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Aircraft Design and Performance (Wed)

Aircraft Design and Performance (Wed)

MDO Rev e w 1 AC Performance:Ch 2,3, & 4 MDO Reve w 2 AC Performance: Ch 5 MDO Rev e w 3 & 4 Ch 6 AC Performance: MDO Rev e w 5 Mattinely Ch.2, RaymerWeieht Balance IPPD Review I Dessn Review I IPPD Review 2 Desen Review 2 Week 7 is the Catch-upweek for both categories... Design Review I Sizing and Synthesis Paradigmshift Paretooptimal solutions Life cycle costs o RDT&E o procurement . operationsand support o disposal MADM techniques . OEC o TOPSIS O JPDM Responsesurfacemethodology . designof experiments o ANOVA Desien Review II Probabilisticdesign . methods(metamodel,FPI, etc.) . uncertaintyvs. risk o feasibilityvs. viability o TRLs TIES/TIF o differencebetweenthe two , . stgps l. problem definition 2. baseline& alternativeconceptsidentification 3. modeling and simulation 4. designspaceexploration 5. determinesystemfeasibility 6. technologyidentification 7. technologyevaluation 8. populatethe pugh matrix 9. technologyselection Mission spacemodeling PDF's and CDFs

RubberizedCycle / Engine

IPPD o o o . o o o o o o o

Review I Generic GeorgiaTech IPPD Methodology SevenManagementand PlanningTools Learning Curve SystemsEngineering o ConcurrentEngineeringvs MDO Life Cycle Cost Analysis UncertaintyAnalysis (uncertaintyvs risk) Utility functions EconomicAnalysis Design of Experiments Multi- Attribute Decision Making - MADM Joint Probability Decision Making - JPDM

IPPD Review II o o

o o o

StatisticalDistributions o Skewnessand Kurtosis Robust& Quality Design o Taguchi o Six Sigma . Cp, Cpk Overall Evaluation Criterion Mean SquaredDeviation Probabilisticvs. Deterministicvs. Stochastic

MDO Review l. Optimization Basics 1.1designvs. analysis,role of optimization 1.2 terminology, designspace,standardoptimizationform Kuhn-Tuckerconditions) 1.3 optimalityconditions(Hessianeigenvalues, 2. Numerical Optimization Methods 2.1 | -D optimization/linesearches - quadraticpolynomial interpolation - golden sectionalgorithm optimization 2.2 unconstrained - non-gradientmethods(randomwalk, CPS,univariate,Powell) - finite-differencingtechniquesfro gradients - gradientmethods(steepestdescent,Fletcher-Reeves) 2.3 indirect methodsfor constrainedproblems(penaltyfunctions) 2.4 directmethodsfor constrainedproblems

- method of feasibledirections - sequentiallinear and quadraticprogramming 2.5 satisfycingsolutionsvs. traditionaloptimum solutions 3. StochasticMethods 3.1geneticalgorithms 3.2 simulatedannealing 4. Approximate Methods 4.1 designof experimentsalrays - full and fractional factorial designs - 2 and 3 level DOE arrays 4.2 taguchi methods - orthogonalarrays(ANOM) - robust design(SAl1ratios) 4.3 responsesurfacemethodology - second-orderresponsesurfaceequations(regressionanalysis) - centralcompositedesigns(rotatableand face-centered) - saturateddesigns(d-optimality) 5. Multidisciplinary Design Optimization Methods 5.I multidisciplinarydesignenvironment - contributing analyses,designstructurematrices - design-oriented analyses,legacycodes,variablecomplexity 5.2 computationalframeworksfor collaborativedesign - code integrationoptions(monolithic codesvs. distributedcode frameworks) - current statusof advancedframework development coupling(decomposition) 5.3 hierarchicvs. non-hierarchic point iteration (and relaxation) fixed using traditional solution 5.4 5.5 optimization-baseddecomposition(with compatibility constraints) sensitivityanalysis 5.6 global sensitivityequation/system 5.7 multi-leveloptimizationschemes - collaborativeoptimization and concurrentsubspaceoptimization 5.8 state-of-the-artin MDO (recentdevelopmentsand examples)

List of Texts 1. Design/Performance a. Anderson'sIntro to Flight b. Anderson'sFundamentalsof Aerodynamics c. Anderson'sPerformance d. Mattingly's Aircraft Engine Design (excerptsfrom designclass) e. Raymer'sAircrafi Design (excerptsfor weight balance) f. Aerodynamicsfor Naval Aviators (Publishedby ASA) g. List of recommendedpapersfrom designclass h. Mavris' ONR slides:availableat

1/GT%20AS DL edu/researchteams/pdf/2OO http://www. asdl.gatech.

"h20ONRo/"2}B 1. erview"h2020O riet"/"2oT heoryo/"20and/o20"/o2OOv pdl i.

Dr. Michelle Kirby's Thesis:availableon the ASDL server

2 . I P P D/ M D O a. VanDerPlatts' Numerical Optimization Techniquesfor Engineering Design b. The Memory Jogger publishedby GOAUQPC c. Dieter's EngineeringDesign d. Pande'sThe SixSigma Way e. Hayter's Probability and Statistics f. MDO handouts,particularly on CollaborativeOptimization g. TlES-relatedpapersfrom the ASDL site