Extraction Force Prediction for Male Entrapment Victims with Different Body Types Submerged below the Grain Surface.

IF 0.9 Q4 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Journal of Agricultural Safety and Health Pub Date : 2019-04-16 DOI:10.13031/jash.13155
Charles V Schwab, Lauren E Schwab, Schwab J Schwab
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Abstract

One contributor to agriculture's high death rate is confined space fatalities caused by entrapment in grain. Over 1,000 grain-related fatalities have been documented by researchers in 43 states, and states with the largest grain storage capacities have been shown to experience a proportionally larger number of suffocation fatalities. Several researchers have measured extraction forces in specific conditions, but a reference standard is needed for estimating the extraction forces for grain suffocation victims in common conditions. A prediction model for estimating extraction forces was developed using the principle of boundary shear, an approximation of human surface area, and a commonly accepted equation for lateral granular pressure. This research reintroduces the prediction model for extraction forces and explores several sensitivity analyses of the input variables. It also updates the anthropometric data used in the model calculations and produces extraction force estimates for adult male victims with different body shapes submerged below the grain surface. Results from the prediction model are presented graphically for common input variables, various entrapment depths, and adult male body shapes.

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不同体型男性诱捕受害者淹没在谷物表面下的提取力预测。
农业高死亡率的一个原因是被困在谷物中造成的密闭空间死亡。43个州的研究人员记录了1000多起与粮食有关的死亡事件,而粮食储存能力最大的州的窒息死亡人数比例更高。一些研究者已经测量了特定条件下的抽吸力,但对于一般条件下谷物窒息受害者的抽吸力估算,还需要一个参考标准。利用边界剪切原理、近似人体表面积和普遍接受的横向颗粒压力方程,建立了估算提取力的预测模型。本研究重新引入了萃取力的预测模型,并探讨了几种输入变量的敏感性分析。它还更新了模型计算中使用的人体测量数据,并为淹没在谷物表面下的不同体型的成年男性受害者提供了提取力估计。预测模型的结果以图形形式展示了常见的输入变量、不同的捕获深度和成年男性的体型。
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来源期刊
Journal of Agricultural Safety and Health
Journal of Agricultural Safety and Health PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
1.50
自引率
20.00%
发文量
10
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