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

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Gum-Disease

Creating Data-Driven Reduced-Order Models for Nonlinear Vibration via Physics-Informed Neural Netwoent cases, but this approach has previously been demonstrated to be overly dependent on the scale of these characteristics, a point that has prevented wider application. In this work, initial steps are taken to utilise physics-informed recurrent neural networks (RNNs) in place of the static step, al

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Spina-Bifida

仇恨

On the Harmonic Balance Method Augmented with Nonsmooth Basis Functions for Contact/Impact Problemsh dynamical systems. Rather than requiring many harmonics to capture a system response using classical, smooth Fourier terms, the frequency domain discretization could be captured by a combination of a finite Fourier series supplemented with nonsmooth basis functions to improve convergence of the so

脆弱吧

Modeling Nonlinear Structures Using Physics-Guided, Machine-Learnt Models, where a neural network is used to directly model the Lagrangian function of the system. To enforce physical consistency, the Euler-Lagrange equations of motion of the system are obtained by differentiating this neural network using automatic differentiation techniques. The potential of this modelin

BOAST

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Simulating Nonlinear Beating Phenomena Induced by Dry Friction in Dynamic Systems,determine system model variables that may simulate the self-excitation and beat phenomena observed in the structural dynamics. Beat phenomena may also be a result of the existence of two or more closely separated damped natural frequencies. We also investigate the degree to which self-excitation in

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Strategies for Improving the Comparison of Frequency Response Functions with Similarity Metrics,pectra can be applied to make further comparisons. This paper seeks to verify the new methods presented in Manring et al. (J Sound Vib 539:117255, 2022) using a modified experiment and proposes a windowing method as another tool for comparing similar transfer functions. The authors investigate these