儿童头部有限元模型的构建及验证

目的通过构建3岁儿童头部有限元模型,研究儿童在交通事故以及跌落冲击过程中的颅脑响应。方法基于3岁儿童的头部CT扫描数据,采用计算机图像处理、逆向工程及有限元网格划分技术构建具有详细解剖学结构的儿童头部有限元模型,利用该模型重构儿童尸体实验,并与尸体实验数据进行对比。结果头部静态压缩仿真中的3岁儿童头部接触力随压缩位移的增加而增大,头部接触力-位移曲线同尸体实验呈现出同样的变化趋势。在头部跌落仿真中,跌落高度为30 cm、碰撞位置为前额、左顶骨、枕部、右顶骨以及顶部时的冲击加速度峰值分别为72.7、61.3、72.7、60.4和68.1 g,其加速度随时间的变化曲线同尸体实验相一致。结论所构建的3岁儿童头部有限元模型有效且具有较高的生物仿真度,后续研究可利用该模型分析碰撞条件下儿童颅脑组织的应力应变情况,为临床上通过脑CT影像无法确诊的脑震荡等脑损伤的伤情判断提供参考。     

建立人体头颈动力学有限元模型和验证

目的建立符合解剖结构的头颈三维动力学有限元模型,研究冲击力作用下头颈部动力学响应。方法采用中国成年男性志愿者颈部CT扫描图像,获取颈椎三维点云数据,通过有限元前处理软件ICEM-CFD和Hyper Mesh建立颈部有限元模型。模型包括椎骨、椎间盘、小关节、韧带和软骨等组织,结合已建立并验证的头部有限元模型,装配成具有详细解剖结构的人体头颈部有限元模型。结果模型参考公开发表的头颈部轴向冲击实验数据进行验证,其颈部变形、头部加速度、接触力曲线以及损伤部位与实验数据吻合较好。结论动力学三维有限元模型可用于汽车安全、运动学损伤等领域人体头颈部的动态响应和损伤机制研究。     

基于汽车碰撞损伤的人体胸部有限元模型构建与验证

目的利用胸部有限元模型预测与评估碰撞载荷下胸部生物力响应与损伤机理。方法利用CT和MRI图像数据对胸部骨骼与内部软组织进行几何重建,并划分网格。模型的生物组织材料参数与材料本构模型基于文献尸体实验与组织材料实验。结果对模型进行前碰撞与侧碰撞仿真实验验证,结果表明胸部接触力、胸部位移量、力与位移曲线与尸体实验吻合较好,并利用胸部位移量、黏性准则对仿真过程进行损伤评估。结论模型可满足汽车碰撞安全中胸部损伤机理与防护及医学胸部钝器损伤的仿真研究需要。     

人头部力锤冲击试验的生物力学研究

目的：探讨人头部受主动冲击的钝力作用时的力响应特点,同时测试头部各部位承受最大冲击力的限度,从冲击动力学角度去探讨颅脑损伤的生物力学机理。方法：使用配备大量程力传感器的力锤对人尸体头部各部位进行冲击试验,记录接触力响应曲线,并手工记录锤头的质地、质量、初速度、冲击面大小,以及被冲击的头部是否有破坏性反应(头皮挫裂及颅骨骨折)。结果：人头部对主动冲击的钝物的接触力响应曲线为类似正弦波的脉冲波形,其波形宽度及峰值因冲击物的质地、有无头皮等发生变化;人头部在小面积钝物的冲击作用下,造成头皮挫裂的冲击力最大值平均为5100N;使颞部、顶部、额部、枕部骨折的冲击力最大值的平均值分别为6200、8100、8300、11000N;利用试验得到的数据,验证了作用于头部的钝物与头部组成的系统相当于带有强阻尼的弹簧振子。结论：头部在受到主动冲击时,典型的接触力一时间曲线为类似正弦波的脉冲波形;大面积的钝器作用于头部造成的颅骨骨折,更多发生延伸至远处的线形骨折;本试验还得出了人头部能耐受的冲击力大小等参数,这些对于建立有限元模型进行分析和验证是必须的。     

