Jacques Periaux

CIMNE International Center for Numerical Methods in Engineering | CIMNE

This article reviews the major improvements in efficiency and quality of evolutionary multi-objective and multi-disciplinary design optimization techniques achieved during 1994–2021. At first, we introduce briefly Evolutionary Algorithms (EAs) of increasing complexity as accelerated optimizers. After that, we introduce the hybridization of EAs with...

This book provides research results using computational methods for fluid dynamics and engineering problems in aeronautics and other scientific and industrial applications. It gives an overview on the state of the art and the technology trends requiring advanced computational methods towards digitization in industrial and scientific processes. The...

ECCOMAS, the European Community on Computational Methods in Applied Sciences brought together the scientific associations on numerical and computational methods in Europe. With its large conferences ECCOMAS created a world-wide recognized forum for scientific exchange of new methods and their applications. Within ECCOMAS, the Industry Interest Grou...

Evolutionary algorithms have been widely used to solve complex engineering optimization problems with large search spaces and nonlinearity. Both cultural algorithm (CA) and genetic algorithms (GAs) have a broad prospect in the optimization field. The traditional CA has poor precision in solving complex engineering optimization problems and easily f...

In this introductory chapter of the book, we outline the development of computational science, artificial intelligence, and data science as part of science paradigm development. Computational science and artificial intelligence have mainly been developed separately during the past 60 years. We present a short overview of the history and notice a de...

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic a...

The transonic natural laminar flow wing will become an important feature of the next generation advanced civil transport aircraft, because it can greatly reduce the friction drag. In paper Tang et al. (Arch Computat Meth Eng 26:119–141, 2019) and Chen et al. (J Nanjing Univ Aeronaut Astron, 50(4):548–557, 2018), the problem of wave drag increase du...

This book presents improved and extended versions of selected papers from EUROGEN 2019, a conference with interest on developing or applying evolutionary and deterministic methods in optimization of design and emphasizing on industrial and societal applications.

This white paper aims at presenting the ideas emerging from the different fields pertaining to transport and mobility, to describe the capacities of current state-of-the-art digital technologies and the perspectives that are expected to shape the future of transport and mobility.

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 was, once understood, to apply flow control techniques in order to control these structures and reduce the overall drag derived from the Reynolds stress and mainly from the skin...

Since 1947, when Schubauer and Skramstad (J Res: 69–78, 1947 [1]) established the basis of the technology with its revolutionary work about steady state tools and mechanisms for the flow management, the progress of the flow control technology and the development of devices have progressed constantly. Anyway, the applicability of such devices is lim...

This book presents the results of a European-Chinese collaborative research project, Manipulation of Reynolds Stress for Separation Control and Drag Reduction (MARS), including an analysis and discussion of the effects of a number of active flow control devices on the discrete dynamic components of the turbulent shear layers and Reynolds stress. Fr...

This book gathers the outcomes of the second ECCOMAS CM3 Conference series on transport, which addressed the main challenges and opportunities that computation and big data represent for transport and mobility in the automotive, logistics, aeronautics and marine-maritime fields. Through a series of plenary lectures and mini-forums with lectures fol...

The design integration of a supersonic combustion ramjet engine (SCRAMJET) with an airframe remains a critical task for guarantying a successful mission of trans atmospheric or hypersonic cruise vehicles. For this purpose, the operational efficiency has to be established by the effective specific impulse and the thrust to weight ratio of the accele...

Game-theory based Nash–evolutionary algorithms are efficient to speed-up and parallelize the optimum design procedure. They have been applied in several fields of engineering and sciences, mainly, in aeronautical and structural engineering. The influence of the search space player territory has been shown as having an important role in the algorith...

In what follows we provide a brief overview of the life and work of Professor Yuri Kuznetsov ( University of Houston)

In what follows we provide a brief overview of the life and work of Professor Olivier Pironneau Fitzgibbon ( LJLL Sorbonne Université)

This book treats Modelling of CFD problems, Numerical tools for PDE, and Scientific Computing and Systems of ODE for Epidemiology, topics that are closely related to the scientific activities and interests of Prof. William Fitzgibbon, Prof. Yuri Kuznetsov, and Prof. O. Pironneau, whose outstanding achievements are recognised in this volume. It cont...

The environments, in which we all live, are known to be complex and unpredictable. The complete discovery of these environments aiming to take full control over them is a “mission-impossible”, however, still in our common agenda. People intend to make their living spaces smarter utilizing innovations from the Internet of Things and Artificial Intel...

