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Landing Undershoot Accidents: An analysis of deceleration and the x location of the wreckage

机译:着陆下冲事故:减速度和残骸的x位置分析

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Previous descriptions of the accident location of landing undershoots (LDUS) have used a complementary cumulative probability distribution (CCPD) that shows that most x distances are short, irrespective of sign, and longer distances are relatively rare although the airborne nature of these accidents makes this distribution more volatile than those for overrun accidents and many cases are a long way from the runway. The distribution is well-behaved and can be 'modelled' with an exponential function with a high degree of accuracy, as judged by R2. But this is no substitute for understanding. It is well known that distances will be governed by aircraft and runway characteristics, meteorological conditions, runway exit speed where relevant, deceleration as well as the type of surface traversed. Distance is directly related to deceleration and speed. The other variables affect deceleration. In addition, the number and frangibility of the obstacles encountered will also have an important influence. This paper begins to explore a statistical model that takes these factors into account and explains wreckage location and deceleration as an aid to the improved design of runway safety areas.
机译:先前对着陆下冲事故位置(LDUS)的描述使用了互补的累积概率分布(CCPD),该分布表明大多数x距离都很短,与符号无关,而较长的距离相对罕见,尽管这些事故的机载性质使得分布比起超车事故更不稳定,许多情况离跑道很远。根据R2的判断,该分布行为良好,可以使用具有高精度的指数函数进行“建模”。但这不能替代理解。众所周知,距离将取决于飞机和跑道的特性,气象条件,相关的跑道出口速度,减速度以及所经过的表面的类型。距离与减速度和速度直接相关。其他变量会影响减速度。此外,遇到的障碍的数量和脆弱性也将产生重要影响。本文开始探索将这些因素考虑在内的统计模型,并解释残骸的位置和减速度,以帮助改进跑道安全区的设计。

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