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About the Journal


Purpose
The Journal of Computational and Nonlinear Dynamics provides a medium for rapid dissemination of original research results in computational dynamics and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational dynamics, multi-body system dynamics, and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational problems and nonlinear problems, which occur in aeronautical, biological, civil, electrical, marine, mechanical, physical, and structural systems. For more information, please visit the companion website: www.asmejcnd.org.

Scope: Topics in the computational dynamics and multi-body system dynamics area include as follows: Theoretical, computational, and experimental methods; Novel formulations and algorithms for computation of kinematics and dynamics of rigid and flexible systems; Application of finite element and finite difference methods in dynamics; Numerical approaches in synthesis, optimization, and control; Parallel computations and software development. Topics in the nonlinear dynamics area include as follows: New theories and principles related to dynamical systems; Computational techniques for nonlinear systems; Dynamic stability, bifurcation, and control; Chaos, fractals, and pattern formation in physical and biological systems; System modeling, identification, and experimental methods; Frictional and discontinuous dynamical processes.

Diversity and Inclusion The Technical Committee on Publications and Communications endorses the commitment of ASME to support diversity and to create and ensure inclusive and ethical practices for publishing as well as the science and engineering professions.

Frequency: Monthly

ISSN: 1555-1415
eISSN: 1555-1423
CODEN: JCNDDM

Title History
Journal of Computational and Nonlinear Dynamics (ISSN: 1555-1415), 2006 - Present

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Impact Factor: 1.9
2023 Journal Citation Reports ®
(Clarivate Analytics, 2024)

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