Cubic and quintic B-spline functions for dynamic response
Tong Hui
Abstract
Tong Hui
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.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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