@inproceedings{5b3c923e47fb4dae98d9bfb651e5e4e2,
title = "Simulation-free hyper-reduced models for geometrically nonlinear structural dynamics",
abstract = "We present a variant of the Energy Conserving Sampling and Weighting (ECSW) method that minimizes the offline cost associated to the construction of reduced order models of FE discretized geometrically nonlinear structural dynamics problems. The training sets required by ECSW are obtained by lifting linear modal analysis responses on a quadratic manifold generated with modal derivatives. The resorting on expensive POD of the full response is completely avoided. The method is particularly suited for the dynamic analysis of flexible airframes featuring geometric nonlinearities.",
keywords = "Geometric nonlinearity, Hyper-reduction, Model order reduction, Simulation-free training, Structural dynamics",
author = "S. Jain and P. Tiso",
year = "2017",
language = "English",
series = "17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017",
publisher = "International Forum on Aeroelasticity and Structural Dynamics (IFASD)",
booktitle = "17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017",
note = "17th International Forum on Aeroelasticity and Structural Dynamics, IFASD 2017 ; Conference date: 25-06-2017 Through 28-06-2017",
}