Understanding post-impact biomechanics of ballistic cranial injury by smoothed particle hydrodynamics numerical modelling

IF 2.8 3区 工程技术 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Computational Particle Mechanics Pub Date : 2024-07-01 DOI:10.1007/s40571-024-00783-2
Akanae Chattrairat, Everson Kandare, Sontipee Aimmanee, Phuong Tran, Raj Das
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Abstract

Virtual crime scene investigation using numerical models has the potential to assist in the forensic investigation of firearm-related fatalities, where ethical concerns and expensive resources limit the scope of physical experiments to comprehend the post-impact biomechanics comprehensively. The human cranial numerical model developed in this study incorporates three main components (skin, skull, and brain) with dynamic biomaterial properties. The virtual model provides valuable insights into the post-impact biomechanics of cranial ballistic injuries, particularly in high-speed events beyond conventional investigative capabilities, including the velocity of ejected blood backspatter, cavitation collapsing, and pressure waves. The validation of the numerical model, both quantitatively and qualitatively, demonstrates its ability to replicate similar bone fractures, entrance wound shapes, and backward skin ballooning observed in physical experiments of the human cranial geometry. The model also yields similar temporary cavity sizes, wound sizes, and blood backspatter time against the physical cranial model, aiding in bloodstain pattern analysis. Additionally, the numerical model enables exploration of ballistic factors that vary in each crime scene environment and influence cranial injuries, such as projectile type, velocity, impact location, and impact angle. These established injury patterns contribute to crime scene reconstruction by providing essential information on projectile trajectory, discharge distance, and firearm type, assisting in the resolution of court cases. In conclusion, the developed human cranial geometry in this study offers a reliable tool for investigating firearm-related cranial injuries, serving as a statistical reference in forensic science. Virtual crime scene investigations using these models have the potential to enhance the accuracy and efficiency of forensic analyses.

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通过平滑粒子流体力学数值建模了解弹道颅脑损伤的撞击后生物力学原理
使用数字模型进行虚拟犯罪现场调查有可能有助于与枪支有关的死亡事故的法医调查,因为在这种情况下,伦理问题和昂贵的资源限制了物理实验的范围,无法全面理解撞击后的生物力学。本研究中开发的人体颅骨数值模型包含三个具有动态生物材料特性的主要组成部分(皮肤、颅骨和大脑)。该虚拟模型为颅骨弹道损伤的撞击后生物力学提供了宝贵的见解,尤其是在超出传统研究能力的高速事件中,包括喷射血液反向散射的速度、空化塌陷和压力波。对数值模型的定量和定性验证表明,该模型能够复制类似的骨折、入口伤口形状以及在人体颅骨几何物理实验中观察到的后向皮肤气球。该模型还产生了与物理颅骨模型相似的临时空腔大小、伤口大小和血液反向散射时间,有助于血迹模式分析。此外,该数值模型还能探索在每个犯罪现场环境中变化并影响颅脑损伤的弹道因素,如射弹类型、速度、撞击位置和撞击角度。这些已建立的损伤模式有助于犯罪现场重建,提供了有关弹丸轨迹、发射距离和枪支类型的重要信息,有助于法庭案件的解决。总之,本研究中开发的人体颅骨几何模型为调查与枪支有关的颅骨损伤提供了可靠的工具,可作为法医学的统计参考。利用这些模型进行虚拟犯罪现场调查有可能提高法医分析的准确性和效率。
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来源期刊
Computational Particle Mechanics
Computational Particle Mechanics Mathematics-Computational Mathematics
CiteScore
5.70
自引率
9.10%
发文量
75
期刊介绍: GENERAL OBJECTIVES: Computational Particle Mechanics (CPM) is a quarterly journal with the goal of publishing full-length original articles addressing the modeling and simulation of systems involving particles and particle methods. The goal is to enhance communication among researchers in the applied sciences who use "particles'''' in one form or another in their research. SPECIFIC OBJECTIVES: Particle-based materials and numerical methods have become wide-spread in the natural and applied sciences, engineering, biology. The term "particle methods/mechanics'''' has now come to imply several different things to researchers in the 21st century, including: (a) Particles as a physical unit in granular media, particulate flows, plasmas, swarms, etc., (b) Particles representing material phases in continua at the meso-, micro-and nano-scale and (c) Particles as a discretization unit in continua and discontinua in numerical methods such as Discrete Element Methods (DEM), Particle Finite Element Methods (PFEM), Molecular Dynamics (MD), and Smoothed Particle Hydrodynamics (SPH), to name a few.
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