亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Fast-running tools for personalized monitoring of blast exposure in military training and operations

培训(气象学) 医学 计算机科学 医疗急救 军事医学 军事人员 航空学
作者
Andrzej Przekwas,Harsha T. Garimella,Z. J. Chen,Tim Zehnbauer,Raj K. Gupta,Maciej Skotak,Walter Carr,Gary H. Kamimori
出处
期刊:Military Medicine [Oxford University Press]
卷期号:186: 529-536
标识
DOI:10.1093/milmed/usaa341
摘要

INTRODUCTION During training and combat operations, military personnel may be exposed to repetitive low-level blast while using explosives to gain entry or by firing heavy weapon systems such as recoilless weapons and high-caliber sniper rifles. This repeated exposure, even within allowable limits, has been associated with cognitive deficits similar to that of accidental and sports concussion such as delayed verbal memory, visual-spatial memory, and executive function. This article presents a novel framework for accurate calculation of the human body blast exposure in military heavy weapon training scenarios using data from the free-field and warfighter wearable pressure sensors. MATERIALS AND METHODS The CoBi human body model generator tools were used to reconstruct multiple training scenes with different weapon systems. The CoBi Blast tools were used to develop the weapon signature and estimate blast overpressure exposure. The authors have used data from the free-field and wearable pressure sensors to evaluate the framework. RESULTS Carl-Gustav and 0.50 caliber sniper training scenarios were used to demonstrate and validate the developed framework. These simulations can calculate spatially and temporally resolved blast loads on the whole human body and on specific organs vulnerable to blast loads, such as head, face, and lungs. CONCLUSIONS This framework has numerous advantages including easier model setup and shorter simulation times. The framework is an important step towards developing an advanced field-applicable technology to monitor low-level blast exposure during heavy weapon military training and combat scenarios.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
情怀应助twk采纳,获得10
6秒前
honglingjing完成签到,获得积分10
10秒前
13秒前
瞬间发布了新的文献求助10
18秒前
21秒前
Sylvia发布了新的文献求助10
28秒前
Orange应助科研通管家采纳,获得10
1分钟前
SW完成签到,获得积分10
1分钟前
CipherSage应助SW采纳,获得10
1分钟前
1分钟前
jeff发布了新的文献求助10
1分钟前
Lucky完成签到 ,获得积分10
1分钟前
1分钟前
twk发布了新的文献求助10
1分钟前
科研通AI6.3应助twk采纳,获得10
1分钟前
2分钟前
大个应助Ting222采纳,获得10
2分钟前
2分钟前
SW发布了新的文献求助10
2分钟前
李健应助jeff采纳,获得10
2分钟前
量子星尘发布了新的文献求助10
2分钟前
guo完成签到,获得积分10
2分钟前
2分钟前
3分钟前
研友_VZG7GZ应助科研通管家采纳,获得10
3分钟前
NexusExplorer应助科研通管家采纳,获得10
3分钟前
虚幻秋白发布了新的文献求助10
3分钟前
科研通AI6.1应助虚幻秋白采纳,获得10
3分钟前
3分钟前
木木完成签到 ,获得积分10
3分钟前
瞬间发布了新的文献求助30
3分钟前
4分钟前
xbb88发布了新的文献求助10
4分钟前
CodeCraft应助xbb88采纳,获得10
4分钟前
Twonej应助xbb88采纳,获得30
4分钟前
xbb88完成签到,获得积分10
4分钟前
5分钟前
9527完成签到,获得积分10
5分钟前
科研通AI2S应助科研通管家采纳,获得10
5分钟前
5分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Social Work and Social Welfare: An Invitation(7th Edition) 410
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6050968
求助须知:如何正确求助?哪些是违规求助? 7852890
关于积分的说明 16267083
捐赠科研通 5196104
什么是DOI,文献DOI怎么找? 2780456
邀请新用户注册赠送积分活动 1763381
关于科研通互助平台的介绍 1645397