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The probability of traumatic brain injuries based on tissue-level reliability analysis

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Motor vehicle crashes are one of the leading causes of traumatic brain injuries. Restraint systems of cars are evaluated by crash tests based on human tolerance data, however, the reliability of data currently used has been questioned several times in the literature due to the neglect of certain types of effects, injury types and uncertainties. Our main goal was to re-evaluate the currently applied risk curve by taking the previously neglected effects into account. Methods: In this paper, the probability of traumatic brain injury was determined by reliability analysis where different types of uncertainties are taken into account. The tissue-level response of the human brain in the case of frontal crashes was calculated by finite element analyses and the injury probability is determined by Monte Carlo simulations. Sensitivity analysis was also performed to identify which effects have considerable contribution to the injury risk. Results: Our results indicate a significantly larger injury risk than it is predicted by current safety standards. Accordingly, a new risk curve was constructed which follows a lognormal distribution with the following parameters: μLN = 6.5445 and LN = 1.1993. Sensitivity analysis confirmed that this difference primarily can be attributed to the rotational effects and tissue-level uncertainties. Conclusions: Results of the tissue-level reliability analysis enhance the belief that rotational effects are the primary cause of brain injuries. Accordingly, the use of a solely translational acceleration based injury metric contains several uncertainties which can lead to relatively high injury probabilities even if relatively small translational effects occur.
Rocznik
Strony
141--152
Opis fizyczny
Bibliogr. 25 poz., rys., tab., wykr.
Twórcy
autor
  • Department of Structural Mechanics, Budapest University of Technology and Economics, Budapest, Hungary
autor
  • Department of Structural Mechanics, Budapest University of Technology and Economics, Budapest, Hungary
Bibliografia
  • [1] DIMASI F., EPPINGER R., BANDAK F., Computational Analysis of Head Impact Response Under Car Crash Loadings, SAE Technical Paper 952718, 1995, https://doi.org/10.4271/952718.
  • [2] EPANECHNIKOV V.A., Nonparametric estimation of a multidimensional probability density, Theor. Probab. Appl., 1969, 14, 153–158.
  • [3] FAUL M., XU L., WALD M.M., CORONADO V.G., Traumatic Brain Injury in the United States: Emergency Department Visits, Hospitalizations and Deaths 2002–2006, Atlanta (GA): Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, 2010.
  • [4] HAZAY M., BOJTAR I., Impact biomechanics of brain injuries: a proposal for evaluating vulnerability based on reliability analysis, Biomech. Hung., 2017, 10(1), 75–84.
  • [5] HOLBOURN A.H.S., Mechanics of head injuries, The Lancet, 1943, 2(6267), 438–441.
  • [6] KENDALL M., A New Measure of Rank Correlation, Biometrika, 1938, 30(1–2), 81–89, DOI:10.1093/biomet/30.1-2.81.
  • [7] KING A.I., VIANO D.C., Mechanics of Head/Neck, [in:] J.D. Bronzino (Ed.), The biomedical engineering handbook, 2nd ed., CRC Press LLC, Boca Raton (FL), 2000, 420–431.
  • [8] KLEIVEN S., Predictors for traumatic brain injuries evaluated through accident reconstruction, Stapp. Car Crash J., 2007, 51, 81–114.
  • [9] LAPLACA M.C., CULLEN D.K., MCLOUGHLIN J.J., CARGILL R.S., High rate shear strain of three-dimensional neural cell cultures: a new in vitro traumatic brain injury model, J. Biomech., 2005, 38, 1093–1105.
  • [10] The MathWorks, MATLAB Online Help, Copulas: Generate Correlated Samples, https://www.mathworks.com/help/stats/copulas-generate-correlated-samples.html. Accessed 25 November 2018.
  • [11] The MathWorks, MATLAB Programming Fundamentals 2016b, Natick (MA): The MathWorks, 2016.
  • [12] MERTZ H., PRASAD P., NUSHOLTZ G., Head injury risk assessment for forehead impacts, Society of Automotive Engineers, Technical Paper No.: 960099, Warrendale (PA), 1996.
  • [13] MERTZ H.J., IRWIN A.L., Anthropomorphic test devices and injury risk assessments, [in:] N. Yoganandan, A.M. Nahum, J.W. Melvin (editors), Accidental Injury, Springer, New York (NY), 2015, 83–112.
  • [14] MUELLER B., MACALISTER A., NOLAN J., ZUBY D., Comparison of HIC and BrIC head injury risk in IIHS frontal crash tests to real-world head injuries, Proceedings of the 24th International Technical Conference On The Enhanced Safety of Vehicles, Jun. 8–11, 2015, Gothenburg, Sweden.
  • [15] NEWMAN J.A., Head injury criteria in automotive crash testing, Society of Automotive Engineers, Technical Paper No. 801317, Warrendale (PA), 1980.
  • [16] NOWAK A.S., COLLINS K.R., Reliability of structures, McGraw--Hill, New York (NY), 2000.
  • [17] OMMAYA A.K., GRUBB R.L. JR., NAUMANN R.A., Coup and contre-coup injury: observations on the mechanics of visible brain injuries in the rhesus monkey, J. Neurosurg., 1971, 35(5), 503–516.
  • [18] PRASAD P., MERTZ H.J., The position of the United States delegation to the ISO working group 6 on the use of HIC in the automotive environment, Society of Automotive Engineers, Technical Paper No.: 851246, Warrendale (PA), 1985.
  • [19] PRASAD P., DALMOTAS D., GERMAN A., The field relevance of NHTSA’s oblique research moving deformable barrier tests, Stapp. Car Crash J., 2014, 58, 175–195.
  • [20] RUBINSTEIN R.Y., Simulation and the Monte Carlo methods, John Wiley & Sons, New York (NY), 1981.
  • [21] TAKHOUNTS E.G., EPPINGER R.H., CAMPBELL J.Q., TANNOUS R.E., POWER E.D., SHOOK L.S., On the development of the SIMon finite element head model, 47th Stapp. Car Crash J., 2003, 47, 107–133.
  • [22] TAKHOUNTS E.G., HASIJA V., EPPINGER R.H., Analysis of 3D rigid body motion using the nine acceleration array and the randomly distributed in-plane accelerometer systems, [in:] Proceedings of the 21st (ESV) International Technical Conference on the Enhanced Safety of Vehicles, Jun. 15–18, 2009, Stuttgart, Germany.
  • [23] TAKHOUNTS E.G., CRAIG M.J., MOORHOUSE K., MCFADDEN J., HASIJA V., Development of brain injury criteria (BrIC), Stapp. Car Crash J., 2013, 57, 243–266.
  • [24] VERSACE J., A review of the severity index, Proceedings of the 15th Stapp. Car Crash Conference, Nov. 17–19, 1971, Coronado, CA, Warrendale (PA): Society of Automotive Engineers.
  • [25] ZHANG J., YOGANANDAN N., PINTAR F.A., GENNARELLI T.A., Role of translational and rotational accelerations on brain strain in lateral head impact, Biomed. Sci. and Instrum., 2006, 42, 501–506.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ea255766-e349-40ad-a803-a6b153a186d1
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