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Shobhit Jain

Researcher at ETH Zurich

Publications -  20
Citations -  377

Shobhit Jain is an academic researcher from ETH Zurich. The author has contributed to research in topics: Nonlinear system & Reduction (complexity). The author has an hindex of 7, co-authored 18 publications receiving 225 citations.

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A quadratic manifold for model order reduction of nonlinear structural dynamics

TL;DR: In this paper, the authors describe the use of a quadratic manifold for the model order reduction of structural dynamics problems featuring geometric nonlinearities, where the manifold is tangent to a subspace spanned by the most relevant vibration modes, and its curvature is provided by modal derivatives obtained by sensitivity analysis.
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Exact nonlinear model reduction for a von Kármán beam: Slow-fast decomposition and spectral submanifolds

TL;DR: This work applies two recently formulated mathematical techniques, Slow-Fast Decomposition (SFD) and Spectral Submanifold (SSM) reduction, to a von Karman beam with geometric nonlinearities and viscoelastic damping to results in a drastic reduction of the finite-element beam model to a one-degree-of freedom nonlinear oscillator.
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Generalization of quadratic manifolds for reduced order modeling of nonlinear structural dynamics

TL;DR: The potential of the quadratic manifold approach is investigated in a numerical study, where several variations of the approach are compared on different examples, giving a clear indication of where the proposed approach is applicable.
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Model reduction to spectral submanifolds and forced-response calculation in high-dimensional mechanical systems.

TL;DR: In this paper, spectral submanifold (SSM) theory is used to extract forced response curves without any numerical simulation in high-degree-of-freedom, periodically forced mechanical systems.
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How to compute invariant manifolds and their reduced dynamics in high-dimensional finite element models

TL;DR: In this paper, the authors developed methods for computing invariant manifolds and their reduced dynamics in very high-dimensional nonlinear systems arising from spatial discretization of the governing partial differential equations.