Multi-objective and multi-disciplinary design using evolutionary methods applied to aerospace design problems

The design of real complex objects or systems is characterised by a multi-disciplinary approach. This article presents the methodology of multi-objective and multi-disciplinary design of aerodynamic objects, using optimisation. The in-house software ParaDes using Non-Uniform Rational B-Splines is a key element for the parametric modelling of aerodynamic objects. A multi-objective Genetic Algorithm is used for optimisation. Selected examples of a successful design solution are: (i) the design of a forward swept wing with natural laminar flow; (ii) the design of wings for low-speed turbo-prop small aircraft and small business jet aircraft; (iii) the design of a helicopter fuselage with and without rotor influence. In each case, the definition of the design problem, the objectives and constraints and the basic properties of the evaluation tools are discussed.

[1]  Jerzy Zoltak,et al.  OPTIMISATION OF THE HELICOPTER FUSELAGE WITH SIMULATION OF MAIN AND TAIL ROTOR INFLUENCE , 2012 .

[2]  Juhee Lee,et al.  Optimal design of two-dimensional wings in ground effect using multi-objective genetic algorithm , 2010 .

[3]  Witold Wiśniowski,et al.  Multi-disciplinary optimisation approach for a light turboprop aircraft-engine integration and improvement , 2016 .

[4]  Jaroslaw Sobieszczanski-Sobieski,et al.  Multidisciplinary aerospace design optimization - Survey of recent developments , 1996 .

[5]  Luis F. Gonzalez,et al.  Optimum Multidisciplinary and Multi-Objective Wing Design in CFD Using Evolutionary Techniques , 2006 .

[6]  Ebrahim Sharifi Tashnizi,et al.  Investigation of the adjoint method in aerodynamic optimization using various shape parameterization techniques , 2010 .

[7]  A. Jahangirian,et al.  Inverse design of transonic airfoils using genetic algorithm and a new parametric shape method , 2009 .

[8]  Roy J. Hartfield,et al.  Ramjet Powered Missile Design Using a Genetic Algorithm , 2004, J. Comput. Inf. Sci. Eng..

[9]  Tian-Tsong Ng,et al.  Application of genetic algorithms to conceptual design of a micro-air vehicle , 2002 .

[10]  Luis F. Gonzalez,et al.  Robust evolutionary algorithms for UAV/UCAV aerodynamic andRCS design optimisation , 2008 .

[11]  Peter J. Bentley,et al.  Optimising the Performance of a Formula One Car Using a Genetic Algorithm , 2004, PPSN.

[12]  Kamran Behdinan,et al.  AIRCRAFT CONCEPTUAL DESIGN USING GENETIC ALGORITHMS , 2000 .

[13]  Woo Suck Han,et al.  Improved genetic algorithm for multidisciplinary optimization of composite laminates , 2008 .

[14]  Kamran Behdinan,et al.  Evaluation of Multidisciplinary Optimization Approaches for Aircraft Conceptual D esign , 2004 .

[15]  A. Jahangirian,et al.  Airfoil shape parameterization for optimum Navier–Stokes design with genetic algorithm , 2007 .

[16]  Sebastien Defoort,et al.  Multidisciplinary Aerospace System Design: Principles, Issues and Onera Experience , 2012 .

[17]  Kasidit Leoviriyakit,et al.  Wing planform optimization via an adjoint method , 2005 .

[18]  Roy Hartfield.  Aerospace design optimization using a steady state real-coded genetic algorithm , 2013 .

[19]  Raphael T. Haftka,et al.  AIAA-98-4854 Composite Wing Structural Optimization Using Genetic Algorithms and Response Surfaces , 1998 .

[20]  A. Oyama.  MULTIDISCIPLINARY OPTIMIZATION OF TRANSONIC WING DESIGN BASED ON EVOLUTIONARY ALGORITHMS COUPLED WITH CFD SOLVER , 2000 .

[21]  Dong-Ho Lee,et al.  Multi-Objective and Multidisciplinary Design Optimization of Supersonic Fighter Wing , 2006 .

[22]  Parametric Modelling of Aerodynamic Objects-The Key to Successful Design and Optimisation , 2013 .

[23]  W. Stalewski,et al.  Design of a turbulent wing for small aircraft using multidisciplinary optimisation , 2014 .

[24]  R. H. Liebeck,et al.  Design of the Blended-Wing-Body subsonic transport , 2002 .

[25]  Bret Stanford,et al.  Evolutionary Optimization of a Morphing Wing with Wind Tunnel Hardware-in-the-Loop , 2009 .

[26]  Jerzy Żółtak,et al.  The preliminary design of the air-intake system and the nacelle in the small aircraft-engine integration process , 2014 .

[27]  T. Pulliam,et al.  Aerodynamic Shape Optimization Using A Real-Number-Encoded Genetic Algorithm , 2001 .

[28]  Pierre Boulanger,et al.  CFD Based Wing Shape Optimization Through Gradient-Based Method , 2008 .

[29]  Jouko Lampinen,et al.  Cam shape optimisation by genetic algorithm , 2003, Comput. Aided Des..

[30]  J. Sznajder,et al.  Determination of non-linear aerodynamic characteristics of an aircraft using a potential flow model and viscous airfoil characteristics , 2010 .

[31]  William A. Crossley,et al.  Aerodynamic and Aeroacoustic Optimization of Rotorcraft Airfoils via a Parallel Genetic Algorithm , 2000 .

[32]  Dong-Ho Lee,et al.  Application of Collaborative Optimization Using Genetic Algorithm and Response Surface Method to an Aircraft Wing Design , 2006 .

[33]  Timothy W. Simpson,et al.  A genetic algorithm based method for product family design optimization , 2003, DAC 2002.

[34]  Luis F. Gonzalez,et al.  Multi-objective / multidisciplinary design optimisation of blended wing body UAV via advanced evolutionary algorithms , 2007 .