Aircraft emission targets worldwide and their climatic effects have put pressure in government agencies, aircraft manufacturers and airlines to reduce water vapour, carbon dioxide (\(CO_{2}\)) and oxides of nitrogen (\(NO_{x}\)) resulting from aircraft emissions. The difficulty of reducing emissions including water vapor, carbon dioxide (\(CO_{2}\)...

This volume entitled "European Computational Aerodynamics Research Project (ECARP)" contains the contributions of partners presented in two work­ shops focused on the following areas: Task 3 on Optimum Design and Task 4.2 on Navier Stokes Flow algorithms on Massively Parallel Processors. ECARP has been supported by the European Union (EU) through t...

A general review of game-theory based evolutionary algorithms (EAs) is presented in this study. Nash equilibrium, Stackelberg game and Pareto optimality are considered, as game-theoretical basis of the evolutionary algorithm design, and also, as problems solved by evolutionary computation. Applications of game-theory based EAs in computational engi...

Turbulent boundary layer control (TBLC) for skin-friction drag reduction is a relatively new technology made possible through the advances in computational-simulation capabilities, which have improved the understanding of the flow structures of turbulence. Advances in micro-electronic technology have enabled the fabrication of active device systems...

The use of evolutionary algorithms has been enhanced in recent years for solving real engineering problems, where the requirements of intense computational calculations are needed, especially when computational engineering simulations are involved (use of finite element method, boundary element method, etc). The coupling of game-theory concepts in...

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 flows. Here, a nonthermal surface plasma discharge (dielectric barrier discharge) is installed at the step corner of a backward-facing step (U 0 = 15 m/s, Re h = 30,000, Re θ...

A parallel implementation of a game-theory based Nash Genetic Algorithm (Nash-GAs) is presented in this paper for solving reconstruction inverse problems in structural engineering. We compare it with the standard panmictic genetic algorithm in a HPC environment with up to eight processors. The procedure performance is evaluated on a fifty-five bar...

N. Benard, J. Pons-Prats, J. Periaux, G. Bugeda, J.P. Bonnet, and E. Moreau, 'Experimental Optimization by Genetic Algorithm for Flow Separation Control with Surface Plasma Actuator ', 50th International conference on Applied Aerodynamics, Toulouse, France, March-April 2015.

AIAA Aviation 22-26 June 2015, Dallas, TX 46th AIAA Plasmadynamics and Lasers Conference

FOREWORD The CM3 event is the first ECCOMAS Thematic Conference organized by University of Jyväskylä, Finland in the context of activities proposed by the new Industrial Interest Group (IIG) of ECCOMAS. Efficient European transport remains an important factor of economic growth to be considered in view of environmental and societal challenges. It...

The present investigation concerns the active control of a turbulent separated flow downstream of a backward-facing step by surface plasma discharge. A single-objective genetic algorithm is implemented in order to achieve the minimization of the recirculation length. For that purpose, a series of unsteady pressure sensors installed on the bottom wa...

The content of this book describes algorithms and applications of robust evolutionary methods for multi-objective and multi-disciplinary design problems in aeronautics and UAV design. The chapters cover methods that couple robust evolutionary optimisers, parallel computing, asynchronous evaluation strategies, game theory and hierarchical topology o...

This report is dedicated to considerations and perspectives for the strategy of using unmanned aerial vehicles and Cloud Computing in emergency situations in a Smart City environment. The aim is to provide inspiring insights in this highly complex problem from a technological and a tactical point of view. This specific case can be seen as a member...

Game theory and its particular Nash games are gaining importance in multi-objective optimization in engineering problems over the past decade. Among ongoing advances in optimization methods and tools, many applications including mathematical modeling with constraints in different areas remain challenges in industrial design environments. This paper...

In this lecture we solve the fully stressed design problem in structural engineering using a game-theory based Nash – Genetic algorithm (Nash-GAs). The procedure performance is analyzed on different set of variable splitting of the problem in a fifty-five bar sized test case of discrete real cross-section types bar structure and compared also with...

There are currently three different game strategies to solve multi-criteria de-sign problems:. Nowadays EAs and Pareto front concept are more and more in solving practical design problems in industry, but this process is time consuming. Here, deterministic optimization method and Pareto front concept are combined to offer a cheap alternative to EAs...

