Jordi Pons Prats Profile : Scipedia

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Jordi Pons-Prats' publications

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This is the collection of the publications of Jordi Pons-Prats, researcher and leader of the Aerospace Engineering group at CIMNE.

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CM3-2017 - Computation and Big Data in Transport

Scope

In the upcoming decade the integration of Advanced Multidisciplinary Simulation (MS), Optimization (MO) and Big Data Analysis (MBDA) tools will have a major impact on systemic procedures in both industrial and societal environments linked to Smart, Green and Integrated Transport [...]

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Presentations to the Open Workshop PADRI2017 - Platform for Aircraft Drag Reduction Innovation

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About PADRI-2017

The main objective of the Open Workshop PADRI2017 (http://congress.cimne.com/padri-2017/frontal/default.asp) is to find candidate flow control technologies and optimization strategies that can minimize shock wave and interference drag in the strut-wing junction region in cruise condition.

The ECCOMAS Industry Interest Group (IIG) is actively promoting the ECCOMAS Advanced Workshop PADRI.
The high level objective of this workshop is to strengthen the ECCOMAS industrial group and to develop contact between ECCOMAS and the DGs of the European Commission.

PADRI2017 proposes a test case reproducing, even at low velocity, a typical shock wave pattern in the region of the junction strut-wing of an aircraft. In order to simplify the problem, some constraints have been setup, so that the geometrical modifications should be confined to a defined small region around the strut-wing junction, and the objective function is clearly explained in order to ensure computational data results comparisons across all the technology solutions and participants.
A computational platform will allow all participants to compare on outputs and formats selected by organizers their respective data results installed on a Database with respect to the reference (baseline) and to show the benefit of the chosen flow control technology.

The workshop intends to contribute to fill the gap between the different technology models and their application.

Technical Description of the Test Case

Strut wing test case is based on an unformatted geometry of an aircraft with upper wing, which is supported by a strut. The geometry includes the entire aircraft with tail and empennage, but simplifications can be applied if necessary, discarding the empennage and tail, or considering symmetry.
The flow conditions are summarized as: Mach 0.72, angle of attack 1º, Reynolds number over length 7.1x106 m-1, cruise altitude 30000ft on an atmosphere ISA+0 with pressure 30089.59 Pa, and temperature 228.71K.

Mach= 0.72
Angle of attack= 1°
Reynolds/length= 7.1.106m1
Altitude= 30000 ft
Atmosphere= ISA+0
Pressure= 30089.59 Pa
Temperature= 228.71 K

The main focus should be put on the region of the strut-wing junction in the mentioned cruise conditions, analyzing the shock wave and the interference drag in this particular region.
The definition of the best flow control device, which helps to diminish the shock and the drag, is the main objective and should be demonstrated through the analysis of the simulation results.

Conference organized by CIMNE Congress Bureau.

Scope

About PADRI-2017

The main objective of the Open Workshop PADRI2017 (http://congress.cimne.com/padri-2017/frontal/default.asp) is to find candidate flow control technologies and optimization [...]

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Documents published in Scipedia

