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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https://doi.org/10.1007/978-3-031-69409-7Conference Proceedings; Structural mechanics; structural dynamics; civil engineering; society of experim

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Nonlinear Structures & Systems, Vol. 1978-3-031-69409-7Series ISSN 2191-5644 Series E-ISSN 2191-5652

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Nonlinear Normal Modes of Highly Flexible Beam Structures Modelled Under the , Lie Group Framework,ng and pseudo-arclength continuation. Nonlinear normal modes (NNMs) are calculated for a cantilever beam and are compared to those obtained using a reference displacement-based finite element (FE) model with von Kàrmàn strains. Some specificities of the shooting algorithm which are unique to the underlying Lie group framework are discussed.

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Experimental Bifurcation Forecasting Using the Transient Response of an Airfoil in a Wind Tunnel, of a proposed data-driven forecasting method for predicting flutter and its bifurcation diagrams in a 2-degree-of-freedom experimental airfoil. The bifurcation forecasting approach, relying on measurements collected in safe pre-flutter regime, offers insights into post-bifurcation dynamics without

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The Impact of Nonunique Residual Tractions on the Nonlinear Dynamics of Jointed Structures: Probabi excitation level with the closed-form expression governing the amplitude-frequency curves. The outputs are also parameterized by uncertain contact parameters, i.e., coefficient of friction and contact stiffness, to compare which parameter exerts a greater impact on the observed variability in the s

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Incorporating Implicit Condensation into Data-Driven Reduced-Order Models for Nonlinear Structures,duced coordinate system (typically a subset of the vibration modes). However, the generation of reliable NIROMs remains an active challenge. This chapter combines the projection-based strategy adopted by the implicit condensation method with recent results from the field of machine learning to creat

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