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v0.9.1 · 2026-08-25
AE481 · Lesson 8

Optimization and Trade Studies

Use sensitivities, structured searches, and guided iterations to improve an aircraft design.

Sensitivities reveal the trade space

A trade study changes one or more design variables, measures the response, and exposes where the design is most sensitive.

Sweep, deg (X)Aspect Ratio (Y)Weight (W) (Z)
Current Weight (W)—

Sensitivity

Partial changes show which variables have the largest effect on the objective.

Optimization

Search for a better feasible design while respecting constraints and model limits.

Trade study

Compare alternatives directly instead of optimizing a single variable in isolation.

Optimization strategies

Different strategies spend computation and engineering judgment in different ways.

Shotgun

Try many combinations, plot the results, and select the best feasible candidate.

  • Simple and transparent
  • Can be computationally expensive

Genetic algorithm

Keep the strongest performers, then introduce mutations and cross-breeding over generations.

  • Explores broad spaces
  • May settle in a local minimum

Marching / guided

Use sensitivities and diagnostics to choose the next variable change toward a viable objective.

  • Usually converges faster
  • Requires engineering judgment

Optimization loop

Choose a design → evaluate constraints and objective → diagnose sensitivities → change a variable → repeat until the design is both feasible and good.

Presenting results

A table preserves the exact trade-study values; a grouped chart makes the sensitivity pattern immediately visible.

Gross-weight trade-study data

SweepAspect ratioWTO (lb)TSL (lbf)
40°2.1166,00086,000
3.0442,40049,000
4.7541,60045,000
5.8642,40046,000
50°2.1158,00066,700
3.0443,40047,800
4.7550,00052,300
5.8654,50057,300
60°2.1196,000107,500
3.0470,30076,000
4.7583,00085,600
5.86124,000124,000
Gross Weight Sensitivity to Wing Aspect Ratio and Sweep035,00070,000105,000140,0002.113.044.755.86Aspect RatioTakeoff Gross Weight, lb40° sweep50° sweep60° sweep

Genetic Algorithm – 5GAT

A real design program evolves concepts through modeling, trade studies, wind-tunnel testing, and detailed structural analysis—carrying the strongest feasible configuration forward at every stage.

1 · Phase 1 conceptsModeling and analysis establish the first population.
2 · S&C studyRetain strong designs; introduce crossbreeds and mutations.
3 · Wing sweepCompare sweep alternatives and refine the survivors.
4 · Wing/tail variationExplore coupled planform and empennage changes.
5 · Large-scale testValidate the leading concepts in the wind tunnel.
6 · Final survivorAdvance the selected aircraft to structural analysis.
5GAT aircraft concepts, wind-tunnel models, structural studies, and final survivor aircraft from the source slide
The source images show the design population narrowing across successive generations.Model → test → select → refine