Improved Prediction of Hybrid-III Injury Values Using Advanced Multibody Techniques and Objective Rating

Hovenga, P. E.; Spit, H. H.; Uijldert, M.; Dalenoort, A. M.

doi:10.4271/2005-01-1307

Cited by 16 publications

(4 citation statements)

References 1 publication

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“…In this study, the similarities evaluation between sets of experimental and numerical curves for both tested models was made by employing three different statistical metrics, namely Pearson correlation coefficient, Strague-Geers MPC metrics ( Ray, Anghileri & Mongiardini, 2008 ), and weighted integrated factor (WIFac) ( Hovenga et al, 2005 ). Pearson correlation is one of the most widely used metrics in curve analysis and measures the degree of linear correlation between two sets of data.…”

Section: Methodsmentioning

confidence: 99%

Development and validation of lumbar spine finite element model

Wiczenbach

Pachocki

Daszkiewicz

et al. 2023

PeerJ

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The functional biomechanics of the lumbar spine have been better understood by finite element method (FEM) simulations. However, there are still areas where the behavior of soft tissues can be better modeled or described in a different way. The purpose of this research is to develop and validate a lumbar spine section intended for biomechanical research. A FE model of the 50th percentile adult male (AM) Total Human Model for Safety (THUMS) v6.1 was used to implement the modifications. The main modifications were to apply orthotropic material properties and nonlinear stress-strain behavior for ligaments, hyperelastic material properties for annulus fibrosus and nucleus pulposus, and the specific content of collagenous fibers in the annulus fibrosus ground substance. Additionally, a separation of the nucleus pulposus from surrounding bones and tissues was implemented. The FE model was subjected to different loading modes, in which intervertebral rotations and disc pressures were calculated. Loading modes contained different forces and moments acting on the lumbar section: axial forces (compression and tension), shear forces, pure moments, and combined loading modes of axial forces and pure moments. The obtained ranges of motion from the modified numerical model agreed with experimental data for all loading modes. Moreover, intradiscal pressure validation for the modified model presented a good agreement with the data available from the literature. This study demonstrated the modifications of the THUMS v6.1 model and validated the obtained numerical results with existing literature in the sub-injurious range. By applying the proposed changes, it is possible to better model the behavior of the human lumbar section under various loads and moments.

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Section: Methodsmentioning

confidence: 99%

Development and validation of lumbar spine finite element model

Wiczenbach

Pachocki

Daszkiewicz

et al. 2023

PeerJ

View full text Add to dashboard Cite

show abstract

“…The ORM coefficients for magnitude, phase, and shape for the IIHS and USNCAP load cases are shown in Table VI. The majority of all coefficients were above the good rating limit of 0.65 (Hovenga et al 2005). A few were below the limit: the phase of the global velocity in point III, the shape of the intrusion in point III, the magnitude and shape of the intrusion in point IV, and all of the coefficients of the intrusion in point I.…”

Section: Model Validitymentioning

confidence: 97%

“…The coefficients take on values between 0 and 1, where 0 means no similarity and 1 means perfect similarity. Coefficient values over 0.65 are the outcome of comparable high repeatability hardware tests (Hovenga et al 2005), and the same limit was applied in this study.…”

Section: Model Validitymentioning

confidence: 99%

“…This vehicle model included a seat belt without a pretensioner, a head air bag (curtain type, mounted at the roof rail), and a thorax-pelvis air bag (mounted in the seat bolster). The similarities of the tests and the simulations were quantified with the objective rating method (ORM) coefficients (Hovenga et al 2005). The coefficients take on values between 0 and 1, where 0 means no similarity and 1 means perfect similarity.…”

Section: Model Validitymentioning

confidence: 99%

See 1 more Smart Citation

Parameter Study for Child Injury Mitigation in Near-Side Impacts Through FE Simulations

Andersson¹,

Pipkorn²,

Lövsund³

2012

Traffic Injury Prevention

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The head and thorax-pelvis air bags have the potential to reduce injury measurements for both the SID-IIs and the HBM3, provided that the air bag properties are designed to consider these occupant sizes also. The seat belt pretensioner is also effective, provided that the lateral translation of the torso is managed by other features. The importance of lateral movement management is greater the smaller the occupant is. Light vehicles require interior restraint systems of higher performance than heavy vehicles do to achieve the same level of injury measures for a given side structure.

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Child Safety in Vehicles: Validation of a Mathematical Model and Development of Restraint System Design Guidelines for 3-Year-Olds through Mathematical Simulations

Johansson

Pipkorn

Lövsund

2009

Traffic Injury Prevention

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In order to decrease the Q3 ATD head, chest, and pelvis accelerations and to limit the Q3 ATD head displacement, the following practices are recommended: first, position the D-ring rearward of the ATD so that the belt encloses the ATD's shoulder; second, position the lap belt anchors to make the lap belt angle 24 degrees to the horizontal, but make sure submarining is not induced; and finally, use a safety belt with pretensioner and load limiter functions. However, these recommendations need to be balanced with the recommendations for other occupant sizes, and any specific settings have to be evaluated further before introduction into vehicles.

show abstract

Improved Prediction of Hybrid-III Injury Values Using Advanced Multibody Techniques and Objective Rating

Cited by 16 publications

References 1 publication

Development and validation of lumbar spine finite element model

Development and validation of lumbar spine finite element model

Parameter Study for Child Injury Mitigation in Near-Side Impacts Through FE Simulations

Child Safety in Vehicles: Validation of a Mathematical Model and Development of Restraint System Design Guidelines for 3-Year-Olds through Mathematical Simulations

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