In this paper we present new results obtained by a competitive game based distributed geometry decomposition method (GDM) for graphics processing unit (GPU) assisted shape design. The method replaces the original single-objective optimization problem by the search of Nash equilibria in a multiobjective optimization problem. Significant wall-clock t...

Purpose – The purpose of this paper is to investigate an active flow control technique called Shock Control Bump (SCB) for drag reduction using evolutionary algorithms. Design/methodology/approach – A hierarchical genetic algorithm (HGA) consisting of multi‐fidelity models in three hierarchical topological layers is explored to speed up the design...

Purpose The purpose of this paper is to compare the efficiency of four different algorithmic parallelization methods for inverse shape design flow problems. Design/methodology/approach The included algorithms are: a parallelized differential evolution algorithm; island‐model differential evolution with multiple subpopulations; Nash differential ev...

A meshless method using a cloud of points has become an important research topic in computational fluid dynamics due to its benefits, flexibility, and accuracy of results. In this paper, a fast meshless method has been developed for the solution of two dimensional Euler equations, with artificial dissipation used in the discretization second and fo...

Solving CFD inverse problems dealing with complex aerodynamic configurations like multi-element airfoils remains a difficult and expensive procedure, which requires seamless interfacing between several softwares like computer-aided design (CAD) system, mesh generator, flow analyzer, and an optimizer. It is essential to ensure the mesh quality durin...

The paper investigates two advanced Computational Intelligence Systems (CIS) for a morphing Unmanned Aerial Vehicle (UAV) aerofoil/wing shape design optimisation. The first CIS uses Genetic Algorithm (GA) and the second CIS uses Hybridized GA (HGA) with the concept of Nash-Equilibrium to speed up the optimisation process. During the optimisation, N...

A new robust optimization method is introduced to extend single point design to more realistic problems in aerodynamics taking into account uncertainties. It is well known that single point design techniques produce solutions that perform well for the selected design point but have poor off-design performance. Following ideas of Taguchi’s robust co...

There are many applications in aeronautical/aerospace engineering where some values of the design parameters/states cannot be provided or determined accurately. These values can be related to the geometry (wingspan, length, angles) and or to operational flight conditions that vary due to the presence of uncertainty parameters (Mach, angle of attack...

This paper investigates the field programmable gate array (FPGA) ap-proach for multi-objective and multi-disciplinary design optimisation (MDO) prob-lems. One class of optimisation method that has been well-studied and established for large and complex problems, such as those inherited in MDO, is multi-objective evolutionary algorithms (MOEAs). The...

This study investigates the application of two advanced optimization methods for solving active flow control (AFC) device shape design problem and compares their optimization efficiency in terms of computational cost and design quality. The first optimization method uses hierarchical asynchronous parallel multi-objective evolutionary algorithm and...

A number of Game Strategies (GS) have been developed in past decades. They have been used in the fields of economics, engineering, computer science and biology due to their efficiency in solving design optimization problems. In addition, research in multi-objective (MO) and multidisciplinary design optimization (MDO) has focused on developing robus...

Computational Intelligence Systems (CIS) is one of advanced softwares. CIS has been important position for solving single-objective/reverse/inverse and multi-objective design problems in engineering. The paper hybridise a CIS for optimisation with the concept of Nash-Equilibrium as an optimisation pre-conditioner to accelerate the optimisation proc...

A number of game strategies have been developed in past decades and used in the fields of economics, engineering, computer science, and biology due to their efficiency in solving design optimization problems. In addition, research in multiobjective and multidisciplinary design optimization has focused on developing a robust and efficient optimizati...

The use of adaptive wing/aerofoil designs is being considered, as they are promising techniques in aeronautic/aerospace since they can reduce aircraft emissions and improve aerodynamic performance of manned or unmanned aircraft. This paper investigates the robust design and optimization for one type of adaptive techniques: active flow control bump...

The use of adaptive wing/aerofoil designs is being considered as promising techniques in aeronautic/aerospace since they can reduce aircraft emissions, improve aerodynamic performance of manned or unmanned aircraft. The paper investigates the robust design and optimisation for one type of adaptive techniques; Active Flow Control (AFC) bump at trans...

The chapter investigates Shock Control Bumps (SCB) on a Natural Laminar Flow (NLF) aerofoil; RAE 5243 for Active Flow Control (AFC). A SCB approach is used to decelerate supersonic flow on the suction/pressure sides of transonic aerofoil that leads delaying shock occurrence or weakening of shock strength. Such an AFC technique reduces significantly...

