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On the Choice of Kernel Function in Nonlocal Wave Propagation

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Abstract

It is a challenge to choose the appropriate kernel function in nonlocal problems. We tackle this challenge from the aspect of nonlocal wave propagation and study the dispersion relation at the analytical level. The kernel function enters the formulation as an input. Any effort to narrow down this function family is valuable. Dispersion relations of the nonlocal governing operators are identified. Using a Taylor expansion, a selection criterion is devised to determine the kernel function that provides the best approximation to the classical (linear) dispersion relation. The criterion is based on selecting the smallest coefficient in magnitude of the dominant term in the Taylor expansion after the constant term. The governing operators are constructed using functional calculus, which provides the explicit expression of the eigenvalues of the operators. The ability to express eigenvalues explicitly allows us to obtain dispersion relations at the analytical level, thereby isolating the effect of discretization on the dispersion relation. With the presence of expressions of eigenvalues of the governing operator, the analysis is clear and accessible. The choices made to obtain the best approximation to the classical dispersion relation become completely transparent. We find that the truncated Gaussian family is the most effective compared to power and rational function families.

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References

  1. Aksoylu B, Beyer HR, Celiker F (2017) Application and implementation of incorporating local boundary conditions into nonlocal problems. Numer Funct Anal Optim 38(9):1077–1114. https://doi.org/10.1080/01630563.2017.1320674

    Article  MathSciNet  Google Scholar 

  2. Aksoylu B, Beyer HR, Celiker F (2017) Theoretical foundations of incorporating local boundary conditions into nonlocal problems. Rep Math Phys 40 (1):39–71. https://doi.org/10.1016/S0034-4877(17)30061-7

    Article  MathSciNet  Google Scholar 

  3. Aksoylu B, Celiker F (2017) Nonlocal problems with local Dirichlet and Neumann boundary conditions. J Mech Mater Struct 12(4):425–437. https://doi.org/10.2140/jomms.2017.12.425

    Article  MathSciNet  Google Scholar 

  4. Aksoylu B, Celiker F, Gazonas GA (2020) Higher order collocation methods for nonlocal problems and their asymptotic compatibility. Comm Appl Comput Math 2:261–303. https://doi.org/10.1007/s42967-019-00051-8

    Article  MathSciNet  Google Scholar 

  5. Aksoylu B, Celiker F, Kilicer O (2019) Nonlocal operators with local boundary conditions: an overview. Springer International Publishing, Cham, pp 1293–1330. https://doi.org/10.1007/978-3-319-58729-5_34

  6. Aksoylu B, Celiker F, Kilicer O (2019) Nonlocal problems with local boundary conditions in higher dimensions. Adv Comp Math 45(1):453–492. https://doi.org/10.1007/s10444-018-9624-6

    Article  Google Scholar 

  7. Aksoylu B, Gazonas GA (2018) Inhomogeneous local boundary conditions in nonlocal problems. Inproceedings of ECCOMAS2018, 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), Glasgow, pp 11-15

  8. Aksoylu B, Gazonas GA (2020) On nonlocal problems with inhomogeneous local boundary conditions. J Peridyn Nonlocal Model 2:1–25. https://doi.org/10.1007/s42102-019-00022-w

    Article  Google Scholar 

  9. Aksoylu B, Kaya A (2018) Conditioning and error analysis of nonlocal problems with local boundary conditions. J Comput Appl Math 335:1–19. https://doi.org/10.1016/j.cam.2017.11.023

    Article  MathSciNet  Google Scholar 

  10. Andreu-Vaillo F, Mazon JM, Rossi JD, Toledo-melero J (2010) Nonlocal diffusion problems, mathematical surveys and monographs, vol 165. American Mathematical Society and Real Socied Matematica Espanola

  11. Bae H, Ulusoy S (2017) Global well-posedness for nonlinear nonlocal Cauchy problems arising in elasticity. Electron J Differ Equ 55:1–7. http://ejde.math.txstate.edu

  12. Bazant ZP, Luo W, Chau VT (2016) Bessa, M.A.: Wave dispersion and basic concepts of peridynamics compared to classical nonlocal damage models. J Appl Mech 83:111004. Eid: 111004

  13. Beyer HR, Aksoylu B, Celiker F (2016) On a class of nonlocal wave equations from applications. J Math Phy 57(6):062902. https://doi.org/10.1063/1.4953252. Eid: 062902

  14. Butt SN, Timothy JJ, Meschke G (2017) Wave dispersion and propagation in state-based peridynamics. Comput Mech 60:725–738. https://doi.org/10.1007/s00466-017-1439-7

    Article  MathSciNet  Google Scholar 

  15. Chen Y, Lee JD, Eskandarian A (2003) Examining the physical foundation of continuum theories from the viewpoint of phonon dispersion relation. Internat J Eng Sci 41:61–83

    Article  MathSciNet  Google Scholar 

  16. Chen Z, Bakenhus D, Bobaru F (2016) A constructive peridynamic kernel for elasticity. Comput Methd Appl Mech Eng 311:356–373

    Article  MathSciNet  Google Scholar 

  17. Cortazar C, Elgueta M, Rossi JD, Wolanski N (2008) How to approximate the heat equation with Neumann boundary conditions by nonlocal diffusion problems. Arch Rational Mech Anal 187(1):137–156. https://doi.org/10.1007/s00205-007-0062-8

