Study on Head Impact Injury Evaluation Index of Vehicle Interior Fittings

2016 ◽  
Author(s):  
Wang Kun ◽  
Li Haibin ◽  
Wang Yang
Keyword(s):  
Head Impact ◽  
Evaluation Index ◽  
Vehicle Interior ◽  
Impact Injury

A coupled physical-computational methodology for the investigation of short fall related infant head impact injury

2019 ◽  
Vol 300 ◽  
pp. 170-186 ◽  
Author(s):  
Ghaidaa A. Khalid ◽  
Raj K. Prabhu ◽  
Owen Arthurs ◽  
Michael D. Jones
Keyword(s):  
Head Impact ◽  
Computational Methodology ◽  
Impact Injury

scholarly journals Simulation of the development of frontal head impact injury

2000 ◽  
Vol 26 (3) ◽  
pp. 229-235 ◽  
Author(s):  
M. D. Gilchrist ◽  
D. O'Donoghue
Keyword(s):  
Head Impact ◽  
Impact Injury

Vehicle Interior Sound Quality Evaluation Index Selection Scheme Based on Grey Relational Analysis

2020 ◽  
Vol 19 (03) ◽  
pp. 2050031
Author(s):  
Jian Pan ◽  
Xiaolin Cao ◽  
Dengfeng Wang ◽  
Jing Chen ◽  
Jiankun Yuan
Keyword(s):  
Grey Relational Analysis ◽  
Quality Evaluation ◽  
Hierarchical Cluster ◽  
Subjective Assessment ◽  
Sound Quality ◽  
Evaluation Index ◽  
Vehicle Interior ◽  
Selection Scheme ◽  
Relational Analysis ◽  
Grey Relational

In the process of vehicle interior sound quality research, the subjective assessment usually requires a lot of manpower, time and material resources. It is necessary to choose appropriate objective indexes to predict the subjective results. In this paper, a sound quality evaluation index analysis and selection scheme based on grey relational analysis (GRA) is designed. In order to make a reasonable prediction of the subjective indexes with the limited data, GRA of the objective indexes and subjective indexes is conducted. Because three subjective indexes are considered in our study, an indicator that can represent the three chosen subjective indexes is established for the subsequent analysis. Furthermore, the comprehensive ranking and the hierarchical cluster analysis (HCA) of the objective indexes are involved to make the selection of objective indexes easy and meaningful. Finally, the objective indexes are divided into five groups by HCA. According to the clustering results, four objective indexes including “fluctuation”, “sharpness”, “articulation index” and “roughness” are suitable for predicting and representing the subjective indexes to some degree. The scheme proposed in this paper lays the foundation for further optimization and control of vehicle interior sound quality. The method can also be applied to solve other similar multi-factor analysis and selection problems.

P2-055: Early Chronic Traumatic Encephalopathy in Young Athletes After Concussive Closed-Head Impact Injury and Mouse Model of Impact Concussion

2016 ◽  
Vol 12 ◽  
pp. P628-P629
Author(s):  
Lee E. Goldstein ◽  
Chad A. Tagge ◽  
Andrew M. Fisher ◽  
Olga Minaeva ◽  
Amanda Gaudreau ◽  
...  
Keyword(s):  
Mouse Model ◽  
Chronic Traumatic Encephalopathy ◽  
Head Impact ◽  
Young Athletes ◽  
Closed Head ◽  
Impact Injury

scholarly journals Why Do Woodpeckers Resist Head Impact Injury: A Biomechanical Investigation

PLoS ONE ◽  
2011 ◽  
Vol 6 (10) ◽  
pp. e26490 ◽  
Author(s):  
Lizhen Wang ◽  
Jason Tak-Man Cheung ◽  
Fang Pu ◽  
Deyu Li ◽  
Ming Zhang ◽  
...  
Keyword(s):  
Head Impact ◽  
Biomechanical Investigation ◽  
Impact Injury

Influence Factors of Railway Vehicle Interior Impact Injury

2011 ◽  
Vol 79 ◽  
pp. 227-231 ◽  
Author(s):  
Wen Bin Wang
Keyword(s):  
Injury Risk ◽  
Influence Factors ◽  
Railway Vehicle ◽  
Vehicle Interior ◽  
Face To Face ◽  
Hybrid Iii ◽  
The Face ◽  
Occupant Injury ◽  
American Standard ◽  
Impact Injury

Based on interior configurations of railway vehicle of China and simulation using modeling of MADYMO Hybrid III 50% Dummy, the occupant injury of interior impact in railway crash events is analyzed according the European and American standard. The results indicated that in the face to face seating without table, the injury is serious then face to back and face to face with table .The other affect factors are the stiffness of interior equipment and the distance of seats. It is needed to optimize the parameter of interior equipment to reduce injury risk for the occupants under collision scenarios. At last the suggestions and methods for railway vehicle occupant safety protection are put forward in the paper.

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