Bayesian optimal design of experiments for inferring the statistical expectation of expensive black-box functions
Bayesian optimal design of experiments (BODEs) have been successful in acquiring
information about a quantity of interest (QoI) which depends on a black-box function. BODE …
information about a quantity of interest (QoI) which depends on a black-box function. BODE …
Scalable fully Bayesian Gaussian process modeling and calibration with adaptive sequential Monte Carlo for industrial applications
Gaussian process (GP) regression or kriging has been extensively applied in the
engineering literature for the purposes of building a cheap-to-evaluate surrogate, within the …
engineering literature for the purposes of building a cheap-to-evaluate surrogate, within the …
Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions
The cluster expansion is a popular surrogate model for alloy modeling to avoid costly
quantum mechanical simulations. As its practical implementations require approximations …
quantum mechanical simulations. As its practical implementations require approximations …
Transfer Learning Based Modeling of Industrial Turbine Airfoil Characteristics
View Video Presentation: https://doi. org/10.2514/6.2022-2105. vid Aerodynamic design of
turbine blades of gas turbines is a very complex process which involves design space …
turbine blades of gas turbines is a very complex process which involves design space …
Probabilistic transfer learning through ensemble probabilistic deep neural network
View Video Presentation: https://doi. org/10.2514/6.2023-1479. vid Design optimization has
been a long standing endeavor of engineers and designers. With the advent of machine …
been a long standing endeavor of engineers and designers. With the advent of machine …
An exploitation-enhanced multi-objective efficient global optimization algorithm for expensive aerodynamic shape optimizations
F Deng, N Qin - Proceedings of the Institution of Mechanical …, 2022 - journals.sagepub.com
The traditional multi-objective efficient global optimization (EGO) algorithms have been
hybridized and adapted to solving the expensive aerodynamic shape optimization problems …
hybridized and adapted to solving the expensive aerodynamic shape optimization problems …
Towards scalable gaussian process modeling
P Pandita, J Kristensen, L Wang - … and Information in …, 2019 - asmedigitalcollection.asme.org
Numerous engineering problems of interest to the industry are often characterized by
expensive black-box objective function evaluations. These objective functions could be …
expensive black-box objective function evaluations. These objective functions could be …
[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 …
Solid-Solution Strengthening and Suzuki Segregation in CO-and NI-Based Alloys
D Wen - 2022 - search.proquest.com
Co and Ni are two major elements in high temperature structural alloys that include
superalloys for turbine engines and hard metals for cutting tools. The recent development of …
superalloys for turbine engines and hard metals for cutting tools. The recent development of …