A versatile implicit computational framework for continuum-kinematics-inspired peridynamics

Firooz S, Javili A, Steinmann P (2023)

Publication Language: English

Publication Type: Journal article

Publication year: 2023

Journal

Computational Mechanics Springer Verlag (Germany)

Abstract

Continuum-kinematics-inspired peridynamics (CPD) has been recently proposed as a novel reformulation of peridynamics that is characterized by one-, two- and three-neighbor interactions. CPD is geometrically exact and thermodynamically consistent and does not suffer from zero-energy modes, displacement oscillations or material interpenetration. In this manuscript, for the first time, we develop a computational framework furnished with automatic differentiation for the implementation of CPD. Thereby, otherwise tedious analytical differentiation is automatized by employing hyper-dual numbers (HDN). This differentiation method does not suffer from round-off errors, subtractive cancellation errors or truncation errors and is thereby highly stable with superb accuracy being insensitive to perturbation values. The computational framework provided here is compact and model-independent, thus once the framework is implemented, any other material model can be incorporated via modifying the potential energy solely. Finally, to illustrate the versatility of our proposed framework, various potential energies are considered and the corresponding material response is examined for different scenarios.

Authors with CRIS profile

Soheil Firooz Lehrstuhl für Technische Mechanik (LTM) Paul Steinmann Lehrstuhl für Technische Mechanik (LTM)

Additional Organisation(s)

Sonderforschungsbereich 1540: Erforschung der Mechanik des Gehirns (EBM): Verständnis, Engineering und Nutzung mechanischer Eigenschaften und Signale in der Entwicklung, Physiologie und Pathologie des zentralen Nervensystems

Involved external institutions

Bilkent University / Bilkent Üniversitesi

Turkey (TR)

How to cite

APA:

Firooz, S., Javili, A., & Steinmann, P. (2023). A versatile implicit computational framework for continuum-kinematics-inspired peridynamics. Computational Mechanics. https://doi.org/10.1007/s00466-023-02415-7

MLA:

Firooz, Soheil, Ali Javili, and Paul Steinmann. "A versatile implicit computational framework for continuum-kinematics-inspired peridynamics." Computational Mechanics (2023).

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