Cover Image

Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Salavatidezfouli, Sajad, Sheidani, Armin, Bakhshaei, Kabir, Safari, Ali, Hajisharifi, Arash, Stabile, Giovanni, Rozza, Gianluigi
Format:	Preprint
Published:	2023
Subjects:	Numerical Analysis
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine
by: Sheidani, Armin, et al.
Published: (2022)

Stochastic Parameter Prediction in Cardiovascular Problems
by: Bakhshaei, Kabir, et al.
Published: (2024)

A Predictive Surrogate Model for Heat Transfer of an Impinging Jet on a Concave Surface
by: Salavatidezfouli, Sajad, et al.
Published: (2024)

Deep Reinforcement Learning for the Heat Transfer Control of Pulsating Impinging Jets
by: Salavatidezfouli, Sajad, et al.
Published: (2023)

Model Order Reduction of Cerebrovascular Hemodynamics Using POD_Galerkin and Reservoir Computing_based Approach
by: Halder, Rahul, et al.
Published: (2026)

Optimized Bayesian Framework for Inverse Heat Transfer Problems Using Reduced Order Methods
by: Bakhshaei, Kabir, et al.
Published: (2024)

A Deep-Learning Enhanced Gappy Proper Orthogonal Decomposition Method for Conjugate Heat Transfer Problem
by: Hajisharifi, Arash, et al.
Published: (2025)

Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows
by: Hajisharifi, Arash, et al.
Published: (2025)

Deep learning-based reduced-order methods for fast transient dynamics
by: Cracco, Martina, et al.
Published: (2022)

A Hybrid Discretize-then-Project Reduced Order Model for Turbulent Flows on Collocated Grids with Data-Driven Closure
by: Rooholamin, Nadim, et al.
Published: (2026)

Model Reduction for Transport-Dominated Problems via Cross-Correlation Based Snapshot Registration
by: Gowrachari, Harshith, et al.
Published: (2025)

Coupling Physics Informed Neural Networks with External Solvers
by: Halder, Rahul, et al.
Published: (2025)

Data-driven Closure Strategies for Parametrized Reduced Order Models via Deep Operator Networks
by: Ivagnes, Anna, et al.
Published: (2025)

Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms
by: Ivagnes, Anna, et al.
Published: (2024)

Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System
by: Halder, Rahul, et al.
Published: (2023)

A LSTM-enhanced surrogate model to simulate the dynamics of particle-laden fluid systems
by: Hajisharifi, Arash, et al.
Published: (2024)

Non-intrusive model reduction of advection-dominated hyperbolic problems using neural network shift augmented manifold transformation
by: Gowrachari, Harshith, et al.
Published: (2024)

A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach
by: Ngan, Valentin Nkana, et al.
Published: (2023)

An efficient hyper reduced-order model for segregated solvers for geometrical parametrization problems
by: Ngan, Valentin Nkana, et al.
Published: (2026)

A hybrid reduced-order model for segregated fluid-structure interaction solvers in an ALE approach at high Reynolds number
by: Ngan, Valentin Nkana, et al.
Published: (2024)

ROM for Viscous, Incompressible Flow in Polygons -- exponential $n$-width bounds and convergence rate
by: Romor, Francesco, et al.
Published: (2025)

Non-Intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: a Comparison and Perspectives
by: Hijazi, Saddam, et al.
Published: (2019)

A segregated reduced order model of a pressure-based solver for turbulent compressible flows
by: Zancanaro, Matteo, et al.
Published: (2022)

Reservoir computing based predictive reduced order model for steel grade intermixing in an industrial continuous casting tundish
by: Gowrachari, Harshith, et al.
Published: (2025)

Data-Driven POD-Galerkin Reduced Order Model for Turbulent Flows
by: Hijazi, Saddam, et al.
Published: (2019)

Mesh-Informed Reduced Order Models for Aneurysm Rupture Risk Prediction
by: D'Inverno, Giuseppe Alessio, et al.
Published: (2024)

A new data-driven energy-stable Evolve-Filter-Relax model for turbulent flow simulation
by: Ivagnes, Anna, et al.
Published: (2025)

Generative Models for Parameter Space Reduction applied to Reduced Order Modelling
by: Padula, Guglielmo, et al.
Published: (2025)

Dual guidance: ROM-informed field reconstruction with generative models
by: Salavatidezfouli, Sajad, et al.
Published: (2025)

Enhancing the accuracy of under-resolved numerical simulations of atmospheric flows with super resolution
by: Sheidani, Armin, et al.
Published: (2026)

Gaussian process approach within a data-driven POD framework for fluid dynamics engineering problems
by: Ortali, Giulio, et al.
Published: (2020)

Bifurcation curve detection with deflation for multiparametric PDEs
by: Kumar, Nitin, et al.
Published: (2026)

Reinforcement Learning-Based Filters for Convection-Dominated Flows: Reference-Free and Reference-Guided Training
by: Ivagnes, Anna, et al.
Published: (2026)

A brief review of Reduced Order Models using intrusive and non-intrusive techniques
by: Padula, Guglielmo, et al.
Published: (2024)

Jacobi Convolution Series for Petrov–Galerkin Scheme and General Fractional Calculus of Arbitrary Order Over Finite Interval
by: Pavan Pranjivan Mehta, et al.
Published: (2025)

Enhancing the Efficiency of Horizontal Axis Wind Turbines Through Optimization of Blade Parameters
by: Hossein Seifi Davari, et al.
Published: (2024)

Nonlinear reduction strategies for data compression: a comprehensive comparison from diffusion to advection problems
by: Gonnella, Isabella Carla, et al.
Published: (2025)

A local approach to parameter space reduction for regression and classification tasks
by: Romor, Francesco, et al.
Published: (2021)

Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation
by: Ivagnes, Anna, et al.
Published: (2022)

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs
by: Tomada, Lorenzo, et al.
Published: (2026)