An implicit surface tension model for the analysis of droplet dynamics
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 to model the fluid and track its boundary, and the implicit surface tension term is used to introduce the appropriate forces at the domain boundary. The introduction of the tangent matrix corresponding to the surface tension force term ensures enhanced stability of the derived model. Static, dynamic and sessile droplet examples are simulated to validate the model and evaluate its performance. Numerical results are capable of reproducing the pressure distribution in droplets, and the advancing and receding contact angles evolution for droplets in varying substrates and inclined planes. The model is stable even at time steps up to 20 times larger than previously reported in literature and achieves first and second order convergence in time and space, respectively. The present implicit surface tension implementation is applicable to any model where the interface is represented by a moving boundary mesh.
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 [...]
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Computational evaluation of cochlear implant surgery outcomes accounting for uncertainty and parameter variability
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 a group of factors, some of them unpredictable or difficult to control. Uncertainties on the electrode array position and the electrical properties of the bone make it difficult to accurately compute the current propagation delivered by the implant and the resulting neural activation. In this context, we use uncertainty quantification methods to explore how these uncertainties propagate through all the stages of CI computational simulations. To this end, we employ an automatic framework, encompassing from the finite element generation of CI models to the assessment of the neural response induced by the implant stimulation. To estimate the confidence intervals of the simulated neural response, we propose two approaches. First, we encode the variability of the cochlear morphology among the population through a statistical shape model. This allows us to generate a population of virtual patients using Monte Carlo sampling and to assign to each of them a set of parameter values according to a statistical distribution. The framework is implemented and parallelized in a High Throughput Computing environment that enables to maximize the available computing resources. Secondly, we perform a patient-specific study to evaluate the computed neural response to seek the optimal post-implantation stimulus levels. Considering a single cochlear morphology, the uncertainty in tissue electrical resistivity and surgical insertion parameters is propagated using the Probabilistic Collocation method, which reduces the number of samples to evaluate. Results show that bone resistivity has the highest influence on CI outcomes. In conjunction with the variability of the cochlear length, worst outcomes are obtained for small cochleae with high resistivity values. However, the effect of the surgical insertion length on the CI outcomes could not be clearly observed, since its impact may be concealed by the other considered parameters. Whereas the Monte Carlo approach implies a high computational cost, Probabilistic Collocation presents a suitable trade-off between precision and computational time. Results suggest that the proposed framework has a great potential to help in both surgical planning decisions and in the audiological setting process.
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 [...]
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Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
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 known, and variability is inherent in living organisms. To cope with this, probabilistic tools, statistical analysis and stochastic approaches have been used. This article aims to review the analysis of uncertainty and variability in the context of finite element modeling in biomedical engineering. Characterization techniques and propagation methods are presented, as well as examples of their applications in biomedical finite element simulations. Uncertainty propagation methods, both non-intrusive and intrusive, are described. Finally, pros and cons of the different approaches and their use in the scientific community are presented. This leads us to identify future directions for research and methodological development of uncertainty modeling in biomedical engineering.
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 [...]
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Ram-air parachute simulation with panel methods and staggered coupling
E. Ortega, R. Flores, J. Pons Prats

Journal of Aircraft (2016). (preprint) Vol. 54 (2), pp. 807-814
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Numerical study of droplet dynamics in a polymer electrolyte fuel cell gas channel using an embedded Eulerian-Lagrangian approach
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 an Eulerian formulation, whereas water is described with a Lagrangian framework. Using this framework, the gas-liquid interface can be accurately identified. The surface tension force is computed using the curvature defined by the boundary of the Lagrangian mesh. The method naturally accounts for material property changes across the interface and accurately represents the pressure discontinuity. A sessile drop in a horizontal surface, a sessile drop in an inclined plane and droplets in a PEFC channel are solved for as numerical examples and compared to experimental data. Numerical results are in excellent agreement with experimental data. Numerical results are also compared to results obtained with the semi-analytical model previously developed by the authors in order to discuss the limitations of the semi-analytical approach.
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 [...]
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On the application of the PFEM to droplet dynamics modeling in fuel cells
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 and sessile droplets. The droplet model is then coupled to an Eulerian, fixed-grid, model for the airflow. The resulting coupled PFEM-Eulerian algorithm is used to study droplet oscillations in an air flow and droplet growth in a low-temperature fuel cell gas channel. Numerical results show good agreement with predicted frequencies of oscillation, contact angle, and deformation of injected droplets in gas channels. The PFEM-based approach provides a novel strategy to study droplet dynamics in fuel cells.
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 [...]
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Industrial Application of Genetic Algorithms to Cost Reduction of a Wind Turbine Equipped with a Tuned Mass Damper
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 cost. The numerical simulation involved in the solution of each evaluation is usually costly, but time and computational resources are limited. Time is key in industry. The present communication focuses on the methodology applied to optimize the installation and design of a Tuned Mass Damper. It is a structural device installed within the tower of a wind turbine aimed to stabilize the oscillations and reduce the tensions and the fatigue loads. The paper describes the decision process to define the optimization problem, as well as the issues and solutions applied to deal with a huge computational cost.
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 [...]
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Summary of UMRIDA Best Practices
J. Pons 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
Uncertainty quantification (UQ) is becoming a strategic step in the design phase. Robust Design Optimization (RDO) is the following step. The Technological Readiness Level (TRL) of intrusive and non-intrusive methodologies is increasing rapidly, although several limitations remain. Nowadays, UQ is a major trend in research, because there is a lot of room for improvement.
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 [...]
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General Introduction to Monte Carlo and Multi-level Monte Carlo Methods
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 the first part, we will discuss the theoretical basis and the convergence proprieties of MC methods. The next part is devoted to pseudorandom and quasi-random number generation, the generation of random variables and the application of stratification. It is followed by techniques for correlation and discrepancy control. The third part presents the concept of Latin Hypercube Sampling (LHS). The last part introduces the concept of Multi-Level Monte Carlo (MLMC).
Abstract
In this chapter, we present a general introduction to Monte Carlo (MC)-based methods, sampling methodologies, stratification methods, and variance reduction techniques. In [...]
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Multi-level Monte Carlo Method
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
Uncertainty quantification has gained interest during the recent years. Two clear examples are NODESIM-CFD and, the just finished, UMRIDA projects.
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Articles (Documents not available in Scipedia)

