a Key Laboratory of Traffic Safety on Track, Ministry of Education , Central South University , Changsha , Hunan , China.
Traffic Inj Prev. 2013;14(8):816-22. doi: 10.1080/15389588.2013.768341.
The study reported in this article addressed the influence of each factor (impact acceleration, table height h, table to seat distance l₁, interseat distance l₂, table contact stiffness k₁, seat contact stiffness k₂, etc.) on the extent of occupant impact injury in a railway vehicle secondary collision.
The vehicle's passenger compartment-occupant coupling model was established using proprietary software (MADYMO). The simulated occupant was MADYMO's validated Hybrid III 50th percentile dummy model, and the vehicle's passenger compartment model included the floor surface, side wall, seat (with cushion), backrest, and table. The floor surface and side wall were modeled as flat surfaces; the seat (with its cushion), backrest, and table were modeled as ellipsoids. Some 25 samples were selected for numerical simulation based on a 2-factor, 5-level, full-factorial experimental design: the response surface method (RSM) was applied to fit the mapping relationship between the occupant's injury parameters (head injury criterion [HIC] and thoracic cumulative 3-ms injury criterion [TC(3ms)]) and other multi-influence factors.
Taking the seat-table structure model and seat-seat structure model as examples, the influence of each factor on the extent of the passenger compartment occupant's impact injury was assessed from the basis of traditional passenger compartment configurations found on Chinese trains. The sensitivity analysis of occupant injury parameters on these influence factors was carried out to determine the extent of the influence of each factor on each impact injury parameter.
The response surfaces of the occupant's injury parameters (HIC and TC(3ms)), and changes therein as the system's variables were altered showed that impact injury parameters and change thereto could be described intuitively and qualitatively. Some meaningful conclusions were obtained through the sensitivity analysis of occupant injury parameters to changes in these influence factors. The research offered a guideline for the design and manufacture of a train's passenger compartment structure.
本文研究了在铁路车辆二次碰撞中，每个因素（冲击加速度、桌子高度 h、桌子与座位距离 l₁、座位间距离 l₂、桌子接触刚度 k₁、座位接触刚度 k₂ 等）对乘客冲击损伤程度的影响。
使用专有软件（MADYMO）建立了车辆乘客舱-乘客耦合模型。模拟乘客采用 MADYMO 验证的 Hybrid III 50 百分位假人模型，车辆乘客舱模型包括地板表面、侧墙、座椅（带坐垫）、靠背和桌子。地板表面和侧墙被建模为平面；座椅（带坐垫）、靠背和桌子被建模为椭球体。基于 2 因素 5 水平完全析因实验设计，选择了大约 25 个样本进行数值模拟：响应面法（RSM）用于拟合乘员损伤参数（头部损伤准则[HIC]和胸部累积 3ms 损伤准则[TC(3ms)])与其他多影响因素之间的映射关系。
以座椅-桌子结构模型和座椅-座椅结构模型为例，从中国列车上常见的传统乘客舱配置的基础上，评估了每个因素对乘客舱乘客冲击损伤程度的影响。对乘员损伤参数对这些影响因素的敏感性分析，确定了每个因素对每个冲击损伤参数的影响程度。
乘员损伤参数（HIC 和 TC(3ms)）的响应面及其随系统变量变化的情况表明，可以直观和定性地描述冲击损伤参数及其变化。通过乘员损伤参数对这些影响因素变化的敏感性分析得出了一些有意义的结论。该研究为列车乘客舱结构的设计和制造提供了指导。
