The effect of precrash velocity reduction on occupant response using a human body finite element model

Guleyupoglu, Berkan; Schap, Jeremy M.; Kusano, Kristofer D.; Gayzik, F. Scott

doi:10.1080/15389588.2016.1269896

Cited by 14 publications

(2 citation statements)

References 29 publications

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“…General Motors Corp., FCA US LLC, Honda R&D Co., Hyundai Motor Co., et al) has spent 16 years only developing three adult human body FEMs, i.e. F05-O, M50-O, and M95-O [11,12]. Since 1990, Toyota also spent about 30 years to successfully develop only six human body FEMs with typical body types of 3YO, 6YO, 10YO, AF05, AM50, and AM95 [13].…”

Section: Introductionmentioning

confidence: 99%

A Fast Methodology for Generating Skeletal FEM with Detailed Human Geometric Features based on CPD and RBF Algorithms

Yuan

Jiang

Zhang³

et al. 2023

Preprint

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Due to the significant effects of the human anatomical characteristics on the injury mechanism of passenger in traffic accidents, it is necessary to develop human body FEM (Finite Element Model) with detailed anatomical characteristics. However, traditional development of a human body FEM is an extremely complicated process. In particular, the meshing of human body is a huge and time-consuming project. In this paper, a new fast methodology based on CPD (Coherent Point Drift) and RBF (Radial Basis Function) was proposed to achieve the rapid developing the FEM of human bone with detailed anatomical characteristics. In this methodology, the mesh morphing technology based the RBF was used to generate FEM mesh in the geometry extracted from the target CT (Computed Tomography) data. In order to further improve the accuracy and speed of mesh morphing, the target geometric feature points required in the mesh morphing process were realized via the rapid and automatic generation based on the point-cloud registration technology of the CPD algorithm. Finally, this new methodology was used to generate a 3-year-old ribcage FEM consisting of a total of 27728 elements with mesh size 3–5 mm based on the THUMS (Total Human Model for Safety) adult model. In the entire process of generating this new ribcage model, it only took about 2.7 seconds. The average error between the new FEM and target geometries was only about 2.7 mm. This indicated that the new FEM well described the detailed anatomical characteristics of target geometry, thus importantly revealing that the mesh quality of the new FEM was basically similar to that of source model.

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Section: Introductionmentioning

confidence: 99%

A Fast Methodology for Generating Skeletal FEM with Detailed Human Geometric Features based on CPD and RBF Algorithms

Yuan

Jiang

Zhang³

et al. 2023

Preprint

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“…This leads to a high risk of brain injury in patients with facial injury [2], there is a certain correlation between different facial impact injuries and the severity of craniocerebral injury. With the fleeting progress of computer technology, the finite element model has become an important tool to learn about the biomechanics of human injury [3,4]. Tuchtan et al [5] carried out a study on the energy level required for mandibular fracture caused by direct impact of the mandible and the energy dispersion to the skull and brain.…”

Section: Introductionmentioning

confidence: 99%

Construction of the Head Finite Element Model and Craniocerebral Injury in Facial Collision Accident

Wang

2019

mech

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This work aims at predicting and evaluating the biomechanical response of the facial impact on head injury in a crash accident. With the combination of CT/MRI medical imaging technique, the 50th percentile head biomechanical model with detailed cranio-facial structure is established. After which the validity of the model based on the classical experimental data from Nahum and Trosseille is verified. The model consists of 327,536 nodes and 1,337,903 units, and it has good biological fidelity. Based on the analysis of nine typical cases of facial traffic accidents, this work studies the propagation path of stress wave in the skull, then brain, von Mises stress and shear stress distribution are achieved. It is proved that facial structure can absorb a large amount of impact energy to protect the brain. The propagation path and distribution of stress wave in the skull and brain determine the mechanism of brain impact injury, which provides a theoretic basis for the diagnosis, treatment and protection of craniocerebral injury caused by facial impact.

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Development and preliminary validation of computationally efficient and detailed 50th percentile female human body models

Robinson

Kleeck

Gayzik

2023

Accident Analysis & Prevention

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The effect of precrash velocity reduction on occupant response using a human body finite element model

Cited by 14 publications

References 29 publications

A Fast Methodology for Generating Skeletal FEM with Detailed Human Geometric Features based on CPD and RBF Algorithms

A Fast Methodology for Generating Skeletal FEM with Detailed Human Geometric Features based on CPD and RBF Algorithms

Construction of the Head Finite Element Model and Craniocerebral Injury in Facial Collision Accident

Development and preliminary validation of computationally efficient and detailed 50th percentile female human body models

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