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Titlebook: Nonlinear Structures & Systems, Vol. 1; Proceedings of the 4 Matthew R.W. Brake,Ludovic Renson,Paolo Tiso Conference proceedings 2024 The S

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書目名稱Nonlinear Structures & Systems, Vol. 1
副標題Proceedings of the 4
編輯Matthew R.W. Brake,Ludovic Renson,Paolo Tiso
視頻videohttp://file.papertrans.cn/670/669682/669682.mp4
叢書名稱Conference Proceedings of the Society for Experimental Mechanics Series
圖書封面Titlebook: Nonlinear Structures & Systems, Vol. 1; Proceedings of the 4 Matthew R.W. Brake,Ludovic Renson,Paolo Tiso Conference proceedings 2024 The S
描述.Nonlinear Structures & Systems, Volume 1: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, .the first volume of ten from the Conference brings together contributions to this important area of research and engineering.? The collection presents early findings and case studies on fundamental and applied aspects of Nonlinear Dynamics, including papers on:.. .Experimental Nonlinear Dynamics. .Jointed Structures: Identification, Mechanics, Dynamics. .Nonlinear Damping. .Nonlinear Modeling and Simulation. .Nonlinear Reduced-Order Modeling. .Nonlinearity and System Identification?..
出版日期Conference proceedings 2024
關(guān)鍵詞Conference Proceedings; Structural mechanics; structural dynamics; civil engineering; society of experim
版次1
doihttps://doi.org/10.1007/978-3-031-69409-7
isbn_softcover978-3-031-69411-0
isbn_ebook978-3-031-69409-7Series ISSN 2191-5644 Series E-ISSN 2191-5652
issn_series 2191-5644
copyrightThe Society for Experimental Mechanics, Inc. 2024
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Explanation for Oscillating Backbone Curves Based on Fractional Spectral Submanifolds,umerical simulations. Oscillations become more apparent, as the initial condition of decaying trajectory moves farther away from the primary SSM, which is indeed incapable of reproducing this phenomenon. Conversely, a new class of manifolds, fractional (or secondary) SSMs, offer a clear explanation for this observation.
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A Tutorial on Nonlinear Model Order Reduction,od are (i) the change of coordinates and (ii) the reduced dynamics in the new coordinate system. Specifically, nonlinear methods differ from linear-based techniques, as they rely on a nonlinear change of coordinates rather than the addition of new vectors to enlarge the linear projection basis.
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