[HTML][HTML] 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 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 …
A short review on model order reduction based on proper generalized decomposition
This paper revisits a new model reduction methodology based on the use of separated
representations, the so called Proper Generalized Decomposition—PGD. Space and time …
representations, the so called Proper Generalized Decomposition—PGD. Space and time …
Data-enabled physics-informed machine learning for reduced-order modeling digital twin: application to nuclear reactor physics
This paper proposes an approach that combines reduced-order models with machine
learning in order to create physics-informed digital twins to predict high-dimensional output …
learning in order to create physics-informed digital twins to predict high-dimensional output …
PGD-Based Computational Vademecum for Efficient Design, Optimization and Control
In this paper we are addressing a new paradigm in the field of simulation-based engineering
sciences (SBES) to face the challenges posed by current ICT technologies. Despite the …
sciences (SBES) to face the challenges posed by current ICT technologies. Despite the …
Physics-informed deep learning model in wind turbine response prediction
Subjected to strong cyclic wind and wave loads, wind turbines could experience severe
fatigue damages and possibly fail to function normally due to accumulated damages at …
fatigue damages and possibly fail to function normally due to accumulated damages at …
A parameterized‐background data‐weak approach to variational data assimilation: formulation, analysis, and application to acoustics
Y Maday, AT Patera, JD Penn… - International Journal for …, 2015 - Wiley Online Library
We present a parameterized‐background data‐weak (PBDW) formulation of the variational
data assimilation (state estimation) problem for systems modeled by partial differential …
data assimilation (state estimation) problem for systems modeled by partial differential …
[PDF][PDF] Model order reduction
This chapter presents an overview of Model Order Reduction–a new paradigm in the field of
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
simulationbased engineering sciences, and one that can tackle the challenges and leverage …
Model reduction methods
This chapter presents an overview of model order reduction–a new paradigm in the field of
simulation‐based engineering sciences, and one that can tackle the challenges and …
simulation‐based engineering sciences, and one that can tackle the challenges and …
Non-intrusive low-rank separated approximation of high-dimensional stochastic models
A Doostan, AA Validi, G Iaccarino - Computer Methods in Applied …, 2013 - Elsevier
This work proposes a sampling-based (non-intrusive) approach within the context of low-
rank separated representations to tackle the issue of curse-of-dimensionality associated with …
rank separated representations to tackle the issue of curse-of-dimensionality associated with …