2006Journal of Tsinghua University(Science and Technology)Requires access

Cubic and quintic B-spline functions for dynamic response

Tong Hui

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Abstract

There are numerous approximate algorithms for dynamical response analysis,but their accuracies are limited and they are computationally intensive.The Hamilton-type quasi-variation principle was used to develop a method using cubic B-spline functions for interpolation from the frequency domain to the time subdomain.Numerical results indicate that the maximum errors are 1/17~2/5 of traditional algorithms and computation times are 1/10~1/3.In addition,the time-subdomain method using cubic B-spline interpolation is more easily applied in engineering problems than methods using quintic B-spline functions.

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There are numerous approximate algorithms for dynamical response analysis,but their accuracies are limited and they are computationally intensive.The Hamilton-type quasi-variation principle was used to develop a method using cubic B-spline functions for interpolation from the frequency domain to the time subdomain.Numerical results indicate that the maximum errors are 1/17~2/5 of traditional algorithms and computation times are 1/10~1/3.In addition,the time-subdomain method using cubic B-spline interpolation is more easily applied in engineering problems than methods using quintic B-spline functions.

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Available abstract

There are numerous approximate algorithms for dynamical response analysis,but their accuracies are limited and they are computationally intensive.The Hamilton-type quasi-variation principle was used to develop a method using cubic B-spline functions for interpolation from the frequency domain to the time subdomain.Numerical results indicate that the maximum errors are 1/17~2/5 of traditional algorithms and computation times are 1/10~1/3.In addition,the time-subdomain method using cubic B-spline interpolation is more easily applied in engineering problems than methods using quintic B-spline functions.

Key concepts: Quintic function, Monotone cubic interpolation, Spline interpolation, Computation, Interpolation (computer graphics), B-spline, Mathematics, Algorithm

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