Floating offshore wind turbines: Current status and future prospects

M Barooni, T Ashuri, D Velioglu Sogut, S Wood… - Energies, 2022 - mdpi.com
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 …

A review on design of experiments and surrogate models in aircraft real-time and many-query aerodynamic analyses

R Yondo, E Andrés, E Valero - Progress in aerospace sciences, 2018 - Elsevier
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 …

[HTML][HTML] Methods for enabling real-time analysis in digital twins: A literature review

MS Es-haghi, C Anitescu, T Rabczuk - Computers & Structures, 2024 - Elsevier
This paper presents a literature review on methods for enabling real-time analysis in digital
twins, which are virtual models of physical systems. The advantages of digital twins are …

Data-enabled physics-informed machine learning for reduced-order modeling digital twin: application to nuclear reactor physics

H Gong, S Cheng, Z Chen, Q Li - Nuclear Science and Engineering, 2022 - Taylor & Francis
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 …

A short review on model order reduction based on proper generalized decomposition

F Chinesta, P Ladeveze, E Cueto - Archives of Computational Methods in …, 2011 - Springer
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 …

PGD-Based Computational Vademecum for Efficient Design, Optimization and Control

F Chinesta, A Leygue, F Bordeu, JV Aguado… - … methods in Engineering, 2013 - Springer
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 …

Physics-informed deep learning model in wind turbine response prediction

X Li, W Zhang - Renewable Energy, 2022 - Elsevier
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 …

Parameter identification and state estimation for nuclear reactor operation digital twin

H Gong, T Zhu, Z Chen, Y Wan, Q Li - Annals of Nuclear Energy, 2023 - Elsevier
Abstract Reactor Operation Digital Twin (RODT) is now receiving increasing attention and
investment in nuclear engineering domain. A prototype of a RODT was first brought out by …

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 …

[PDF][PDF] Model order reduction

F Chinesta, A Huerta, G Rozza… - Encyclopedia of …, 2016 - ww2.lacan.upc.edu
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 …