不同载荷作用下头部生物力学响应仿真分析

目的建立符合解剖结构的人颅骨三维有限元模型,研究多种载荷作用下头部生物力学响应。方法通过建立具有解剖结构的高精度头部有限元模型,颅骨采用能模拟骨折的弹塑性材料本构模型,结合已发表的正面冲击颅内压实验、动态颅骨骨折实验、头部跌落实验结果,仿真再现实验过程中头部受冲击载荷作用下的生物力学响应、颅骨骨折及头部不同速度下的跌落响应。结果前碰撞表现出冲击与对冲侧正-负颅内压分布,相近载荷下枕骨变形比前额、顶骨严重,跌落中速度越快损伤越大。结论建立精确解剖结构的头部有限元模型可以较好模拟头部在冲击、跌落等载荷下的生物力学响应。通过量化接触力、颅内压力等参数来评价头部损伤风险,为防护系统的设计提供科学依据。     

6岁儿童头部有限元模型的构建与验证

借助6岁儿童医用头部CT扫描图片,通过图像分析处理,提取几何参数,重构生成三维几何模型。对几何模型进行有限元前处理,构建了一个6岁儿童头部有限元模型。模型中包含颅骨、骨缝、脑脊液、大脑、小脑、脑干、脑室等各个器官,共有44 886个节点,11 675个壳单元,37 482个六面体单元。.各器官材料属性采用来自参考文献的数据。仿真分析计算中,力加载时窗为11 ms时,模型的CPU计算时长低于1 h。采用Nahum尸体实验数据与仿真结果进行对比。仿真分析结果显示:成人头部撞击时撞击压与对撞压的形成规律同样适用于儿童头部碰撞。在7 900 N力作用下,尸体头部撞击侧最大压应力为140 kPa,对撞侧最大压应力为-60 kPa,而儿童头部的值分别为220.2 kPa和-135.2 kPa;在HIC值均为775的作用下,成人头部撞击侧和对撞侧最大压应力分别为140 kPa和-60 kPa,而儿童头部的值分别为160 kPa和-89 kPa。这表明,在相同作用力或HIC值下与成人相比,儿童头部更容易受到损伤。     

6岁儿童行人-汽车碰撞中碰撞角度对头部损伤的影响

目的应用符合欧洲新车安全评鉴协会(the European New Car Assessment Programme,Euro NCAP)要求的6岁儿童行人有限元模型,探究不同碰撞角度对儿童头部损伤的影响。方法应用符合Euro NCAP技术公告(TB024)并且具有详细解剖学结构的6岁儿童行人有限元模型,设置4组行人-汽车碰撞仿真试验,探究不同碰撞角度下儿童头部损伤情况。人体头部质心初始位置在车的纵向中心线上,轿车初速度为40 km/h,轿车分别与人体右侧、前侧、左侧、后侧碰撞(即0°、90°、180°、270°)。比较不同碰撞角度下运动学差异和头部碰撞响应,同时分析面骨和颅骨的损伤情况。结果通过分析儿童行人头部接触力、头部质心合加速度、头部质心相对于车的合速度、头部损伤标准(head injury criterion,HIC_(15))、面骨骨折情况以及颅骨应力分布发现,背面、正面碰撞下儿童头部骨折及发生脑组织损伤的风险大于侧面碰撞,其中背面碰撞下儿童行人头部损伤风险最高,侧面碰撞下儿童行人头部损伤风险最低。结论背面碰撞下儿童行人头部损伤风险最大,研究结果对行人-汽车碰撞评估和防护装置研发具有重要的应用价值。     

