Genetically aerodynamic optimization of the nose shape of a high-speed train entering a tunnel J Munoz-Paniagua, J García, A Crespo Journal of wind engineering and industrial aerodynamics 130, 48-61, 2014 | 132 | 2014 |
Evaluation of RANS, SAS and IDDES models for the simulation of the flow around a high-speed train subjected to crosswind J Munoz-Paniagua, J García, B Lehugeur Journal of Wind Engineering and Industrial Aerodynamics 171, 50-66, 2017 | 80 | 2017 |
Numerical study of the influence of synthetic turbulent inflow conditions on the aerodynamics of a train J García, J Muñoz-Paniagua, A Jiménez, E Migoya, A Crespo Journal of Fluids and Structures 56, 134-151, 2015 | 60 | 2015 |
Aerodynamic surrogate-based optimization of the nose shape of a high-speed train for crosswind and passing-by scenarios J Muñoz-Paniagua, J García Journal of Wind Engineering and Industrial Aerodynamics 184, 139-152, 2019 | 51 | 2019 |
Numerical study of the aerodynamics of a full scale train under turbulent wind conditions, including surface roughness effects J García, J Muñoz-Paniagua, A Crespo Journal of Fluids and Structures 74, 1-18, 2017 | 45 | 2017 |
Aerodynamic drag optimization of a high-speed train J Munoz-Paniagua, J García Journal of Wind Engineering and Industrial Aerodynamics 204, 104215, 2020 | 40 | 2020 |
Boundary-condition analysis of an idealized left atrium model J Dueñas-Pamplona, J Sierra-Pallares, J García, F Castro, ... Annals of Biomedical Engineering 49 (6), 1507-1520, 2021 | 19 | 2021 |
Morphing the left atrium geometry: A deeper insight into blood stasis within the left atrial appendage J Dueñas-Pamplona, JG Garcia, F Castro, J Munoz-Paniagua, J Goicolea, ... Applied Mathematical Modelling 108, 27-45, 2022 | 15 | 2022 |
A second-generation URANS model (STRUCT-å) applied to simplified freight trains J García, J Muñoz-Paniagua, L Xu, E Baglietto Journal of Wind Engineering and Industrial Aerodynamics 205, 104327, 2020 | 12 | 2020 |
Aerodynamic optimization of high-speed trains nose using a genetic algorithm and artificial neural network J Muñoz Paniagua, J García García, A Crespo Martínez Industriales, 2011 | 9 | 2011 |
Multi-objective aerodynamic optimization of high-speed trains in tunnels J Muñoz Paniagua, J García García, A Crespo Martínez Springer, 2013 | 4 | 2013 |
Estimation of degradation velocity of biocompatible damaged stents due to blood flow J Dueñas-Pamplona, J García, F Castro, J Muñoz-Paniagua, ... IEEE Transactions on Biomedical Engineering 68 (12), 3525-3533, 2021 | 3 | 2021 |
Aerodynamic optimization of the ICE2 high-speed train nose using a genetic algorithm and metamodels J Muñoz Paniagua, J García García, A Crespo Martínez, S Krajnovic Civil-Comp. Press., 2012 | 2 | 2012 |
Component-Based Model to Predict Aerodynamic Noise from High-Speed Train Bogies T Tonai, E Latorre Iglesias, T Uda, T Kitagawa, J Muñoz Paniagua, ... International Workshop on Railway Noise, 199-208, 2022 | 1 | 2022 |
Surrogate-based optimization of the nose shape of a train subjected to crosswind J Muñoz Paniagua, J García García, A Crespo Martínez Industriales, 2014 | 1 | 2014 |
On the feasibility of a component-based approach to predict aerodynamic noise from high-speed train bogies E Latorre Iglesias, D Thompson, J Muñoz Paniagua, J García García Available at SSRN 4286003, 2024 | | 2024 |
Improved Shape Optimization through effective resolution of turbulence E Baglietto, J Garcia, J Muñoz-Paniagua Third International Conference in numerical and experimental aerodynamics of …, 2018 | | 2018 |
Aerodynamic Optimization of the Nose Shape of a High-speed Train J Muñoz Paniagua Industriales, 2014 | | 2014 |
Numerical Simulation of the Aerodynamic Behavior of High Velocity Trains under Synthetic Crosswinds of Different Shear and Turbulence Characteristics J García García, J Muñoz Paniagua, A Jiménez, E Migoya Valor, ... Civil-Comp Press, 2014 | | 2014 |
Aerodynamic shape optimization of the nose of a high-speed train subjected to crosswind conditions J Muñoz Paniagua, J García García, A Crespo Martínez Industriales, 2014 | | 2014 |