2019
DOI: 10.3390/ma12020271
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Material and Structural Modeling Aspects of Brain Tissue Deformation under Dynamic Loads

Abstract: The aim of this work was to assess the numerous approaches to structural and material modeling of brain tissue under dynamic loading conditions. The current technological improvements in material modeling have led to various approaches described in the literature. However, the methods used for the determination of the brain’s characteristics have not always been stated or clearly defined and material data are even more scattered. Thus, the research described in this paper explicitly underlines directions for t… Show more

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Cited by 44 publications
(26 citation statements)
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“…The post-processed data aided in assessing the severity of head injury. The FE head models were developed, validated and descripted in details in author's publications [64][65][66]. The multi-scale approach carried out for VRU safety assessment is presented in Table 2.…”
Section: Resultsmentioning
confidence: 99%
“…The post-processed data aided in assessing the severity of head injury. The FE head models were developed, validated and descripted in details in author's publications [64][65][66]. The multi-scale approach carried out for VRU safety assessment is presented in Table 2.…”
Section: Resultsmentioning
confidence: 99%
“…There are different ways to model time-variant reliability structures, for example, using graphs, tables, reliability block diagrams, fault trees, and so forth [4][5][6][7]. Moreover, there are a number of calculation methods used in reliability engineering, for example, Bayesian methods [8][9][10][11], Monte Carlo [12][13][14][15], Markov processes [16][17][18], fuzzy logic [19][20][21][22], and so forth.…”
Section: Introductionmentioning
confidence: 99%
“…The risk increases as the energy of the tire pressure increases, i.e., as the wheel size and tire pressure increase [5][6][7]. An explosion may lead to serious head injury or the death of an operator [8][9][10][11][12]. Operators and mechanics working with agricultural, mining, construction, and building machinery, trans-shipment equipment, tractors, trucks, trailers, and semi-trailers are particularly at risk [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%