具有详细解剖学结构的1岁学步儿童头部有限元模型构建及验证

目的构建详细的1岁学步儿童头部有限元模型,探究其颅脑损伤机制,完善人体有限元生物力学模型数据库。方法基于我国1岁儿童真实详细的头部CT数据,借助医学软件Mimics获得头部几何结构数据,利用逆向工程软件划分NURBS曲面片和构建工程模型,利用有限元前处理软件划分网格,参照解剖学和尸体实验等数据,验证1岁学步儿童头部有限元模型的有效性并初步分析其损伤机制。结果构建了中国男性1岁儿童头部有限元模型,模型包括并区分了大脑及小脑的灰质和白质、海马体、囟门、矢状骨缝、冠状骨缝、脑干、脑室等,几何尺寸符合解剖学统计数据。利用头部模型重构了儿童头部静态压缩尸体实验和跌落尸体实验,结果表明,该头部模型与尸体实验表现了相近的力学特征,验证了模型的有效性。计算表明不同压缩速率下颅骨刚度不同,会导致不同损伤结果。结论所构建的包含详细解剖学结构的1岁儿童头部有限元模型具有较高的生物仿真度,借助构建的模型可分析深部脑组织各部位的详细损伤情况,特别是闭合性颅脑损伤,为相关研究及临床应用提供有效的工具和手段。     

枪弹冲击下新型防弹头盔质量对颈椎损伤影响

目的建立有效的头颈部及防弹头盔有限元模型,研究枪弹冲击不同质量防弹头盔时颈部的生物力学响应。方法通过在头盔本体(1.24 kg)增加附件均布质量2 kg,并加载手枪弹以450 m/s速度从正面、侧面、顶部冲击防弹头盔,获得人体颈椎的力学响应。结果受到冲击时,颈椎应力远大于颅骨应力。枪弹冲击防弹头盔时,相比头部,颈椎为易受伤部位,其中椎骨C3所受应力最大。不考虑增加附件质量时,子弹从正面、侧面、顶部方向冲击头盔时,侧面冲击对颈椎伤害最大,相比其他方向冲击最大应力约增加2.58%;同时正面冲击对头部损伤最大,应力约增加59.4%。考虑附件质量时,头盔质量越大对颈椎的损伤越严重。头盔质量从1.24 kg增加到3.24 kg,顶部冲击对颈椎的损伤最大,其应力相比其他方向冲击增加12.98%。结论在设计防弹头盔时应考虑其轻量化,研究结果为防弹头盔设计提供科学参考。     

颅脑组织材料参数对儿童头部冲击响应的影响

目的针对目前对儿童颅脑组织材料参数的不确定性,研究直接冲击载荷条件下颅脑组织材料参数对儿童头部冲击响应的影响。方法应用已验证的3岁儿童头部有限元模型进行冲击仿真实验,采用正交实验设计和方差分析对儿童颅脑组织材料进行参数分析。结果颅骨弹性模量对儿童头部冲击响应具有显著性影响,随着颅骨弹性模量的增加,头部撞击侧颅内压力显著减小(P=0.000),对撞侧颅内压力显著增大(P=0.000),颅骨最大Von Mises应力显著增大(P=0.000)。脑组织的线性黏弹性材料参数对儿童头部冲击响应同样具有显著性影响,随着脑组织短效剪切模量的增加,脑组织最大主应变显著减小(P=0.000),脑组织最大剪应力则显著增加(P=0.000)。结论参数分析结果可为今后儿童头部有限元模型的材料选取提供参考依据,进而提升模型在预测临床上无法通过脑CT影像确诊的脑震荡等脑损伤时的准确性。     

10岁儿童头部有限元模型的建立及验证

运用ANSYS ICEM CFD以及HYPERMESH软件对10岁儿童头部几何模型进行合理的网格划分,获得具有高度解剖学细节的10岁儿童头部有限元模型。利用MADYMO软件自带的假人,模拟一起典型跌落事故中,受伤儿童从3个不同高度跌落时人体的动力学响应过程,并计算头部与地面碰撞接触瞬间的方位和速度等运动学参数。然后将这些参数输入到10岁儿童头部有限元模型中,模拟头部与地面的碰撞过程,并分析与损伤相关的生物力学参数。结果表明,颅骨的最大应力和最大应变分布在枕骨右侧,与碰撞点的位置较为吻合,但均未超过颅骨的耐受极限。利用颅内压力可较好地预测脑组织的损伤程度,而利用脑组织的von mises应力可较好地判断脑组织的损伤位置。事故重建的结果表明,该模型具有较好的生物逼真度,可以用于儿童头部损伤生物力学的研究。     

