Jordi Pons Prats Profile : Scipedia

COLLECTIONS

Sort publications:

Jordi Pons-Prats' publications

Scope

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

17
116
5/5
read

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 [...]

5
187
5/5
read

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

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 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 [...]

9
292
5/5
read

Documents published in Scipedia

Optimization of fleets and their propulsive alternatives by operating under motorways of the sea conditions
A. Martinez-López, L. Trujillo, M. Chica

CM3 2017 (2017).

Abstract
Optimization of fleets and their propulsive alternatives by operating under motorways of the sea conditions The progressive progressive alleviation of the protectionist attitude attitude of the European European policy towards the maritime transport .  The European European Institutions have transfered the responsability of of the multimodal multimodal multimodal transport transport transportis competitive competitive by its own means to the private initiative .  In many ocassions ocassions ocassions studies try to find the most suitable route for the features of the transport mode when the approach approach approach should should be the opposite : the features of the transport means should should be adapted adapted to the transport service service requirements requirements .  The most of the studies about vessel vessel prototypes adapted adapted to SSS do not evaluate their operation acording the results results achieved by the multimodal multimodal chains (‘door to door’services )
Abstract
Optimization of fleets and their propulsive alternatives by operating under motorways of the sea conditions The progressive progressive alleviation of the protectionist [...]
- 4
- read
Model Order Reduction for Non Linear Mechanics
R. Pinillo

CM3 2017 (2017).

Abstract
Context: Automotive industry is moving towards a new generation of cars. Main idea: Cars are furnished with radars, cameras, sensors, etc… providing useful information about the environment surrounding the car. Goals: Provide an efficient model for the radar input/output. Reducing computational costs by means of big data techniques.
Abstract
Context: Automotive industry is moving towards a new generation of cars. Main idea: Cars are furnished with radars, cameras, sensors, etc… providing useful information [...]
- 33
- read
Influence of the residual stresses in reshaping operations of large aeronautical parts
R. Mena

CM3 2017 (2017).

Abstract
Context Large and thick aeronautical parts present distortion after machining because the residual stresses (RS) generated during previous manufacturing steps (heat treatment). Before assembly, distortion is removed manually. It is a time consuming operation and depends exclusively on the skills of a well trained operator. Scientific goals To develop a Reduced Order Model (ROM) for reshaping To evaluate the main parameters during the process and its uncertainty level Industrial goals To study reshaping from a numerical perspective To adapt reshaping simulations to each warped geometry To introduce numerical simulation in order to assist the operator
Abstract
Context Large and thick aeronautical parts present distortion after machining because the residual stresses (RS) generated during previous manufacturing steps (heat treatment). Before [...]
- 18
- read
Contribution to the definition of non deterministic robust optimization in aeronautics accounting with variable uncertainties
J. Pons Prats, G. Bugeda, F. Zarate

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 reduction of engine nozzles, or reduction of the fuel consumption of aircraft. Optimization for general purposes is also of increasing interest in many other fields. Traditionally, optimization procedures were based on deterministic methodologies as in Hamalainen et al (2000), where the optimum working point was fixed. However, not considering what happens in the vicinity of the defined working conditions can produce problems like loose of efficiency and performance. That is, in many cases, if the real working point differs from the original, even a little distance, efficiency is reduced considerably as pointed out in Huyse and Lewis (2001). Non deterministic methodologies have been applied to many fields (Papadrakakis, Lagaros and Tsompanakis, 1998; Plevris, Lagaros and Papadrakakis, 2005). One of the most extended nondeterministic methodologies is the stochastic analysis. The time consuming calculations required on Computational Fluid Dynamics (CFD) has prevented an extensive application of the stochastic analysis to shape optimization. Stochastic analysis was firstly developed in structural mechanics, several years ago. Uncertainty quantification and variability studies can help to deal with intrinsic errors of the processes or methods. The result to consider for design optimization is no longer a point, but a range of values that defines the area where, in average, optimal output values are obtained. The optimal value could be worse than other optima, but considering its vicinity, it is clearly the most robust regarding input variability. Uncertainty quantification is a topic of increasing interest from the last few years. It provides several techniques to evaluate uncertainty input parameters and their effects on the outcomes. This research presents a methodology to integrate evolutionary algorithms and stochastic analysis, in order to deal with uncertainty and to obtain robust solutions.
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 [...]
- 20
- read

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

information

Submit your paper

Become a journal editor

Create a new collection

Create an organization profile

Open access

COLLECTIONS

Jordi Pons-Prats' publications

CM3-2017 - Computation and Big Data in Transport

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

Documents published in Scipedia

Optimization of fleets and their propulsive alternatives by operating under motorways of the sea conditions

Model Order Reduction for Non Linear Mechanics

Influence of the residual stresses in reshaping operations of large aeronautical parts

Contribution to the definition of non deterministic robust optimization in aeronautics accounting with variable uncertainties

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

information

Colleagues

Followers

Lakhani, Bhavinbhai 489

Quezon, Emer T. 12372

González, Michael Alvarez 343

ARAUJO, LEILSON 768

contributions

external references