Numerical Study of Roughness and Contact Angle Effects on Water Transport in a Gas Channel
A Jarauta, T Chan, AZ Weber, P Ryzhakov, J Pons-Prats, M Secanell

Meeting Abstracts, 1644-1644, 2017
Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation
N Mangado, G Piella, J Noailly, J Pons-Prats, MÁG Ballester

Frontiers in Bioengineering and Biotechnology 4, 2016
Ram-Air Parachute Simulation with Panel Methods and Staggered Coupling
E Ortega, R Flores, J Pons-Prats

Journal of Aircraft, 2016
On the application of the PFEM to droplet dynamics modeling in fuel cells
PB Ryzhakov, A Jarauta, M Secanell, J Pons-Prats

Computational Particle Mechanics, 1-11, 2016
Numerical study of droplet dynamics in a polymer electrolyte fuel cell gas channel using an embedded Eulerian-Lagrangian approach
A Jarauta, P Ryzhakov, M Secanell, PR Waghmare, J Pons-Prats

Journal of Power Sources 323, 201-212, 2016
Turbulent separated shear flow control by surface plasma actuator: experimental optimization by genetic algorithm approach
N Benard, J Pons-Prats, J Periaux, G Bugeda, P Braud, JP Bonnet, ...

Experiments in fluids 57 (2), 22, 2016
EU-China research cooperation in aeronautics technologies: GRAIN 2
G Bugeda Castelltort, Y Deng, JF Periaux, J Pons Prats

Aerodays2015, 1-19, 2015
Multi-Input Genetic Algorithm for Experimental Optimization of the Reattachment Downstream of a Backward-Facing-Step with Surface Plasma Actuator
N Benard, J Pons-Prat, J Periaux, G Bugeda, JP Bonnet, E Moreau

46th AIAA Plasmadynamics and Lasers Conference, 2957, 2015
Multilevel Monte-Carlo methods applied to the stochastic analysis of aerodynamic problems
G Bugeda Castelltort, J Pons Prats

CMN 2015 Congreso de Métodos Numéridos en Ingeniería, 1-18, 2015
A semi-analytical model for droplet dynamics on the GDL surface of a PEFC electrode
A Jarauta, M Secanell, J Pons-Prats, P Ryzhakov, SR Idelsohn, E Onate

international journal of hydrogen energy 40 (15), 5375-5383, 2015
Multi-objective design optimisation of a 3D-rail stamping process using a robust multi-objective optimisation platform (RMOP)
DS Lee, HG Espinoza Román, ÓA Fruitós Bickham, J Pons Prats

