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

Li, Zhigang; Hu, Jingwen; Reed, Matthew P.; Rupp, Jonathan D.; Hoff, Carrie N.; Zhang, Jinhuan; Cheng, Bo

doi:10.1007/s10439-012-0682-5

Cited by 14 publications

(33 citation statements)

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“…Age effects on the skull material properties within 0-9 MO age group cannot be well established. Compared to other components of the pediatric head, skull material property was found to have much more significant effect on global and strain/stress responses than the brain material [23,24]. Test data on the material properties of pediatric brain are very scarce.…”

Section: Discussionmentioning

confidence: 91%

“…During the mesh morphing, head shape, size, and skull thickness were morphed according to model-predicted landmark locations and the skull thickness values at those locations for children with different ages and head circumferences. In this study, the material properties for different head components were assigned based on a previous study by Li et al [23][24][25] as listed in Table 1. The linear elastic model was used for the skull with a Young's modulus of 164.3 MPa.…”

Section: Methodsmentioning

confidence: 99%

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Prediction of skull fracture risk for children 0–9 months old through validated parametric finite element model and cadaver test reconstruction

Liu²,

Zhang

et al. 2015

Int J Legal Med

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Skull fracture is one of the most common pediatric traumas. However, injury assessment tools for predicting pediatric skull fracture risk is not well established mainly due to the lack of cadaver tests. Weber conducted 50 pediatric cadaver drop tests for forensic research on child abuse in the mid-1980s (Experimental studies of skull fractures in infants, Z Rechtsmed. 92: 87-94, 1984; Biomechanical fragility of the infant skull, Z Rechtsmed. 94: 93-101, 1985). To our knowledge, these studies contained the largest sample size among pediatric cadaver tests in the literature. However, the lack of injury measurements limited their direct application in investigating pediatric skull fracture risks. In this study, 50 pediatric cadaver tests from Weber's studies were reconstructed using a parametric pediatric head finite element (FE) model which were morphed into subjects with ages, head sizes/shapes, and skull thickness values that reported in the tests. The skull fracture risk curves for infants from 0 to 9 months old were developed based on the model-predicted head injury measures through logistic regression analysis. It was found that the model-predicted stress responses in the skull (maximal von Mises stress, maximal shear stress, and maximal first principal stress) were better predictors than global kinematic-based injury measures (peak head acceleration and head injury criterion (HIC)) in predicting pediatric skull fracture. This study demonstrated the feasibility of using age- and size/shape-appropriate head FE models to predict pediatric head injuries. Such models can account for the morphological variations among the subjects, which cannot be considered by a single FE human model.

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Section: Discussionmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 99%

Prediction of skull fracture risk for children 0–9 months old through validated parametric finite element model and cadaver test reconstruction

Liu²,

Zhang

et al. 2015

Int J Legal Med

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“…This model was also used to reproduce Weber's cadaver drop tests [15], [16] that focus on bone fracture. Li et al [17], [18] developed a parametric paediatric head FEM and morphed a baseline model to a newborn size, a 1.5MO, and a 3MO head model, in which only the newborn head FEM was validated against cadaver experiment. Weber [15], [16] dropped 50 children aged from 0 to 9MO onto 5 different impact surfaces under the drop height of 82cm, which provided important information for studying the skull fracture mechanism and injury criteria.…”

Section: Introductionmentioning

confidence: 99%

Development and Validation of Newborn Child Head Numerical Model Dummy for Impact Simulations

