Advances in bayesian probabilistic modeling for industrial applications
Industrial applications frequently pose a notorious challenge for state-of-the-art methods in
the contexts of optimization, designing experiments and modeling unknown physical …
the contexts of optimization, designing experiments and modeling unknown physical …
High-dimensional Surrogate Modeling for Image Data with Nonlinear Dimension Reduction
This work presents an efficient end-to-end dimensionality reduction based surrogate
modeling framework that maps high-dimensional image-like input to high-dimensional …
modeling framework that maps high-dimensional image-like input to high-dimensional …
[PDF][PDF] Dynamic Analysis of Composite Wind Turbine Blades as Beams: An Analytical and Numerical Study. Vibration 2021, 4, 1–15
M Tüfekci, ÖE Genel, A Tatar, E Tüfekci - 2020 - ngc.digitallibrary.co.in
The effectiveness of vibration-reducing (VR) gloves is conventionally assessed based on the
vibration transmissibility of the gloves. This study proposed a method for analyzing and …
vibration transmissibility of the gloves. This study proposed a method for analyzing and …
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems
Industrial dynamical systems often exhibit multi-scale responses due to material
heterogeneity and complex operation conditions. The smallest length-scale of the systems …
heterogeneity and complex operation conditions. The smallest length-scale of the systems …
[PDF][PDF] Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems. Vibration 2021, 4, 49–63
Industrial dynamical systems often exhibit multi-scale responses due to material
heterogeneity and complex operation conditions. The smallest length-scale of the systems …
heterogeneity and complex operation conditions. The smallest length-scale of the systems …