Floating offshore wind turbines: Current status and future prospects
Offshore wind energy is a sustainable renewable energy source that is acquired by
harnessing the force of the wind offshore, where the absence of obstructions allows the wind …
harnessing the force of the wind offshore, where the absence of obstructions allows the wind …
A survey of projection-based model reduction methods for parametric dynamical systems
Numerical simulation of large-scale dynamical systems plays a fundamental role in studying
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
a wide range of complex physical phenomena; however, the inherent large-scale nature of …
Physics‐informed deep neural networks for learning parameters and constitutive relationships in subsurface flow problems
We present a physics‐informed deep neural network (DNN) method for estimating hydraulic
conductivity in saturated and unsaturated flows governed by Darcy's law. For saturated flow …
conductivity in saturated and unsaturated flows governed by Darcy's law. For saturated flow …
Reduced basis methods for time-dependent problems
Numerical simulation of parametrized differential equations is of crucial importance in the
study of real-world phenomena in applied science and engineering. Computational methods …
study of real-world phenomena in applied science and engineering. Computational methods …
[書籍][B] Uncertainty quantification: theory, implementation, and applications
RC Smith - 2024 - SIAM
Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …
engineering, and biological applications using mechanistic models. From a broad …
Learning physics-based models from data: perspectives from inverse problems and model reduction
This article addresses the inference of physics models from data, from the perspectives of
inverse problems and model reduction. These fields develop formulations that integrate data …
inverse problems and model reduction. These fields develop formulations that integrate data …
A review of surrogate models and their application to groundwater modeling
The spatially and temporally variable parameters and inputs to complex groundwater
models typically result in long runtimes which hinder comprehensive calibration, sensitivity …
models typically result in long runtimes which hinder comprehensive calibration, sensitivity …
[書籍][B] Active subspaces: Emerging ideas for dimension reduction in parameter studies
PG Constantine - 2015 - SIAM
Parameter studies are everywhere in computational science. Complex engineering
simulations must run several times with different inputs to effectively study the relationships …
simulations must run several times with different inputs to effectively study the relationships …
A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses
Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
order) aerodynamic models or flight testing are some of the fundamental but complex steps …
Active subspace methods in theory and practice: applications to kriging surfaces
Many multivariate functions in engineering models vary primarily along a few directions in
the space of input parameters. When these directions correspond to coordinate directions …
the space of input parameters. When these directions correspond to coordinate directions …