Research on Secondary Impact Safety of Train Driver based on THUMS Dummy

Wang, Wenbin; Ji, Jiawei; Yue, Zhitao; Zhang, Dongdong; Tian, Honglei; Zhao, Hongwei

doi:10.1051/matecconf/20168102016

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the current research, the muti-body dynamics model and finite element (FE) model are two types of seat-human simulation [13,14]. The former aims to analyze the transmission of vibration from the rail-wheel to the seat and human body parts, while the global deformation can be calculated in this process.…”

Section: Introductionmentioning

confidence: 99%

Comfort Assessment and Optimization Based on FE Simulation for High-Speed Train Seats: Comparison with Different Design Parameters

et al. 2022

View full text Add to dashboard Cite

Nowadays, riding comfort is more significant than before for evaluating the quality of high–speed railways and sitting is the most common posture for its passengers. This study aimed to analyze and optimize the pressure distribution and sitting comfort of second–class seats with different design parameters. Firstly, 21 pressure features were calculated after the field sitting tests conducted on a CRH Train. The subjective comfort was quantified as a linear combination of 6 pressure features in 21, which were selected using stepwise regression analysis (R2 = 0.684). A seat-human finite element model was established using THUMS for a human body and MAT_57 for the seat foam. Finally, this study analyzed the effects of foam and seat angles on interface pressure distribution and comfort ratings. The set of design parameters with the highest comfort was selected from 12 free combinations. The results show that the seat foam with less stiffness may not improve sitting comfort due to the asymmetry of the seat frame. Moreover, appropriately increasing the stiffness of the cushion and backrest will not lead to a decrease in subjective feelings and the pressure distribution becomes more reasonable as the inclination angle increases within 10 degrees. The final optimization increases the computational comfort of the seat-human model by 6.5 in a −50 to 50 scale.

show abstract

Section: Introductionmentioning

confidence: 99%