍客滚轮MS Smyril号作为研究案例,对船舶实测运行数据进行了分析和预处理,并采用人工神经网络构建了船舶油耗和航速的黑箱模型。基于实测数据与模型预测数据的对比,验证了上述油耗模型的准确性和实用性,对于提高船舶能效运行指数EEOI具有重要意义。 相似文献
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Damping plates have been used for truss spars in gulf of Mexico to reduce the heave motions. The plates are usually perforated with holes for the passage of marine risers, but the effects of the perforation have not been examined thoroughly. In the present study, a computational fluid dynamics investigation into the hydrodynamic forces is carried out by using FLUENT, which is on two-dimensional perforated plates with varying degrees of perforation in oscillating flow under small Keulegan-Carpenter (KC) number. The numerical results of the hydrodynamic coefficients are presented. The effects of both the perforation ratio (PR) and KC number on the hydrodynamic coefficients of the plates are discussed. Some results of the simulated flow patterns around the plates were also given and discussed. 相似文献
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根据信息化条件下机步师城市进攻战斗联合火力打击特点,以最优化理论为基础,对战场联合火力打击目标价值进行了分析和排序,并通过实例对该模型的有效性和实用性进行了验证,为指挥员的决策行为提供了理论依据。 相似文献
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