Results 11 to 20 of about 4,117 (102)
Markov chain Monte Carlo with Gaussian processes for fast parameter estimation and uncertainty quantification in a 1D fluid-dynamics model of the pulmonary circulation. [PDF]
Int J Numer Method Biomed Eng, 2021 Uncertainty quantification in a complex physiological model of the pulmonary circulation can be made computationally feasible by combining state‐of‐the‐art numerical Bayesian methods with statistical emulation using Gaussian Processes. A comparative assessment in terms of computational efficiency of several novel Bayesian (MCMC) algorithms identifies ...
Paun LM, Husmeier D.
europepmc +2 more sources
Water Resources Research, Volume 59, Issue 12, December 2023., 2023 Abstract This article reviews the mathematical formulations of the depth‐integrated advection‐diffusion equation used so far for modeling scalar transport and mixing in shallow environmental flows. It also summarizes the main approaches developed to evaluate the diffusivity tensor in such models.
Emmanuel Mignot +2 more
wiley +1 more source
The Impact of Critical Flutter Velocity in Composite Wind Turbine Blade with Prebend Condition
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 The present work focuses on the effect of flutter in prebend 100 m horizontal axis wind turbine blade (HAWT) within the stability limits. The study was carried out with an advanced beam model for idyllic structure in a DU‐97‐W‐300 cross‐sectional area. A Galerkin type of approach has been applied to derive the equations, and the analysis was performed ...
H. S. Sunil Kumar +8 more
wiley +1 more source
Wind farm control ‐ Part I: A review on control system concepts and structures
IET Renewable Power Generation, Volume 15, Issue 10, Page 2085-2108, 27 July 2021., 2021 Abstract Wind farm control design is a recently new area of research that has rapidly become a key enabler for the development of large wind farm projects and their safe and efficient connection to the power grid. A comprehensive review of the intense research conducted in this area over the last 10 years is presented.
Leif Erik Andersson +4 more
wiley +1 more source
Science and Technology of Nuclear Installations, Volume 2020, Issue 1, 2020., 2020 In this study, the Best Estimate Plus Uncertainty (BEPU) approach is developed for the systematic quantification and propagation of uncertainties in the modelling and simulation of lead‐cooled fast reactors (LFRs) and applied to the demonstration LFR (DLFR) initially investigated by Westinghouse. The impact of nuclear data uncertainties based on ENDF/B‐
Ishita Trivedi +5 more
wiley +1 more source
Fully Parametric Optimization Designs of Wing Components
International Journal of Aerospace Engineering, Volume 2020, Issue 1, 2020., 2020 An optimization technique called shape‐linked optimization, which is different from the traditional optimization method, is introduced in this paper. The research introduces an updated wing optimization design in an effort to adapt to continuous structure changes and shapes while optimizing for a lighter weight of the structure. The changing tendencies
Zhendong Hu +3 more
wiley +1 more source
Using surface sensitivity from mesh adjoint solution for transonic wing drag reduction [PDF]
, 2016 Shock control bumps are a promising device for improving the aerodynamic efficiency of transonic aircraft. From the literature, the peak location and bump height are the most sensitive parameters, therefore the deployment position and size of the shock ...
Hinchliffe, B.L., Qin, N.
core +1 more source
State-of-the-art in aerodynamic shape optimisation methods [PDF]
, 2018 Aerodynamic optimisation has become an indispensable component for any aerodynamic design over the past 60 years, with applications to aircraft, cars, trains, bridges, wind turbines, internal pipe flows, and cavities, among others, and is thus relevant ...
Skinner, S.N., Zare-Behtash, H.
core +1 more source
Quarterly Journal of the Royal Meteorological Society, Volume 144, Issue 713, Page 1218-1256, April 2018 Part B., 2018 Data assimilation methods for convective‐scale numerical weather prediction at operational centres are surveyed. It is demonstrated that the quality of forecasts based on initial data from convective‐scale data assimilation is significantly better than the quality of forecasts from simple downscaling.
Nils Gustafsson +23 more
wiley +1 more source
Nanobeams and AFM Subject to Piezoelectric and Surface Scale Effects
Advances in Mathematical Physics, Volume 2018, Issue 1, 2018., 2018 Vibration dynamics of elastic beams that are used in nanotechnology, such as atomic force microscope modeling and carbon nanotubes, are considered in terms of a fundamental response within a matrix framework. The modeling equations with piezoelectric and surface scale effects are written as a matrix differential equation subject to tip‐sample general ...
Julio Claeyssen +4 more
wiley +1 more source