Evaluation of brain injury criteria based on reliability analysis

• Autorzy: Hazay Máté , Bojtar Impre

Identyfikatory

DOI

10.37190/ABB-01755-2020-04

• Języki publikacji: EN

Abstrakty

EN

Purpose: Among the proposed brain injury metrics, Brain Injury Criteria (BrIC) is a promising tool for performing safety assessment of vehicles in the future. In this paper, the available risk curves of BrIC were re-evaluated with the use of reliability analysis and new risk curves were constructed for different injury types based on literature data of tissue-level tolerances. Moreover, the comparison of different injury metrics and their corresponding risk curves were performed. Methods: Tissue-level uncertainties of the effect and resistance were considered by random variables. The variability of the tissue-level predictors was quantified by the finite element reconstruction of 100 frontal crash tests which were performed in Simulated Injury Monitor environment. The applied tests were scaled to given BrIC magnitudes and the injury probabilities were calculated by Monte Carlo simulations. New risk curves were fitted to the observed results using Weibull and Lognormal distribution functions. Results: The available risk curves of diffuse axonal injury (DAI) could be slightly improved, and combined AIS 4+ risk curves were obtained by considering subdural hematoma and contusion as well. The performance of several injury metrics and their risk curves were evaluated based on the observed correlations with the tissue-level predictors. Conclusions: The cumulative strain damage measure and the BrIC provide the highest correlation (R2 = 0.61) and the most reliable risk curve for the evaluation of DAI. Although the observed correlation is smaller for other injury types, the BrIC and the associated reliability analysis-based risk curves seem to provide the best available method for estimating the brain injury risk for frontal crash tests.

Słowa kluczowe

EN

brain injuries; finite element simulations; injury risk; car crash

PL

uszkodzenie mózgu; symulacja elementów skończonych; ryzyko obrażeń; wypadek samochodowy

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Acta of Bioengineering and Biomechanics
• Rocznik: 2021
• Tom: Vol. 23, no. 1
• Strony: 173--185
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Hazay Máté

• Department of Structural Mechanics, Budapest University of Technology and Economics, Budapest, Hungary

autor

Bojtar Impre

• Department of Structural Mechanics, Budapest University of Technology and Economics, Budapest, Hungary

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).