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Prediction of pedestrian brain injury due to vehicle impact using computational biomechanics models: Are head-only models sufficient?

机译:使用计算生物力学模型的车辆冲击导致行人脑损伤的预测:只有足够的车辆模型?

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Objectives: Accident reconstruction using computational biomechanics models plays an important role in research and prevention of human brain injury caused by car-to-pedestrian impacts. Finite element (FE) "head-only" models (that represent only the pedestrian head and brain) used in such reconstruction do not account for the influence of the rest of the pedestrian body on the head kinematics due to the accident and, consequently, on the brain injury risk prediction. Application of full-scale FE pedestrian models, on the other hand, is limited by their high computational cost and, more importantly, by the time-consuming preprocessing when repositioning the model to represent the pedestrian posture and location in relation to the impacting car. The objective of this study is to propose a computational biomechanics modeling approach to overcome these challenges. Methods: First, we couple a validated commercial FE head-neck complex model and a multibody (MB) pedestrian model. This coupled FE-MB model is evaluated through application in reconstruction of a real-world car-to-pedestrian impact accident and comparison of the pedestrian kinematics predicted using this model with the results obtained from the established full-scale MB pedestrian model. Finally, we compare the results obtained using the coupled FE-MB model proposed in this study and FE head-only model in terms of both the head kinematics and brain injury risk predicted using the two models. Results: The results of analysis of head injury criterion (HIC15) and brain deformation-based injury criteria (instantaneous value of cumulative strain damage measure iCSDM and maximum shear strain of the brain tissue) indicate substantial differences in the head kinematics and brain injury risk predicted using the two models. The coupled FE-MB model predicts a high risk of the brain injury which is consistent with the database record of the analyzed accident, in particular for the impact between the pedestrian head and road surface. In contrast, the head-only model did not predict that such impact can occur. The FE head head-only model with rigid skull and prescribed acceleration-time history of the head center of gravity determined from accident reconstruction using the purely MB pedestrian model, predicted appreciably lower iCSDM than the coupled FE-MB model that accounts for skull deformations using the linear elastic-plastic material model. Conclusions: This study suggests that the FE head-only models may be deficient for car-to-pedestrian impact accident reconstruction and estimation of risk of the pedestrian brain injury. In particular, this applies to the models that simplify the pedestrian skull as a rigid body.
机译:目的:使用计算生物力学模型的事故重建在研究和预防由汽车到行人的影响引起的人类脑损伤中起着重要作用。有限元(FE)“只有在这种重建中使用的人数”的型号(仅代表行人头部和大脑)不会因事故而导致行人身体其余的行人身体的影响,因此论脑损伤风险预测。另一方面,在重新定位模型时耗时的预处理来耗时的预处理,在重新定位模型时耗时的预处理,应用全尺寸Fe行人模型的应用是受到高计算成本的限制。本研究的目的是提出一种计算生物力学建模方法来克服这些挑战。方法:首先,耦合经过验证的商业Fe头颈复杂模型和多体(MB)行人模型。该耦合FE-MB模型通过应用于重建现实世界的汽车到行人影响事故和使用该模型预测的行人运动学的比较来进行评估,并使用该模型从已建立的全规模MB行人模型获得的结果。最后,我们比较了使用本研究中提出的耦合FE-MB模型获得的结果,并且在使用这两种模型预测的头部运动学和脑损伤风险方面的FE HOSP-ock。结果:头部损伤标准(HIC15)分析结果和基于脑变形的损伤标准(累积应变损伤测量ICSDM的瞬时值和脑组织的最大剪切菌株)表明预测头部运动学和脑损伤风险的显着差异使用这两个模型。耦合Fe-MB模型预测脑损伤的高风险,这与分析的事故的数据库记录一致,特别是对于行人头和路面之间的影响。相比之下,只有目代模型没有预测可能发生这种影响。使用纯粹的MB行人模型,从事故重建决定的FE头戴率与刚性头骨和规定的加速时间历史,从事MB行人模型预测,比使用耦合FE-MB模型的ICSDM,从而降低ICSDM线性弹性塑料材料模型。结论:本研究表明,仅限FE部队模型可能缺乏车辆行人的影响事故重建和行人脑损伤风险的估算。特别是,这适用于简化行人头骨作为刚体的模型。

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