预测潜水塔逃生后减压病对生存的影响

Q3 Decision Sciences
G. Loveman, Joel J.E. Edney
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引用次数: 0

摘要

本研究的目的是发展一种方法,将沉没潜艇塔台逃生后的减压病(DCS)预测率转化为预测的生存概率,这是一种更有用的统计数据,可用于制定作战决策。设计/方法/方法使用现有模型对潜艇塔逃生后一系列DCS症状的概率进行了预测。主题专家估计这些症状对潜艇艇员在海面良好天气条件下生存直到获救的能力的影响,并使用标准概率论将不同症状发生的可能性结合起来。绘制了逃生后预测生存概率与逃生深度和受损潜艇内压力的关系图。目前关于是否尝试逃离塔的建议是基于避免DCS率超过大约5%-10%。考虑到预测的存活率,基于主题专家的意见,表明目前的建议可能被认为是保守的,因为10%的DCS率预计不会显著影响存活率。原创性/价值据作者所知,本研究首次尝试量化不同DCS症状对潜艇塔逃生中生存概率的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the effect of decompression sickness on survival following submarine tower escape
Purpose The purpose of the present study was the development of a methodology for translating predicted rates of decompression sickness (DCS), following tower escape from a sunken submarine, into predicted probability of survival, a more useful statistic for making operational decisions. Design/methodology/approach Predictions were made, using existing models, for the probabilities of a range of DCS symptoms following submarine tower escape. Subject matter expert estimates of the effect of these symptoms on a submariner’s ability to survive in benign weather conditions on the sea surface until rescued were combined with the likelihoods of the different symptoms occurring using standard probability theory. Plots were generated showing the dependence of predicted probability of survival following escape on the escape depth and the pressure within the stricken submarine. Findings Current advice on whether to attempt tower escape is based on avoiding rates of DCS above approximately 5%–10%. Consideration of predicted survival rates, based on subject matter expert opinion, suggests that the current advice might be considered as conservative in the distressed submarine scenario, as DCS rates of 10% are not anticipated to markedly affect survival rates. Originality/value According to the authors’ knowledge, this study represents the first attempt to quantify the effect of different DCS symptoms on the probability of survival in submarine tower escape.
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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
5
审稿时长
12 weeks
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