具有详实解剖学结构的国人第5百分位女性胸腹部有限元模型开发及验证

目的 预测与评估汽车碰撞中小身材女性胸腹部的生物力学响应及损伤机制.方法 基于国人第5百分位女性志愿者CT图像,提取精确的胸腹部几何轮廓,借助相关软件构建具有详实解剖学结构的国人第5百分位女性胸腹部有限元模型,并重构3组胸腹部尸体实验,即胸部正面撞锤冲击实验、腹部正面棒击实验和胸腹部侧面撞锤冲击实验,对模型进行有效性验...     

Finite-element models of the human head

A review is presented of the existing finite-element (FE) models for the biomechanics of human head injury. Finite element analysis can be an important tool in describing the injury biomechanics of the human head. Complex geometric and material properties pose challenges to FE modelling. Various assumptions and simplifications are made in model development that require experimental validation. More recent models incorporate anatomic details with higher precision. The cervical vertebral column and spinal cord are included. Model results have been more qualitative than quantitative owing to the lack of adequate experimental validation. Advances include transient stress distribution in the brain tissue, frequency responses, effects of boundary conditions, pressure release mechanism of the foramen magnum and the spinal cord, verification of rotation and cavitation theories of brain injury, and protective effects of helmets. These theoretical results provide a basic understanding of the internal biomechanical responses of the head under various dynamic loading conditions. Basic experimental research is still needed to determine more accurate material properties and injury tolerance criteria, so that FE models can fully exercise their analytical and predictive power for the study and prevention of human head injury.     

Parametric Comparisons of Intracranial Mechanical Responses from Three Validated Finite Element Models of the Human Head

A number of human head finite element (FE) models have been developed from different research groups over the years to study the mechanisms of traumatic brain injury. These models can vary substantially in model features and parameters, making it important to evaluate whether simulation results from one model are readily comparable with another, and whether response-based injury thresholds established from a specific model can be generalized when a different model is employed. The purpose of this study is to parametrically compare regional brain mechanical responses from three validated head FE models to test the hypothesis that regional brain responses are dependent on the specific head model employed as well as the region of interest (ROI). The Dartmouth Scaled and Normalized Model (DSNM), the Simulated Injury Monitor (SIMon), and the Wayne State University Head Injury Model (WSUHIM) were selected for comparisons. For model input, 144 unique kinematic conditions were created to represent the range of head impacts sustained by male collegiate hockey players during play. These impacts encompass the 50th, 95th, and 99th percentile peak linear and rotational accelerations at 16 impact locations around the head. Five mechanical variables (strain, strain rate, strain × strain rate, stress, and pressure) in seven ROIs reported from the FE models were compared using Generalized Estimating Equation statistical models. Highly significant differences existed among FE models for nearly all output variables and ROIs. The WSUHIM produced substantially higher peak values for almost all output variables regardless of the ROI compared to the DSNM and SIMon models (p < 0.05). DSNM also produced significantly different stress and pressure compared with SIMon for all ROIs (p < 0.05), but such differences were not consistent across ROIs for other variables. Regardless of FE model, most output variables were highly correlated with linear and rotational peak accelerations. The significant disparities in regional brain responses across head models regardless of the output variables strongly suggest that model-predicted brain responses from one study should not be extended to other studies in which a different model is utilized. Consequently, response-based injury tolerance thresholds from a specific model should not be generalized to other studies either in which a different model is used. However, the similar relationships between regional responses and the linear/rotational peak accelerations suggest that each FE model can be used independently to assess regional brain responses to impact simulations in order to perform statistical correlations with medical images and/or well-selected experiments with documented injury findings.     

