• Monograph CIMNE (2011). M124

    Abstract
    Shape optimization is a largely studied problem in aeronautics. It can be applied to many disciplines in this field, namely efficiency improvement of engine blades, noise [...]

  • (2018). Computational Methods and Models for Transport. Computational Methods in Applied Sciences. Diez, P. Neittaanmäki, P., Periaux, J., Tuovinen, T., Bräysy, O. (Eds.), Vol. 45, pp. 147-167, Springer, Cham

    Abstract
    Aircraft emission targets worldwide and their climatic effects have put pressure in government agencies, aircraft manufacturers and airlines to reduce water vapour, carbon [...]

  • A. Jarauta, M. Secanell, J. Pons Prats, P. Ryzhakov, S. Idelsohn, E. Oñate
    Int. J. Hydrogen Energy (2015). Vol. 40 (15), pp. 5375-5383 (Preprint)

    Abstract
    Water management is one of the key factors in Proton Exchange Fuel Cell (PEFC) performance. The water produced within the fuel cell is evacuated through the gas channels, [...]

  • J. Pons-Prats, G. Bugeda, F. Zárate, E. Oñate
    Journal of Aerospace Engineering (2011). Vol. 225, (10), pp. 1131-1151

    Abstract
    Uncertainties are a daily issue to deal with in aerospace engineering and applications. Robust optimization methods commonly use a random generation of the inputs and take [...]

  • R. Schmidt, M. Voigt, M. Pisaroni, F. Nobile, P. Leyland, J. Pons Prats, G. Bugeda
    (2019). Hirsch C., Wunsch D., Szumbarski J., Łaniewski-Wołłk Ł., Pons-Prats J. (eds) Uncertainty Management for Robust Industrial Design in Aeronautics. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 140. Springer, Cham

    Abstract
    In this chapter, we present a general introduction to Monte Carlo (MC)-based methods, sampling methodologies, stratification methods, and variance reduction techniques. In [...]

  • N. Benard, J. Pons Prats, J. Periaux, G. Bugeda, P. Braud, J. Bonnet, E. Moreau
    Experiments in Fluids (2016). (preprint) Vol. 57 (2), pp. 1-17

    Abstract
    The potential benefits of active flow control are no more debated. Among many others applications, flow control provides an effective mean for manipulating turbulent separated [...]

  • N. Benard, J. Pons Prats, J. Periaux, J. Bonnet, G. Bugeda
    (2020). Qin N., Periaux J., Bugeda G. (eds) Advances in Effective Flow Separation Control for Aircraft Drag Reduction. Computational Methods in Applied Sciences, vol 52. Springer, Cham

    Abstract
    Since 1947, when Schubauer and Skramstad established the basis of the technology with its revolutionary work about steady state tools and mechanisms for the flow management, [...]

  • A. Jarauta, P. Ryzhakov, M. Secanell, J. Pons Prats, P. Waghmare
    Journal of Power Sources (2016). Vol. 323, pp. 201-212

    Abstract
    An embedded Eulerian-Lagrangian formulation for the simulation of droplet dynamics within a polymer electrolyte fuel cell (PEFC) channel is presented. Air is modeled using [...]

  • N. Mangado, G. Piella, J. Noailly, J. Pons Prats, M. Ballester
    Frontiers in Bioengineering and Biotechnology (2016). Vol. 4, pp. 1-17

    Abstract
    Computational modeling has become a powerful tool in biomedical engineering thanks to its potential to simulate coupled systems. However, real parameters are usually not accurately [...]

  • P. Ryzhakov, A. Jarauta, M. Secanell, J. Pons Prats
    Comp. Part. Mech (2017). Vol. 4, pp. 285-295

    Abstract
    The Particle Finite Element Method (PFEM) is used to develop a model to study two-phase flow in fuel cell gas channels. First, the PFEM is used to develop the model of free [...]

  • R. Schmidt, M. Voigt, M. Pisaroni, F. Nobile, P. Leyland, J. Prats, G. Bugeda
    (2018). Hirsch C., Wunsch D., Szumbarski J., Łaniewski-Wołłk Ł., Pons-Prats J. (eds) Uncertainty Management for Robust Industrial Design in Aeronautics. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 140. Springer, Cham

    Abstract
    The present section will focus on the applicability issues of Monte Carlo-based methods, as well as those methods based on sampling techniques. Special focus will be put on [...]

  • Journal of Aircraft (2016). (preprint) Vol. 54 (2), pp. 807-814

  • J. Pons Prats, M. Coma, J. Betran, X. Roca, G. Bugeda
    (2018). Andrés-Pérez E., González L., Periaux J., Gauger N., Quagliarella D., Giannakoglou K. (eds) Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Computational Methods in Applied Sciences, vol 49. Springer, Cham

    Abstract
    Design optimization has already become an important tool in industry. The benefits are clear, but several drawbacks are still present, being the main one the computational [...]

  • A. Jarauta, P. Ryzhakov, J. Pons Prats, M. Secanell
    Journal of Computational Physics (2018). Vol. 374, pp. 1196-1218

    Abstract
    A Lagrangian incompressible fluid flow model is extended by including an implicit surface tension term in order to analyze droplet dynamics. The Lagrangian framework is adopted [...]

  • N. Mangado, J. Pons Prats, M. Coma, P. Mistrik, G. Piella, M. Ceresa, M. Ballester
    Frontiers in Physiology (2018). Vol. 9, pp. 1-14

    Abstract
    Cochlear implantation (CI) is a complex surgical procedure that restores hearing in patients with severe deafness. The successful outcome of the implanted device relies on [...]

  • (2018). Hirsch C., Wunsch D., Szumbarski J., Łaniewski-Wołłk Ł., Pons-Prats J. (eds) Uncertainty Management for Robust Industrial Design in Aeronautics. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 140. Springer, Cham

    Abstract
    Uncertainty quantification (UQ) is becoming a strategic step in the design phase. Robust Design Optimization (RDO) is the following step. The Technological Readiness Level [...]

  • G. Bugeda, J. Periaux, N. Qin, J. Pons Prats
    (2020). Qin N., Periaux J., Bugeda G. (eds) Advances in Effective Flow Separation Control for Aircraft Drag Reduction. Computational Methods in Applied Sciences, vol 52. Springer, Cham

    Abstract
    The high-level objective of MARS project was to understand the formation and behaviour of turbulent structures which affects the Reynolds stress and skin friction. The aim [...]

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