K. S. Kniazeva, Yoshinori Saito, A. I. Korolkov, A. Shanin
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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.
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.