aeronautics multidisciplinary applications

33
AERONAUTICS MULTIDISCIPLINARY AERONAUTICS MULTIDISCIPLINARY APPLICATIONS APPLICATIONS Shanghai (CN) February 21st, 2006 ON GRID COMPUTING INFRASTRUCTURES Toan NGUYEN www-opale.inrialpes.fr

Upload: ratana

Post on 09-Jan-2016

36 views

Category:

Documents


0 download

DESCRIPTION

AERONAUTICS MULTIDISCIPLINARY APPLICATIONS. ON GRID COMPUTING INFRASTRUCTURES. Toan NGUYEN. www-opale.inrialpes.fr. Shanghai (CN). February 21st, 2006. COOPERATION. PROMOTING SCIENTIFIC COOPERATION BETWEEN EUROPE AND CHINA. IN THE FIELD OF MULTIPHYSICS MODELING, SIMULATION, EXPERIMENTATION. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

AERONAUTICS MULTIDISCIPLINARY AERONAUTICS MULTIDISCIPLINARY APPLICATIONSAPPLICATIONS

Shanghai (CN)

February 21st, 2006

ON GRID COMPUTING INFRASTRUCTURES

Toan NGUYEN

www-opale.inrialpes.fr

Page 2: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

COOPERATIONCOOPERATION

PROMOTING SCIENTIFIC COOPERATION BETWEEN EUROPE AND CHINA

IN THE FIELD OF MULTIPHYSICS MODELING, SIMULATION, EXPERIMENTATION

AND DESIGN METHODS IN AERONAUTICS

PROSPECTIVE STUDY ON THE STATE OF THE ART OF MULTIDISCIPLINARY MODELING, SIMULATION AND VALIDATION IN AERONAUTICS

Page 3: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

AEROCHINA Data BaseWorkshopRoad map

Simulation, Experimentation and Design methods

Aeroelasticity

Aero/vibro acoustics

Drag prediction and reduction

RESEARCH CENTRESAND UNIVERSITIES INDUSTRIES

Critical industrial multi physics

problems

Database

Other Network connection: PIVnet

FLOWnet, Qnet, ERCOFTAC, PROMUVAL, EUROSHOCK,

AEROMEMS, AEROLIFT, HISAC, TAURUS, EUROPIV,

ENABLE, JEAN,...

Noise prediction and reduction

Web based activities

Multi-Physics Modelling , Numerical Analysis,

Experimentation, Design

Thermal flows

AeronauticsPropulsion

GOVERMENTAL INSTITUTIONS

Generic multi physic data

AEROCHINA Communication System

Pollution prediction and reduction

Fluid atmosphericenvironment

Safer design

Page 4: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

GOALS

Foster the cooperation between industry, university and research organizations in the aeronautics sector in Europe and China in the field of mathematical modelling, computer simulation and code validation, experimental testing and development of design guidelines methods for the solution of multiphysics problems of interest to the aeronautic sector.

12 Chinese partners: BUAA, AVIC 1, NUAA, HUST, ACTRI, …

12 European partners: EADS, Airbus, DLR, ONERA, CIMNE, …

Page 5: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

RoadmapTo identify and collect state of the art information on existing mathematical models and

computational methods in Europe and China for analysis of multidisciplinary problems in aeronautics.

To collect state of the art information on test case problems and experimental data available in Europe and China for validation of computational methods for analysis and optimization of multidisciplinary problems in aeronautics.

To identify critical future joint RTD areas in Europe and China for analysis and optimization of multidisciplinary problems in aeronautics using innovative computational methods and experimental tests.

To disseminate within Europe and China numerical and experimental data collected.

To define a strategy for analysis and design of multidisciplinary problems in aeronautics of interest to European and Chinese industry.

Page 6: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

MULTIDISCIPLINE APPLICATIONSMULTIDISCIPLINE APPLICATIONS

• SAFER

• COLLABORATIVE DESIGN

• QUIETER

• FUEL EFFICIENT

AERONAUTICSAERONAUTICS

• ENVIRONMENT FRIENDLY

• REDUCED DESIGN TO MARKET TIME

• PRODUCT LIFECYCLE MANAGEMENT

Page 7: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

‘‘‘‘STANDARD’’ TEST CASESTANDARD’’ TEST CASEWING PROFILE OPTIMISATION

Page 8: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

ONERA M6 SUPERSONIC WINGAOA = 3°, MACH 1.8

AIRFOIL OPTIMIZATIONAIRFOIL OPTIMIZATION3D WING PROFILE OPTIMISATION

Page 9: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

SUPERSONIC 3D OPTIMIZATIONSUPERSONIC 3D OPTIMIZATION

Page 10: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

Aeroelastic Simulation: M=0.8, Nz=1, Z=11277 mAeroelastic Simulation: M=0.8, Nz=1, Z=11277 m