    Article  MathSciNet  Google Scholar 

  18. Dayal K (2017) Leading-order nonlocal kinetic energy in peridynamics for consistent energetics and wave dispersion. J Mech Phys Solids 105:235–253

    Article  MathSciNet  Google Scholar 

  19. Domenico DD, Askes H, Aifantis EC (2019) Gradient elasticity and dispersive wave propagation: model motivation and length scale identification procedures in concrete and composite laminates. Internat J Solids Struct 158:176–190

    Article  Google Scholar 

  20. Du Q, Gunzburger M, Lehoucq RB, Zhou K (2013) A nonlocal vector calculus, nonlocal volume-constrained problems, and nonlocal balance laws. Math Mod Meth Appl Sci 23:493–540

    Article  MathSciNet  Google Scholar 

  21. Eringen AC (2002) Nonlocal continuum field theories. Springer, New York

    MATH  Google Scholar 

  22. Foster JT (2017) Constitutive modeling in peridynamics. In: Bobaru F, Foster JT, Geubelle PH, Silling SA (eds) Handbook of peridynamic modeling, Advances in Applied Mathematics. https://doi.org/10.1201/9781315373331. Chapman and Hall/CRC, New York, pp 143–177

  23. Gu X, Zhang Q, Huang D, Yv Y (2016) Wave dispersion analysis and simulation method for concrete SHPB test in peridynamics. Eng Fract Mech 160:124–137

    Article  Google Scholar 

  24. Madenci E, Barut A, Dorduncu M (2019) Peridynamic differential operator for numerical analysis. Springer International Publishing, Cham. https://doi.org/10.1007/978-3-030-02647-9

  25. Madenci E, Barut A, Futch M (2016) Peridynamic differential operator and its applications. Comput Methd Appl Mech Eng 304:408–451. https://doi.org/10.1016/j.cma.2016.02.028

    Article  MathSciNet  Google Scholar 

  26. Mikata Y (2012) Analytical solutions of peristatic and peridynamics problems for a 1D infinite rod. Internat J Solids Struct 49:2887–2897

    Article  Google Scholar 

  27. Mutnuri VS, Gopalakrishnan S (2018) A comparative study of wave dispersion between discrete and continuum linear bond-based peridynamics systems: 1D framework. Mech Res Comm 94:40–44

    Article  Google Scholar 

  28. Mutnuri VS, Gopalakrishnan S (2020) A re-examination of wave dispersion and on equivalent spatial gradient of the integral in bond-based peridynamics. J. Peridyn. Nonlocal Model. In press

  29. Seleson P, Parks ML (2011) On the role of the influence function in the peridynamic theory. Internat. J Multiscale Comput Eng 9(6):689–706

    Article  Google Scholar 

  30. Seleson P, Parks ML, Gunzburger M, Lehoucq RB (2009) Peridynamics as an upscaling of molecular dynamics. Multiscale Model Simul 8:204–227

    Article  MathSciNet  Google Scholar 

  31. Silling S (2000) Reformulation of elasticity theory for discontinuities and long-range forces. J Mech Phys Solids 48:175–209

    Article  MathSciNet  Google Scholar 

  32. Silling S (2017) Introduction to peridynamics. In: Bobaru F, Foster JT, Geubelle PH, Silling SA (eds) Handbook of peridynamic modeling, Advances in Applied Mathematics. https://doi.org/10.1201/9781315373331. Chapman and Hall/CRC, New York, pp 25–60

  33. Silling SA (2017) Why peridynamics?. In: Bobaru F, Foster JT, Geubelle PH, Silling SA (eds) Handbook of Peridynamic modeling, Advances in Applied Mathematics. https://doi.org/10.1201/9781315373331. Chapman and Hall/CRC, New York, pp 3–23

  34. Weckner O, Silling SA (2011) Determination of nonlocal constitutive equations from phonon dispersion relations. J Multiscale Comput Eng 9:623–634

    Article  Google Scholar 

  35. Wildman RA (2019) Discrete micromodulus functions for reducing wave dispersion in linearized peridynamics. J Peridyn Nonlocal Model 1:56–73. https://doi.org/10.1007/s42102-018-0001-0

    Article  Google Scholar 

  36. Wildman RA, Gazonas GA (2014) A finite diffference-augmented peridynamics method for reducing wave dispersion. Int J Fract 190:39–52. https://doi.org/10.1007/s10704-014-9973-1

    Article  Google Scholar 

  37. Zhang X, Xu Z (2020) Dispersion of an SH-guided wave in weld seam based on peridynamics theory. Math Probl Eng 2020:4802930. Article ID: 4802930

  38. Zhang X, Xu Z, Yang Q (2019) Wave dispersion and propagation in linear peridynamic media. Shock Vibr 2019:9528978. Article ID: 9528978

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Funding

Burak Aksoylu’s research was sponsored by the CCDC Army Research Laboratory and was accomplished under Cooperative Agreement Number W911NF-16-2-0008. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.

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Aksoylu, B., Gazonas, G.A. On the Choice of Kernel Function in Nonlocal Wave Propagation. J Peridyn Nonlocal Model 2, 379–400 (2020). https://doi.org/10.1007/s42102-020-00034-x

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