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    Modeling and Analysis of an Electrically Actuated Microbeam Based on Nonclassical Beam Theory 

    Source: Journal of Computational and Nonlinear Dynamics:;2014:;volume( 009 ):;issue: 003:;page 31016
    Author(s): Belardinelli, Pierpaolo; Lenci, Stefano; Brocchini, Maurizio
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work investigates the mechanical behavior of a clampedclamped microbeam modeled within the framework of the straingradient elasticity theory. The governing equation of motion gives proper account of both the effect ...
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    Non-Smooth Dynamics of Tapping Mode Atomic Force Microscopy 

    Source: Journal of Computational and Nonlinear Dynamics:;2023:;volume( 018 ):;issue: 008:;page 81004-1
    Author(s): Belardinelli, Pierpaolo; Chandrashekar, Abhilash; Alijani, Farbod; Lenci, Stefano
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This study examines the nonlinear dynamics in tapping-mode atomic force microscopy (AFM) with tip-surface interactions that include van der Waals and Derjaguin-Müller-Toporov contact forces. We investigate the periodic ...
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    Special Issue: Selected Papers From 2023 Multibody Systems, Nonlinear Dynamics, and Control Conference 

    Source: Journal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 007:;page 70301-1
    Author(s): Belardinelli, Pierpaolo; D'Souza, Kiran X.; Orzechowski, Grzegorz; Sugiyama, Hiroyuki
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We are delighted to present this special issue featuring selected papers from the 19th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC), held in conjunction with the 2023 ASME International ...
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    Boosting the Model Discovery of Hybrid Dynamical Systems in an Informed Sparse Regression Approach 

    Source: Journal of Computational and Nonlinear Dynamics:;2022:;volume( 017 ):;issue: 005:;page 51007-1
    Author(s): Novelli, Nico; Lenci, Stefano; Belardinelli, Pierpaolo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: We present an efficient data-driven sparse identification of dynamical systems. The work aims at reconstructing the different sets of governing equations and identifying discontinuity surfaces in hybrid systems when the ...
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