M=0.8 , Cl=0.45

Jig Shape Deformed Shape

Alenia Aeronautica SMJ ConfigurationAlenia Aeronautica SMJ Configuration

Page 11: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

BODY, WING, NACELLE DESIGNBODY, WING, NACELLE DESIGN

Page 12: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

-300

-200

-100

0

100

200

300

-200-1000100200300400500600

Volet sortiBec sorti

Corps principal

MULTIDISCIPLINARY APPLICATIONSMULTIDISCIPLINARY APPLICATIONS

AERODYNAMICS & ACOUSTICS

Page 13: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

MULTIDISCIPLINE APPLICATIONSMULTIDISCIPLINE APPLICATIONSAERO-ACOUSTICSAERO-ACOUSTICS

• HIGH SOCIETAL IMPACT

• WIND MILL DESIGN: noise reduction

Page 14: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

MULTIDISCIPLINE APPLICATIONSMULTIDISCIPLINE APPLICATIONS

• VIRTUAL (FLIGHT) TESTS

• DIGITAL MOCKUPS

• EXTENSIVE USE OF SIMULATION

• OPTIMIZED EARLY DESIGN DECISIONS

AERONAUTICS, ENERGY, TELECOMMUNICATIONSAERONAUTICS, ENERGY, TELECOMMUNICATIONS, ..., ...

• INCREASING USE OPTIMIZATION

• ACCURACY MULTIDISCIPLINE OPTIMIZATIONS

• ACCURACY, CONVERENCE, VERIF. & VALID.

Page 15: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

MULTIDISCIPLINE APPLICATIONSMULTIDISCIPLINE APPLICATIONS

• AERO-ELASTICITY (CSM, weigth reduction)

• AERODYNAMICS (CFD, L/D efficiency…)

• VIBRO-ACOUSTICS (Sonic boom & cabin noise reduction)

• ELECTROMAGNETICS (RCS reduction)

AERONAUTICSAERONAUTICS

• AERO-COMBUSTION (SFC, engine NOx emissions)

• FLOW-CONTROL (vortex generators)

• FLIGHT MECHANICS COUPLING (flight dynamics)

Page 16: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

CHALLENGESCHALLENGES

• MULTIDISCIPLINARY DESIGN

• VIRTUAL FLIGHT TESTS

• 3D SIMULATION & OPTIMIZATION

• VERIFICATION & VALIDATION

Page 17: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

THE CHALLENGETHE CHALLENGE

CROSS-DOMAINSCROSS-DOMAINS

MULTIDISCIPLINE SIMULATION & OPTIMIZATION

AERONAUTICS, ENERGY, AERONAUTICS, ENERGY, TELECOMMUNICATIONS, …TELECOMMUNICATIONS, …

Page 18: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

FACING THE CHALLENGEFACING THE CHALLENGE

AERONAUTICS, TELECOM, …AERONAUTICS, TELECOM, …

USE INNOVATIVE COMPUTATIONAL METHODS !

Page 19: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

FACING THE CHALLENGEFACING THE CHALLENGE

BASED ON EVOLUTIONARY & HYBRID APPROACHES

GAME THEORY, GRADIENT-BASED, ADJOINTGAME THEORY, GRADIENT-BASED, ADJOINTFREE FORM DEFORMATION, ROBUST DESIGN…FREE FORM DEFORMATION, ROBUST DESIGN…MULTI-SCALE, HIERARCHIC OPTIMIZATION, …MULTI-SCALE, HIERARCHIC OPTIMIZATION, …DOMAIN DECOMPOSITION, …DOMAIN DECOMPOSITION, …

VERY WELL SUITED TO RUN ON THE GRID !

