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    Overview of Design Considerations for Data-Driven Time-Stepping Schemes Applied to Nonlinear Mechanical Systems 

    Source: Journal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 007:;page 71012-1
    Author(s): Slimak, Tomas; Zwölfer, Andreas; Todorov, Bojidar; Rixen, Daniel J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Artificial neural networks (NNs) are a type of machine learning (ML) algorithm that mimics the functioning of the human brain to learn and generalize patterns from large amounts of data without the need for explicit knowledge ...
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    A Python Implementation of a Robust Multi-Harmonic Balance With Numerical Continuation and Automatic Differentiation for Structural Dynamics 

    Source: Journal of Computational and Nonlinear Dynamics:;2023:;volume( 018 ):;issue: 007:;page 71008-1
    Author(s): S. Martins, Tiago; Trainotti, Francesco; Zwölfer, Andreas; Afonso, Frederico
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work presents a tool that performs simulations in nonlinear vibration analysis. It can be used to appraise the structure's functionality and to determine the loading effects. Oscillations are fundamental in nature, ...
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