汽车轮胎瞬态过程的鞍点法解释

Q2 Computer Science
K. S. Kniazeva, Yoshinori Saito, A. I. Korolkov, A. Shanin
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引用次数: 0

摘要

对悬架轮胎的机械激励问题进行了实验和理论研究。轮胎被认为是一个弹性波导。波导有限元法(WFEM)对其进行了数值描述。考虑了一种由δ型脉冲激励轮胎的情况,它对应于施加在轮胎某一点上的短踢腿。本文着重于形式解的渐近分析。主要评价了一种具有指数衰减的快速非平稳波。对鞍点法进行了改进,即多轮廓鞍点法。在这种方法的框架中,我们寻找波导色散图的解析延拓的鞍点,考虑到积分的轮廓在色散图上形成了一组曲线。对轮胎脉冲响应进行了实验测量。实验观测到的前驱体与理论预测吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Saddle Point Method Interpretation of Transient Processes in Car Tires
The problem of mechanical excitation of a suspended tire is studied experimentally and theoretically. The tire is considered as an elastic waveguide. Its numerical description is provided by the Waveguide Finite Element Method (WFEM). A case of tire excitation by a δ -shaped pulse is considered, which corresponds to a short kick applied to some point of the tire. The paper focuses on asymptotic analysis of the formal solution. Mainly, a forerunner is evaluated, which is a fast non-stationary wave having an exponential decay. A modification of the saddle point method, namely, a multi-contour saddle point method, is applied for such an estimation. In the framework of this method, we look for the saddle points of the analytical continuation of the dispersion diagram of the waveguide, taking into account that the contours of integration form a family of curves on the dispersion diagram. The tire pulse response is also measured experimentally. A good agreement between the experimentally observed forerunner and its theoretical prediction is shown.
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来源期刊
Supercomputing Frontiers and Innovations
Supercomputing Frontiers and Innovations Computer Science-Computational Theory and Mathematics
CiteScore
1.60
自引率
0.00%
发文量
7
审稿时长
12 weeks
期刊介绍: The Journal of Supercomputing Frontiers and Innovations (JSFI) is a new peer reviewed publication that addresses the urgent need for greater dissemination of research and development findings and results at the leading edge of high performance computing systems, highly parallel methods, and extreme scaled applications. Key topic areas germane include, but not limited to: Enabling technologies for high performance computing Future generation supercomputer architectures Extreme-scale concepts beyond conventional practices including exascale Parallel programming models, interfaces, languages, libraries, and tools Supercomputer applications and algorithms Distributed operating systems, kernels, supervisors, and virtualization for highly scalable computing Scalable runtime systems software Methods and means of supercomputer system management, administration, and monitoring Mass storage systems, protocols, and allocation Energy and power minimization for very large deployed computers Resilience, reliability, and fault tolerance for future generation highly parallel computing systems Parallel performance and correctness debugging Scientific visualization for massive data and computing both external and in situ Education in high performance computing and computational science.
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