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] 日期:2021-01-25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.