Computational Plasticity XII. Fundamentals and Applications, 1-12, 2013
Robust Design Optimization applied to aeronautics combining stochastic calculus with evolutionary algoritms
J Pons-Prats, G Bugeda, F Zarate, E Onate

REVISTA INTERNACIONAL DE METODOS NUMERICOS PARA CALCULO Y DISENO EN ..., 2012
Optimización robusta en aplicaciones aeronáuticas con la combinación de cálculo estocástico y algoritmos evolutivos
J Pons-Prats, G Bugeda, F Zárate, E Oñate

Revista Internacional de Métodos Numéricos para Cálculo y Diseño en ..., 2012
Stochastic and Robust design procedures applied to the optimization with uncertainties
J Pons Prats, G Bugeda Castelltort, JF Zárate Araiza, ...

EUROGEN 2011. Evolutionary methods for design, optimization and control ..., 2011
Robust design optimization in aeronautics using stochastic analysis and evolutionary algorithms
J Pons-Prats, G Bugeda, F Zárate, E Oñate

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of ..., 2011
Double Shock Control Bump design optimization using hybridised evolutionary algorithms
DS Lee, J Periaux, J Pons-Prats, G Bugeda, E Oñate

Evolutionary Computation (CEC), 2010 IEEE Congress on, 1-8, 2010
Robust Shape Optimization in Aeronautics using stochastic analysis and evolutionary algorithms
J Pons-Prats, G Bugeda, E Oñate

WCCM/APCOM, 2010
Robust shape optimization in aeronautics
J Pons-Prats, G Bugeda Castelltort, E Oñate Ibáñez de Navarra, F Zárate, ...

Eighth World Congress on Structural and Multidisciplinary Optimization, 1-16, 2009
Non-deterministic shape optimization in aeronautics
J Pons-Prats, E Oñate, F Zárate, G Bugeda, J Hurtado

12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 5827, 2008

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Documents published in Scipedia

Articles (Documents not available in Scipedia)

Numerical Study of Roughness and Contact Angle Effects on Water Transport in a Gas Channel

Analysis of uncertainty and variability in finite element computational models for biomedical engineering: characterization and propagation

Ram-Air Parachute Simulation with Panel Methods and Staggered Coupling

On the application of the PFEM to droplet dynamics modeling in fuel cells

Numerical study of droplet dynamics in a polymer electrolyte fuel cell gas channel using an embedded Eulerian-Lagrangian approach

Turbulent separated shear flow control by surface plasma actuator: experimental optimization by genetic algorithm approach

EU-China research cooperation in aeronautics technologies: GRAIN 2

Multi-Input Genetic Algorithm for Experimental Optimization of the Reattachment Downstream of a Backward-Facing-Step with Surface Plasma Actuator

Multilevel Monte-Carlo methods applied to the stochastic analysis of aerodynamic problems

A semi-analytical model for droplet dynamics on the GDL surface of a PEFC electrode

Multi-objective design optimisation of a 3D-rail stamping process using a robust multi-objective optimisation platform (RMOP)

Robust Design Optimization applied to aeronautics combining stochastic calculus with evolutionary algoritms

Optimización robusta en aplicaciones aeronáuticas con la combinación de cálculo estocástico y algoritmos evolutivos

Stochastic and Robust design procedures applied to the optimization with uncertainties

Robust design optimization in aeronautics using stochastic analysis and evolutionary algorithms

Double Shock Control Bump design optimization using hybridised evolutionary algorithms

Robust Shape Optimization in Aeronautics using stochastic analysis and evolutionary algorithms

Robust shape optimization in aeronautics

Non-deterministic shape optimization in aeronautics

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Lakhani, Bhavinbhai 264

Quezon, Emer T. 12372

González, Michael Alvarez 343

ARAUJO, LEILSON 768

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