人体膝关节有限元动力学分析模型的建立与验证

根据乘员碰撞事故中人体膝关节的生物力学响应特性,应用有限元(FE)方法和碰撞模拟技术,构建了一个人体膝关节模型。模型按人体解剖学结构构建,由股骨内、外侧髁,胫骨内、外侧髁,腓骨小头、髌骨、软骨、半月板以及主要韧带构成。通过比较模型仿真和尸体碰撞实验在轴向载荷条件下膝关节受刚性碰撞的响应结果,验证了模型的有效性。该模型为研究人体膝关节损伤机理提供了可靠的基础数据,并可应用于乘员损伤防护装置的设计和开发。     

Development,Validation, and Application of a Parametric Pediatric Head Finite Element Model for Impact Simulations

In this study, a statistical model of cranium geometry for 0- to 3-month-old children was developed by analyzing 11 CT scans using a combination of principal component analysis and multivariate regression analysis. Radial basis function was used to morph the geometry of a baseline child head finite element (FE) model into models with geometries representing a newborn, a 1.5-month-old, and a 3-month-old infant head. These three FE models were used in a parametric study of near-vertex impact conditions to quantify the sensitivity of different material parameters. Finally, model validation was conducted against peak head accelerations in cadaver tests under different impact conditions, and optimization techniques were used to determine the material properties. The results showed that the statistical model of cranium geometry produced realistic cranium size and shape, suture size, and skull/suture thickness, for 0- to 3-month-old children. The three pediatric head models generated by morphing had mesh quality comparable to the baseline model. The elastic modulus of skull had a greater effect on most head impact response measurements than other parameters. Head geometry was a significant factor affecting the maximal principal stress of the skull (p = 0.002) and maximal principal strain of the suture (p = 0.021) after controlling for the skull material. Compared with the newborn head, the 3-month-old head model produced 6.5% higher peak head acceleration, 64.8% higher maximal principal stress, and 66.3% higher strain in the suture. However, in the skull, the 3-month-old model produced 25.7% lower maximal principal stress and 11.5% lower strain than the newborn head. Material properties of the brain had little effects on head acceleration and strain/stress within the skull and suture. Elastic moduli of the skull, suture, dura, and scalp determined using optimization techniques were within reported literature ranges and produced impact response that closely matched those measured in previous cadaver tests. The method developed in this study made it possible to investigate the age effects from geometry changes on pediatric head impact responses. The parametric study demonstrated that it is important to consider the material properties and geometric variations together when estimating pediatric head responses and predicting head injury risks.     

Human Brain Modeling with Its Anatomical Structure and Realistic Material Properties for Brain Injury Prediction

Impairments of executive brain function after traumatic brain injury (TBI) due to head impacts in traffic accidents need to be obviated. Finite element (FE) analyses with a human brain model facilitate understanding of the TBI mechanisms. However, conventional brain FE models do not suitably describe the anatomical structure in the deep brain, which is a critical region for executive brain function, and the material properties of brain parenchyma. In this study, for better TBI prediction, a novel brain FE model with anatomical structure in the deep brain was developed. The developed model comprises a constitutive model of brain parenchyma considering anisotropy and strain rate dependency. Validation was performed against postmortem human subject test data associated with brain deformation during head impact. Brain injury analyses were performed using head acceleration curves obtained from reconstruction analysis of rear-end collision with a human whole-body FE model. The difference in structure was found to affect the regions of strain concentration, while the difference in material model contributed to the peak strain value. The injury prediction result by the proposed model was consistent with the characteristics in the neuroimaging data of TBI patients due to traffic accidents.     

颅脑有限元模型演化规律及其生物力学研究进展

交通事故中头颈部损伤因其较高的致命性,已成为最严重的损伤类型。有限元模型在创伤性脑损伤生物力学机理研究中得到日益广泛应用。回顾头颈部有限元模型的生物力学研究历史和现状,并阐述车辆碰撞交通事故中人体颅脑典型交通伤演化规律和生物力学研究进展,探索头颈部损伤安全防护的方法,以期为车辆碰撞事故中人体颅脑损伤生物力学研究和相应的汽车安全防护装置研制提供理论依据。