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mNARX - A novel surrogate model for the uncertainty quantification of dynamical systems
(2023)Modelling the dynamic response of civil structures is vital for many applications, including structural health monitoring, reliability analysis and design optimization. These systems often feature responses governed by highly uncertain exogenous excitations, for example, ground motions, wind, or wave loads. To quantify the effects of this uncertainty, many evaluations of the underlying numerical models are usually required. Therefore, ...Other Conference Item -
Reliability analysis of wind turbines using manifold-NARX surrogate models
(2023)Modeling the dynamic response of systems is essential for structural health monitoring, reliability analysis or design optimization. Structures such as wind turbines, tall buildings or long bridges are submitted to transient excitation such as ground motions or wave and wind loads, which inherently showcase aleatory uncertainties, however. To address uncertainty quantification questions such as sensitivity or reliability analyses, many ...Other Conference Item -
A data-driven surrogate model for uncertainty quantification of dynamical systems
(2023)Surrogate models have become a standard tool in uncertainty quantification to emulate the response of real-world systems at a low computational cost. Within the HIPERWIND EU project, we recently proposed a class of surrogate models that can accurately model the time-dependent response of dynamical state- and control system-dependent structures excited by high-dimensional exogenous inputs, such as wind turbines (Dimitrov et al. (2022)). ...Other Conference Item