ROBUST, INHERENTLY PARALLEL, …ROBUST, INHERENTLY PARALLEL, …

Page 20: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

MULTI-PLAYER AIRFOIL OPTIMIZATIONMULTI-PLAYER AIRFOIL OPTIMIZATION

Page 21: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

APPLICATION EXAMPLEAPPLICATION EXAMPLEOPTIMISATION STRATEGY

Page 22: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

APPLICATION EXAMPLEAPPLICATION EXAMPLE

PERFORMANCE DATA

1 2 5 10 20 50 90 150

Processors

0

2

4

6

8

10

12

14

16

18

Sp

eed U

p

PHN-GA on PC-Cluster

Page 23: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

GRID INFRASTRUCTURE

DATABASE GENETICOPTIMIZER

MULTIDISCIPLINE

APPLICATION

SOFTWARE

CFD Solver

CFD Solver

DISTRIBUTED INTEGRATION PLATFORMDISTRIBUTED INTEGRATION PLATFORM

GRID COMPUTING

Page 24: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

CANDIDATE SOLUTIONS

CFD Solver

ProcessorP0

ProcessorP1

ProcessorP3

ProcessorP2

CFD Solver

ProcessorP0

ProcessorP1

ProcessorP3

ProcessorP2

CFDSolver

ProcessorP0

ProcessorP1

ProcessorP3

ProcessorP2

Genetic Algorithm

Parallelized with p processors

Genetic algorithm based on selection, mutation, crossover

NESTED LEVELS of PARALLELISMNESTED LEVELS of PARALLELISM

Page 25: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

VERIFICATION & VALIDATIONVERIFICATION & VALIDATIONCHALLENGE INNOVATIVE NUMERICAL METHODS

Page 26: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

• The integration of existing (verified and validated) tools/software must be supported different programming languages flexible interfaces

• Web-based support of an experts knowledge data base by forums, newsgroups, experts data base, V&V data base,…. ‘attractive room’ to bring single discipline parties close together

V&VV&V

Page 27: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

• Definition of effective and flexible interface structures in an early project phase

strong impact on success of a GRID integration platform

• General: High speed LAN and WAN for process communication data transfer required

but CFD simulations for complex configurations also require efficient libraries

(e.g. MPI) for distributed parallel systems (e.g. PC-cluster, grids), also.

• Complexity and flexibility of the GRID integration platform:

great flexibility in linkage of a lot of different tools and software required

to reduce the development risk a step by step approached could be helpful

• A high level of data security must be ensured in an early stage of the project otherwise

only trivial tasks will be tested and worked out on such a platform by industrial partners

V&VV&V

Page 28: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

GRID COMPUTINGGRID COMPUTING

• HIGH THROUGHPUT COMPUTING

• HIGH PERFORMANCE COMPUTING

• PETA-DATA MANAGEMENT

• LONG DURATION APPLICATIONS

NOT ONLY UTILITIES FOR…

AS USUAL…

Page 29: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

GOALGOAL

• ADVANCED COMPUTATIONAL METHODS for

• GRID COMPUTING and

• MULTIDISCIPLINARY SIMULATION & OPTIMIZATION

• CROSS-FERTILIZATION of

• TO SOLVE MULTIDISCIPLINARY DESIGN

BUT ALSO…

LARGE CROSS-DOMAIN IMPACT…

AERONAUTICS, ENERGY, TELECOM…

Page 30: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

CROSS-LEVERAGECROSS-LEVERAGE

• DOMAIN DECOMPOSITION METHODS

• EVOLUTIONARY METHODS (GAME THEORY, …)

• MULTIPLE CODE INSTANCES ON PC-CLUSTERS

• PARALLEL EXECUTION MULTIDISCIPLINE CODES

• NESTING SEVERAL LEVELS PARALLELISM

GRIDS & INNOVATIVE COMPUTATIONAL METHODS

• PARALLEL PROGRAMMING

Page 31: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

• Performance monitoring : dynamic load balancing

• Integrating applications with grid computing technology

• Service oriented architectures

• Virtual organisations : security, authentication, authorisa.

COUPLING w ONGOING EFFORTSCOUPLING w ONGOING EFFORTS

• Enabling applications technologies

• Standards : OGSA, Services, GT4, …

FOR FREE…

Impact: NGG OS, Services, …

Page 32: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

CONCLUSIONCONCLUSION

e.g. « VIRTUAL FLIGHT TESTS FOR DIGITAL DYNAMIC AIRCRAFT »

EMPOWERING END-USERS OF GRID-ENABLED APPs

CROSS-FERTILIZING INNOVATIVE NUMERICAL METHODS & GRID TECHNOLOGY

e.g. « OPTIMAL CELL PHONE ACOUSTICS & ELECTROMAGNETICS »

e.g. « RELIABLE POWER DELIVERY FOR NATIONWIDE NETWORKS »

Page 33: AERONAUTICS MULTIDISCIPLINARY APPLICATIONS

REFERENCESREFERENCES

[email protected]

Phone : +33 476 61 52 40

• http://www-opale.inrialpes.fr/cscwd2006.pdf

• http://www-opale.inrialpes.fr/ewhsff2005.ppt

• http://www.cimne.com/aerochina/

• http://www.cimne.com/promuval/

• http://www-opale.inrialpes.fr