Department of Mechanical Engineering, Faculty of Engineering, The University of Auckland, Private Bag 92019, New Zealand.
J Biomech. 2011 Feb 3;44(3):436-41. doi: 10.1016/j.jbiomech.2010.09.025. Epub 2010 Oct 25.
Optimal performance of a dynamical pole vault process was modeled as a constrained nonlinear optimization problem. That is, given a vaulter's anthropomorphic data and approach speed, the vaulter chose a specific take-off angle, pole stiffness and gripping height in order to yield the greatest jumping height compromised by feasible bar-crossing velocities. The optimization problem was solved by nesting a technique of searching an input-to-output mapping arising from the vaulting trajectory and a method of nonlinear sequential quadratic programming (SQP). It was suggested from the optimization results that the body's weight has an important influence on the vaulting performance beside the vaulter's height and approach speed; the less skilled vaulter should gradually adopt a longer pole to improve the performance.
将撑竿跳运动过程的最优表现建模为一个约束非线性优化问题。也就是说，给定撑竿跳运动员的人体测量学数据和助跑速度，运动员会选择特定的起跳角度、撑竿硬度和握持高度，以在可行的过杆速度下获得最大的跳跃高度。该优化问题通过嵌套一种搜索由撑竿跳轨迹产生的输入到输出映射的技术和一种非线性序列二次规划（SQP）方法来解决。从优化结果中可以看出，除了运动员的身高和助跑速度外，体重对撑竿跳表现也有重要影响；技术较差的运动员应该逐渐采用更长的撑竿来提高成绩。
