Head injury assessment of non-lethal projectile impacts: A combined experimental/computational method

Sahoo, Debasis; Robbe, Cyril; Deck, Caroline; Meyer, Frank; Papy, Alexandre; Willinger, Rémy

doi:10.1016/j.injury.2016.09.004

Cited by 15 publications

(18 citation statements)

References 26 publications

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“…This increase is due to the high ultimate compressive stress value assumed for compact bone. However, for this same tissue the σ ut is lower than that employed by Raul et al [220] and Sahoo et al [148] and therefore the allowable deformation between damage initiation and collapse is reduced and the skull response appears to be excessively brittle.…”

Section: Compact Bonementioning

confidence: 65%

“…The two remaining approaches, whose limit values (strengths) are very close, lead to similar force-deflection responses, being the criteria from Sahoo et al [148] the one providing the best aproximation in terms of peak force. The skull's response is slightly more ductile than the experimental with the threshold values by Raul et al [220] while being 5.4.…”

Section: Compact Bonementioning

confidence: 93%

“…Both cases have been implemented in this study. The failure criteria employed by Raul et al [220] and Sahoo et al [148] consider different ultimate stresses for compact and trabecular bone, and also for either tensile or compressive loading. Silver [221], on the other hand, assumed homogeneity at the skull level but distinguished between tensile and compressive strengths.…”

Section: Cranial Bonementioning

confidence: 99%

“…The skull's response is slightly more ductile than the experimental with the threshold values by Raul et al [220] while being 5.4. Calibration of the model 127 slightly more fragile with the ones by Sahoo et al [148]. In order to be conservative, the criteria proposed in the latter work will be employed from now on to characterise the fracture behaviour of the skull bones for the material properties sets MP1 to MP4.…”

Section: Compact Bonementioning

confidence: 99%

“…Crack initiation The internal energy of the skull has previously been considered a suitable parameter to predict fracture, for instance in the work of Sahoo et al (2016) [148]. As it can be seen in Fig.…”

Section: Assessment Of Head Traumamentioning

confidence: 99%

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Assessment of head injury risk caused by impact using finite element models

Toledano¹

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Impact loading is the primary source of head injuries and can result in a range of trauma from mild to severe. Because of the multiple environments in which impact-related injuries can take place (automotive accidents, sports, accidental falls, violence), they can potentially affect the entire population regardless of their health conditions. Despite the increasing research effort on the understanding of head impact biomechanics, accurate prediction and prevention of traumatic injuries has not been completely achieved.

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Section: Compact Bonementioning

confidence: 65%

Section: Compact Bonementioning

confidence: 93%

Section: Cranial Bonementioning

confidence: 99%

Section: Compact Bonementioning

confidence: 99%

Section: Assessment Of Head Traumamentioning

confidence: 99%

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Assessment of head injury risk caused by impact using finite element models

Toledano¹

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Experimental characterisation of porcine subcutaneous adipose tissue under blunt impact up to irreversible deformation

et al. 2021

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A deeper understanding of the mechanical characteristics of adipose tissue under large deformation is important for the analysis of blunt force trauma, as adipose tissue alters the stresses and strains that are transferred to subjacent tissues. Hence, results from drop tower tests of subcutaneous adipose tissue are presented (i) to characterise adipose tissue behaviour up to irreversible deformation, (ii) to relate this to the microstructural configuration, (iii) to quantify this deformation and (iv) to provide an analytical basis for computational modelling of adipose tissue under blunt impact. The drop tower experiments are performed exemplarily on porcine subcutaneous adipose tissue specimens for three different impact velocities and two impactor geometries. An approach based on photogrammetry is used to derive 3D representations of the deformation patterns directly after the impact. Median values for maximum impactor acceleration for tests with a flat cylindrical impactor geometry at impact velocities of 886 mm/s, 1253 mm/s and 2426 mm/s amount to 61.1 g, 121.6 g and 264.2 g, respectively, whereas thickness reduction of the specimens after impact amount to 16.7%, 30.5% and 39.3%, respectively. The according values for tests with a spherically shaped impactor at an impact velocity of 1253 mm/s are 184.2 g and 78.7%. Based on these results, it is hypothesised that, in the initial phase of a blunt impact, adipose tissue behaviour is mainly governed by the behaviour of the lipid inside the adipocytes, whereas for further loading, contribution of the extracellular collagen fibre network becomes more dominant.

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Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports

Ghajari

Mao

et al. 2022

Ann Biomed Eng

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Head acceleration measurement sensors are now widely deployed in the field to monitor head kinematic exposure in contact sports. The wealth of impact kinematics data provides valuable, yet challenging, opportunities to study the biomechanical basis of mild traumatic brain injury (mTBI) and subconcussive kinematic exposure. Head impact kinematics are translated into brain mechanical responses through physics-based computational simulations using validated brain models to study the mechanisms of injury. First, this article reviews representative legacy and contemporary brain biomechanical models primarily used for blunt impact simulation. Then, it summarizes perspectives regarding the development and validation of these models, and discusses how simulation results can be interpreted to facilitate injury risk assessment and head acceleration exposure monitoring in the context of contact sports. Recommendations and consensus statements are presented on the use of validated brain models in conjunction with kinematic sensor data to understand the biomechanics of mTBI and subconcussion. Mainly, there is general consensus that validated brain models have strong potential to improve injury prediction and interpretation of subconcussive kinematic exposure over global head kinematics alone. Nevertheless, a major roadblock to this capability is the lack of sufficient data encompassing different sports, sex, age and other factors. The authors recommend further integration of sensor data and simulations with modern data science techniques to generate large datasets of exposures and predicted brain responses along with associated clinical findings. These efforts are anticipated to help better understand the biomechanical basis of mTBI and improve the effectiveness in monitoring kinematic exposure in contact sports for risk and injury mitigation purposes.

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Head injury assessment of non-lethal projectile impacts: A combined experimental/computational method

Cited by 15 publications

References 26 publications

Assessment of head injury risk caused by impact using finite element models

Assessment of head injury risk caused by impact using finite element models

Experimental characterisation of porcine subcutaneous adipose tissue under blunt impact up to irreversible deformation

Use of Brain Biomechanical Models for Monitoring Impact Exposure in Contact Sports

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