Study on Non-local Cubic Spline Function Based on Peridynamics

  • Jincai Chang
  • Jiecheng WangEmail author
  • Dan Jian
  • Zhuo Wang
  • Jianhua Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 582)


Cubic spline function is popular in modeling field because of its excellent properties, but it is difficult to solve because the derivative does not exist in discontinuity of displacement. And when the interpolation point is sparse, the interpolation curve isn’t good. Peridynamic is well in the problem of discontinuity. Therefore, the non-local operator is introduced by peridynamics and non-local calculus theory, and the interpolation method with first-order smoothness is provided. Then the concept of non-local mapping is introduced to the cubic spline interpolation function with second-order smoothness, and non-local cubic spline function and its numerical computational method are definited. This method not only preserves the smoothness of the spline function, but also achieves the good property of the non-local interpolation. It is more accurate and can better show the trend of the data points than the traditional cubic spline interpolation when the interpolation point is sparse.


Non-local calculus theory Peridynamics Spline function Non-local operator Numerical computational method 



This work was supported by the National Science Foundation of China (51674121,61702184), the Returned Overseas Scholar Funding of Hebei Province (C2015005014), the Hebei Key Laboratory of Science and Applications, and Tangshan Innovation Team Project (18130209B).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Jincai Chang
    • 1
  • Jiecheng Wang
    • 1
    Email author
  • Dan Jian
    • 1
  • Zhuo Wang
    • 1
  • Jianhua Zhang
    • 2
  1. 1.College of SciencesNorth China University of Science and TechnologyTangshanChina
  2. 2.School of Electrical EngineeringHebei University of Science and TechnologyShijiazhuangChina

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