State Space Kriging model for emulating complex nonlinear dynamical systems under stochastic excitation

• Published in: Computer methods in applied mechanics and engineering Vol. 442; p. 117987
• Main Authors: Cheng, Kai, Papaioannou, Iason, Lyu, MengZe, Straub, Daniel
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2025
• Subjects: Active learning; Dynamical system; Sparse Kriging; Stochastic excitation; Surrogate model; Dynamical system; Stochastic excitation; Surrogate model; Sparse Kriging; Active learning

Surrogate modeling can drastically reduce the computational efforts when evaluating complex nonlinear dynamical systems subjected to stochastic excitation. However, existing surrogate modeling techniques suffer from the “curse of dimensionality”when emulating complex nonlinear systems due to the dis...