کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
511419 | 865848 | 2012 | 13 صفحه PDF | دانلود رایگان |
In this paper, the sigma-point Kalman filter (S-PKF) is adopted to track the state of composite structures undergoing impact-induced delamination. Estimates provided by the S-PKF are obtained through a set of sigma-points, which independently evolve in time according to the system dynamics. Since the number of sigma-points grows proportionally to the number of degrees of freedom of the space-discretized structural system, the S-PKF can become computationally demanding. Starting from the aforementioned independent evolution of the sigma-points, we propose a parallel implementation of the S-PKF within a shared-memory (OpenMP) architecture. Scalability and accuracy issues are eventually discussed.
► Sigma-point Kalman filter is adopted to track the state of composite structures undergoing impact-induced delamination.
► Starting from the independent evolution of sigma-points, we propose a parallel implementation of the filter.
► A shared-memory (OpenMP) architecture is adopted.
Journal: Computers & Structures - Volumes 92–93, February 2012, Pages 193–205