More than 10 years have elapsed since the conference, “Computational Science for the Twentieth Century”, was held in Tours, France. The Tours event honored the 60th birthday of Roland Glowinski. The world has witnessed many changes in the last decade, but Roland and his lovely wife, Angela, seem to barely have changed at all. Indeed, they are like...

In this paper, the aerodynamic shape optimization problems with uncertain operating conditions have been addressed. After a review of robust control theory and the possible approaches to take into account uncertainties, the use of Taguchi robust design methods in order to overcome single point design problems in aerodynamics is proposed. Under the...

This study investigates the application of two advanced optimization methods for solving active flow control (AFC) device shape design problem and compares their optimization efficiency in terms of computational cost and design quality. The first optimization method uses hierarchical asynchronous parallel multi-objective evolutionary algorithm and...

With rising environmental alarm, the reduction of critical aircraft emissions including carbon dioxides (CO2) and nitrogen oxides (NOx) is one of most important aeronautical problems. There can be many possible attempts to solve such problem by designing new wing/aircraft shape, new efficient engine, etc. The paper rather provides a set of acceptab...

This paper presents the application of advanced optimization techniques to Unmanned Aerial Systems (UAS) Mission Path Planning System (MPPS) using Multi-Objective Evolutionary Algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA Non-dominated Sorting Genetic Algorithms II (NSGA-II) and a Hybrid Game strategy are implem...

Computation Fluid Dynamics (CFD) has become an important tool in optimization and has seen successful in many real world applications, Most important among these is in the optimisation of aerodynamic surfaces which has become Multi-Objective (MO) and Multidisciplinary (MDO) in nature. Most of these have been carried out for a given set of input par...

We discuss in this paper the numerical solution of boundary value problems for partial diffential equations by methods relying on compactly supported wavelet approximations. After defining compactly supported wavelets and stating their main properties we discuss their application to boundary value problems for partial differential equations, giving...

This paper describes the theory and practical application of Hierarchical Asynchronous Parallel Multi-objective Evolutionary Algorithms (HAPMOEA) for mission optimisation of Unmanned Aerial Systems (UAS). Optimisation has emerged as a new discipline for UAS in recent years and most of the optimisation efforts are focused on the use of gradient-base...

G. (2009) Design optimisation using advanced artificial intelligent system coupled to hybrid-game strategies. Abstract One of the main aims in artificial intelligent system is to develop robust and efficient optimisation methods for Multi-Objective (MO) and Multidisciplinary Design (MDO) design problems. The paper investigates two different optimis...

This paper compares the performances of two different optimisation techniques for solving inverse problems; the first one deals with the Hierarchical Asynchronous Parallel Evolutionary Algorithms software (HAPEA) and the second is implemented with a game strategy named Nash-EA. The HAPEA software is based on a hierarchical topology and asynchronous...

In this paper, the aerodynamic shape optimization problems with uncertain operating conditions has been addressed. After a review of robust control theory and the possible approaches to take into account uncertainties, the use of Taguchi robust design methods in order to overcome single point design problems in aerodynamics is proposed. Under the T...

CFD played a critical role as design tool in the 1970-80s in French laboratories and aeronautical industries with the rapid progress of computing facilities. Three short contributions by senior scientists and technologists describe how CFD developed rapidly in the French scientific and industrial community and was recognized as a mature tool in aer...

One of the new challenges in aeronautics is combining and accounting for multiple disciplines while considering uncertainties or variability in the design parameters or operating conditions. This paper describes a methodology for robust multidisciplinary design optimisation when there is uncertainty in the operating conditions. The methodology, whi...

This paper describes a parallel multi-criteria (multi-objective) evolutionary algorithm for aero-structural problems. The foundations of the algorithm are based upon traditional evolution strategies and incorporate the concepts of a multi-objective optimisation, hierarchical topology, asynchronous evaluation and parallel computing. The algorithm wo...

Game strategies have been developed in past decades and used in the field of economics, engineering, computer science and biology due to their efficiency in solving design optimisation problems. In addition, research on Multi-Objective (MO) and Multidisciplinary Design Optimisation (MDO) has focused on developing robust and efficient optimisation m...

When solving unsteady computational fluid dynamics problems in aerodynamics with a gridless method, a cloud of points is usually required to be regenerated due to its accommodation to moving boundaries. In order to handle this problem conveniently, a fast dynamic cloud method based on Delaunay graph mapping strategy is proposed in this paper. A dyn...

