列车驾驶员工作空间布局鲁棒性优化设计
Robust optimization design of train driver workspace

为研究驾驶员二次碰撞损伤程度，优化驾驶员工作空间布局，减小驾驶员碰撞损伤，建立列车控制台—座椅—假人耦合碰撞动力学模型，针对驾驶员工作空间结构进行鲁棒性优化设计。研究结果表明：驾驶员头部加速度、胸部压缩量、大腿力指标和小腿指标超出了人体耐受极限值；控制台与座椅水平距离(变量A)、控制台与膝垫水平距离(变量B)和控制台截面厚度(变量C)对驾驶员损伤程度影响较大；设计变量A，B和C的鲁棒性优化结果分别为369.8，382.4和152.1 mm，优化后驾驶员各项损伤指标都相应减小，且满足人体耐受限值；鲁棒性优化设计能降低目标响应波动σ，提高设计的可靠性。
To study secondary impact injuries of a train driver and optimize the driver workspace to reduce the driver impact injury. The console-seat-dummy coupling collision model is developed. The robust optimization of the driver workspace is implemented to decrease driver injuries. The injury criteria head acceleration, DC, FFC and TI are beyond maximum acceptable values. The extent of the influence of the longitudinal distance between the console and the seat (factor A), the longitudinal distance between the console and the knee bolster (factor B), the cross-sectional thickness of the console (factor C) on driver injury results is high. The factor A, B, and C after robust optimization design is 369.8 mm, 382.4 mm, and 152.1 mm, respectively. All injury criteria after optimization are decreased and satisfy maximum acceptable values. The fluctuation of design objects σ is reduced and the design reliability is improved in robust optimization