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In 2007, 334 nuclear reactors (including for naval propulsion) and isotope production facilities employed highly enriched uranium (HEU) fuel or target material. One year of operations at these reactors and facilities required more than 3,100 kilograms (kg) of HEU for naval propulsion, more than 750 kg for research reactors, and 40?–50 kg for isotope production in civilian facilities—in addition to several tons used in other types of reactors. Material with high enrichment levels and low radiation barriers stored or handled in large batches, such as HEU target waste and certain types of fuel from isotope production, research reactors/critical assemblies, and naval fuel, presents serious safety and security concerns. Forty-eight civilian research reactors have converted to low-enriched uranium as a result of a three-decade international effort to minimize HEU use, resulting in a decrease in HEU consumption of 278 kg per year. This article's establishment of baseline measurements for assessing the results of HEU minimization efforts calls for additional focus on the scope and methodology of HEU minimization. Facility decommissioning and dismantling should play a larger role in the future HEU minimization effort, materials with specific weapons-relevant properties should be given higher priority compared to bulk HEU material, and the use of large quantities of weapon-grade HEU fuel for naval propulsion should be reconsidered. 相似文献
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以某型反导舰炮武器系统为原型,通过分析舰炮武器系统反导作战过程,利用靶场舰炮武器系统的动态精度试验数据,建立了动态精度计算毁伤概率的数学模型,模拟了舰炮武器系统对导弹目标着发射击的毁伤概率,实现了毁伤概率的仿真计算,仿真结果与实弹射击结果接近.结果表明,应用这种方法,可以实现动态精度预估毁伤概率,为射击试验方案制定提供决策依据,也可以为舰炮武器系统射击效力的鉴定和效能评估提供参考. 相似文献
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为充分考核末端反导舰炮武器系统的反导能力,结合末端反导舰炮武器系统拦截靶弹需求对威胁概率进行了分析,提出了相关计算模型,并给出了相应的计算结果。其思路及算法不仅直接适用于末端反导舰炮拦截靶弹的安全分析,对其它武器装备试验及训练的安全分析也具有一定的参考价值。 相似文献
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采用主成分分析法将多项识别属性进行综合聚集,减少关联属性对识别的干扰,达到属性约简的目的。利用神经网络进行目标识别,通过优化训练策略,可以提高网络的收敛速度和泛化能力。主成分分析法与神经网络结合既能高效识别已知样本,又能对未知样本具有很强的自学与适应能力,从而有效地对海战场目标进行识别。通过对比仿真,证明了算法的有效性。 相似文献
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Michael J. Armstrong 《海军后勤学研究》2007,54(1):66-77
This article considers two related questions of tactics in the context of the salvo model for naval missile combat. For a given set of targets, how many missiles should be fired to produce an effective attack? For a given available salvo size, how many enemy targets should be fired at? In the deterministic version of the model I derive a simple optimality relationship between the number of missiles to fire and the number of targets to engage. In the stochastic model I employ the expected loss inflicted and the probability of enemy elimination as the main performance measures and use these to derive salvo sizes that are in some sense “optimal.” I find that the offensive firepower needed for an effective attack depends not only on a target's total strength but also on the relative balance between its active defensive power and passive staying power. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007 相似文献
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首次就舰炮对岸校正诸元的计算进行研究并建立数学模型,按此模型可正确解算舰炮对岸射击诸元,对从事舰炮火控系统研制人员具有参考价值。 相似文献
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根据激光测距仪获得的目标斜距,建立实时确定目标速度和过航斜距的数学模型,并提出解决角速率火控系统中普遍存在的计算延迟、预测精度不高和弹道气象修正困难等问题的方案。 相似文献