CFD has been successfully used in the optimisation of aerodynamic surfaces using a given set of parameters such as Mach numbers and angle of attack. While carrying out a multidisciplinary design optimisation one deals with situations where the parameters have some uncertaint attached. Any optimisation carried out for fixed values of input parameter...

When devising a numerical shape–optimization method in the context of a complex engineering situation, the practitioner is faced to an acute difficulty related to the participation, in a realistic formulation, of several relevant physical criteria originating from several disciplines. Perhaps the most commonly–used treatment of multi–criterion prob...

This book contains selected papers presented at the Conference on Evolutionary and Deterministic Methods for Design, Optimisation and Control with Applications to Industrial and Societal Problems (EUROGEN 2007) held in Jyväskylä, 11-13 June 2007. The aim of EUROGEN 2007 was to bring together specialists from universities, research institutions and...

One of most important challenges in Unmanned (Combat) Aerial Vehicles (UCAV) is improvement of survivability and that can be achieved by well designed aerodynamic and Radar Cross Section (RCS) shapes. The aerodynamic efficiency aims to providing a short distance take-off, long endurance and better maneuverability. In addition, the stealth property...

In this paper, a new robust design method is investigated with a hierarchical asynchronous parallel multi-objective evolutionary algorithms in an optimisation framework environment to solve single and multi-point design optimisation problems in aerodynamics. The single design techniques produce solutions that perform well for the selected design po...

The industry requires innovative technologies to support the numeric design and simulation of manufactured products in order to reduce time to market delays and improve the performance of the products and the efficiency of the industries in the global competitive market. Innovation also requires advanced tools to support the design of new products....

The main goal of this paper is to present the application of a decentralization optimization principle from Game Theory to the solution of direct and inverse problems in Fluid Dynamics. It is shown in particular that multicriteria optimization methods “à la Nash” combine ideally with domain decomposition methods, with or without overlapping in orde...

In this paper we consider the numerical solution of a linear wave equation with discontinuous coefficients. We divide the computational domain into two subdomains and use explicit time difference scheme along with piecewise linear finite element approximations on semimatching grids. We apply boundary supported Lagrange multiplier method to match th...

A hybrid computational fluid dynamics (CFD) solution method coupled with genetic algorithms (GAs) is presented for solving inverse design problems in this paper. The hybrid method combines both mesh and meshless techniques, in which the flow field is basically discretized by Cartesian grids while a local meshless treatment is embedded in the close...

We have discussed in this section a method for solving partial differential problems on a domain, founded on a subdomains decomposition. The methods obtained from that decomposition are quite efficient and have good parallelization properties. In our opinion their true domains of application are indeed: - solving problems involving several mathemat...

Multicriterion design is gaining importance in aeronautics in order to cope with new needs of society. In the literature, contributions to single discipline and/or single-point design optimization abound. The goal of this paper is to introduce a new approach combining the adjoint method with a formulation derived from game theory for multipoint aer...

The implementation and use of a framework in which engineering optimization problems can be analysed are described. In the first part, the foundations of the framework and the hierarchical asynchronous parallel multi-objective evolutionary algorithms (HAPMOEAs) are presented. These are based upon evolution strategies and incorporate the concepts of...

Because large scale multiphysics problems are expected to be orders of magnitude larger than current single discipline applications, like weather forcasting, environmental disaster prevention and emergency management, new computing technologies are required. Among these technologies are wide area grids and distributed computing, using cluster and g...

The main objective of this article is to investigate computational methods for the active control and drag optimization of incompressible viscous flow past cylinders, using the two-dimensional Navier-Stokes equations as the flow model. The computational methodology relies on the following ingredients: space discretization of the Navier-Stokes equat...

It is shown that the transonic equation for compressible potential flow is equivalent to an optimal control problem of a linear distributed parameter system. This problem can be discretized by the finite element method and solved by a conjugate gradient algorithm. Thus a new class of methods for solving the transonic equation is obtained. Il is par...

In this paper, a new Robust Design method is investigated with a hierarchical asynchronous parallel Multi-objective evolutionary optimisation framework to overcome single and multi-point design optimisation problems in Aerodynamics. The single design techniques produce solutions that perform well for the selected design point but have poor off-desi...

Improvement of survivability of Unmanned (Combat) Aerial Vehicles (UAV/UCAV) is one of the common challenges in completing its diverse mission profile. To maximise the survivability, three major design points are considered-aerodynamic efficiency at cruise conditions with extreme manoeuvrability and low observability shape. This paper explores the...