Nursherida¹,

Sahari²,

Aziz³

et al. 2016

IJEEE

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Computer simulation using Finite Element Model (FEM) are often used as a substitute for human experimental head injury studies, especially in predicting car accident injuries, enhance understanding of injury mechanism and develop prevention strategies. The use of FEM in crash test dummies is advantageous over physical dummies because of the lower cost and repeatability. Numerous adult FEM of the head have been developed, but there are relatively few paediatric FEM due to scarcity of material property data for children. Consequently, there are not enough models representing newborn child. Child head injury is a costly problem, both in terms of morbidity and direct medical costs. In fact, it is the leading cause of death and disability for children under the age 18-years-old. Despite its importance and effect on the population, the study of paediatric head injury is obstructed by the lack of available paediatric Post-Mortem Human Specimen (PMHS) data. As a substitute for PMHS testing, Anthropometric Test Devices (ATDs) and FEM have been developed to model the head. However, there is a scarcity of data for the design and validation of these models. This paper presents the development and validation of a newborn (NB) FEM for head dummy and simulated results compared with the child cadaver experimental data under drop test conditions. Itis intended for automotive crashworthiness assessment. The model was developed by using both deformable and rigid body materials. The newborn head anthropometric data were obtained from published journal articles. Using recent published material property data, the infant skull, skin and scalp FEM of the newborn ATD head was developed to study the response in head drop tests. The head assembly was validated by using three different head drop tests setups. The three impact locations are one frontal/forehead, and two lateral (right and left parietal) drop tests. All tests with drop height of 130 mm are the certification procedure. The benchmark model used in this study was a modified version of the 6-year-old numerical model developed by Livermore Software Technology Corporation and National Crash Analysis Center. A morphing method within LS-Prepost software was used. 

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“…Coats et al [12] developed a 1.5MO head FE model and conducted a parametric study to investigate the relative importance of brain material properties and the anatomical variations in suture and scalp on head responses under drop conditions. This model was also used to reproduce Weber's cadaver drop tests [13,14] that focus on bone fracture Liet al [15,16] developed a parametric pediatric head FE model and morphed a baseline model to a newborn, a 1.5MO, and a 3MO head model, in which only the newborn head FE model was validated against cadaver experiment. Weber [13,14] dropped 50 children aged from 0 to 9 month old onto 5 different impact surfaces under the drop height of 82 cm, which provided important information for studying the skull fracture mechanism and injury criteria.…”

Section: Introductionmentioning

confidence: 99%

“…The latest research about development and validation of the infant head finite element model was conducted by Zigang Li et al in 2013. From the research done by Zigang et.…”

Section: Introductionmentioning

confidence: 99%

On the Development and Validation of 12MO Numerical Child Head Dummy Model for Automotive Crashworthiness Assessment

2014

2nd International Conference on Innovations in Engineering and Technology (ICCET’2014) Sept. 19-20, 2014 Penang (Malaysia)

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Finite element analysis using finite element model (FEM) are often used as a substitute for human experimental head injury studies especially in predicting automotive collision analysis and to intensify our understanding of injury mechanism and develop prevention strategies. The use of FEM in crash test dummies is beneficial over physical dummies because of the lesser cost and repeatability. Various adult FEM of the head have been developed, but there are comparatively few paediatric FEM due to insufficiency of material property data for children. Therefore, there are not enough models representing twelve-month-old (12MO) child dummy models. Child head injury is a very costly problem, both in terms of morbility and direct medical costs. In fact, it is the leading cause of death and disability for children around the world under age 18-years-old. Given its importance and effect on the population, the study of pediatric head injury is greatly obstructed by the lack of available pediatric post mortem human specimen (PMHS) data. As a substitute for PMHS testing, anthropometric test devices (ATDs) and finite element models (FEMs) have been developed to model the head. However, there is a scarcity of data for the design and validation of these models. This paper presents the development and validation of a 12MO finite element dummy head model and simulated results compared with the child cadaver experimental data under drop condition tests. The model was developed by using both deformable and rigid body materials. The anthropometric data were collected from published literatures and journal articles that focused on 12MO head data. Using recent published material property data of infant skull, skin and scalp, a FE model of the 12MO ATD head was developed to study head responses in head drop tests. The head assembly was validated by using frontal/forehead set-up of head drop tests. The simulation of a frontal head drop test was done and compared with the experimental cadaver data. The test with drop height of 130 mm is the certification procedure. Keywords-12MO head dummy model, crashworthiness assessment, finite element analysis, head drop test. J.M. Nursherida is with the

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

Cited by 14 publications

References 0 publications

Prediction of skull fracture risk for children 0–9 months old through validated parametric finite element model and cadaver test reconstruction

Prediction of skull fracture risk for children 0–9 months old through validated parametric finite element model and cadaver test reconstruction

Development and Validation of Newborn Child Head Numerical Model Dummy for Impact Simulations

On the Development and Validation of 12MO Numerical Child Head Dummy Model for Automotive Crashworthiness Assessment

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