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A recursive model for nonlinear spring-mass-damper estimation of a vehicle localized impact

机译:用于车辆局部冲击的非线性弹簧质量阻尼器估计的递归模型

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摘要

In this paper, a recursive autoregressive model is presented to estimate modal parameters of the crash pulse recorded during a full-scale vehicle crash test. Those parameters can be further utilized to characterize a physical model, so called Maxwell model, which is composed of a serial spring-mass-damper model to simulate a vehicle crash event. Results produced by this viscoelastic system closely follow the reference vehicle's kinematics. Thanks to the application of nonlinear model's parameters estimated by RARMAX model it is possible to gain a closer insight into the nature of the vehicle collision. To evaluate the correctness of this methodology, the comparative analysis between the original vehicle's kinematics and behavior of a Maxwell model with the nonlinear parameters estimated by RARMAX model is presented.
机译:在本文中,提出了一种递归自回归模型来估计在全尺寸车辆碰撞测试期间记录的碰撞脉冲的模态参数。这些参数可以进一步用于表征物理模型,即所谓的麦克斯韦模型,该模型由串行弹簧-质量-阻尼器模型组成,以模拟车辆碰撞事件。该粘弹性系统产生的结果与参考车辆的运动学密切相关。由于应用了RARMAX模型估算的非线性模型参数,因此可以更深入地了解车辆碰撞的性质。为了评估该方法的正确性,提出了带有RARMAX模型估计的非线性参数的Maxwell模型的原始车辆运动学和行为之间的比较分析。

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