Felix Nieto

Dr. Felix Nieto

School of Civil Engineering - Centre for Technological Innovations in Construction and Civil Engineering (CITEEC), University of A Coruña UDC, 15001 Galicia, Spain

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2020 in Journal of Wind Engineering and Industrial Aerodynamics
Verified
Journal Article
Closed access
IKIbuki Kusano
Ibuki Kusano
MMMiguel Cid Montoya
Miguel Cid Montoya
ABAitor Baldomir
Aitor Baldomir
Felix NietoFelix Nieto
Felix Nieto
JJJosé Ángel Jurado
José Ángel Jurado
SHSantiago Hernández
Santiago Hernández

1 January 2015 in Engineering Applications of Computational Fluid Mechanics
Verified
Journal Article
Open access
Felix NietoFelix Nieto
Felix Nieto
DHD.M. Hargreaves
D.M. Hargreaves
John OwenJohn Owen
John Owen
SHSantiago Hernández
Santiago Hernández
In this work the practical applicability of a 2D URANS approach adopting a block structured mesh and Menter's SST k-ω turbulence model in fluid-structure interaction (FSI) problems is studied using as a test case a ratio B/H = 4 rectangular cylinder. The vortex-induced vibration (VIV) and torsional flutter phenomena are analyzed based on the computation of the out-of-phase and in-phase components of the forced frequency component of lift and moment coefficients when the section is forced to periodically oscillate both in heave and pitch degrees of freedom. Also the flutter derivatives are evaluated numerically from the same forced oscillation simulations. A good general agreement has been found with both experimental and numerical data reported in the literature. This highlights the benefits of this relatively simple and straightforward approach. These methods, once their feasibility has been checked, are ready to use in parametric design of bridge deck sections and, at a later stage, in the shape optimization of deck girders considering aeroelastic constraints.

Verified
Journal Article
Open access
PDF file
PPPoorya Poozesh
Poorya Poozesh
Felix NietoFelix Nieto
Felix Nieto
PRPedro Manuel Fernández Rodriguez
Pedro Manuel Fernández Rodriguez
RPRosa Rios Prado
Rosa Rios Prado
VCVicente Díaz Casás
Vicente Díaz Casás
Biofouling, the accumulation of marine organisms on submerged surfaces, presents a significant challenge to the design, performance, and maintenance of offshore wind turbines (OWTs). This work synthesizes current knowledge on the physical and operational impacts of biofouling on OWT marine substructures, with a particular focus on how it alters hydrodynamic loading, increases drag and mass, and affects fatigue and structural response. Drawing from experimental studies, computational modeling, and real-world observations, this paper highlights the critical need to integrate biofouling effects into design practices. Additionally, emerging mitigation strategies are explored, including advanced antifouling materials and AI-driven monitoring systems, which offer promising solutions for long-term biofouling management. By addressing both engineering and ecological perspectives, this paper underscores the importance of developing robust, adaptive approaches to biofouling that can support the durability, reliability, and environmental sustainability of the offshore wind industry.

17 October 2008 in Structural and Multidisciplinary Optimization
Verified
Journal Article
Closed access
PDF file
Felix NietoFelix Nieto
Felix Nieto
SHSantiago Hernández
Santiago Hernández
JJJ. Á. Jurado
J. Á. Jurado

8 February 2025 in Journal of Wind Engineering and Industrial Aerodynamics
Verified
Journal Article
Open access
AAAntonio Alvarez
Antonio Alvarez
Felix NietoFelix Nieto
Felix Nieto

1 September 2022 in The Structural Design of Tall and Special Buildings
Verified
Journal Article
Open access
Felix NietoFelix Nieto
Felix Nieto
MMMiguel Cid Montoya
Miguel Cid Montoya
SHSantiago Hernández
Santiago Hernández
Summary: Shape optimization is an effective tool to improve the aerodynamic performance of tall buildings by introducing minor modifications to the original project. Nevertheless, economic criteria demand efficient cross sections aiming at maximizing the building's profitability. These two contradictory criteria are commonly handled by adopting multi‐objective optimization approaches seeking the definition of Pareto fronts. However, the aerodynamic nonlinear features of low‐aspect‐ratio cross sections typically adopted in architectural practice can cause wind‐induced acceleration response surfaces over the considered design domain with multiple local minima that eventually lead to discontinuous Pareto fronts with non‐convex regions. This study delves into this problem and proposes a design framework that effectively combines the reduced basis method with multi‐objective optimization techniques to carry out the aerodynamic shape optimization using surrogates trained with CFD simulations. The ability of the optimization strategy to properly define the non‐convex regions of discontinuous Pareto fronts is successfully leveraged by adopting the weighted min–max method.