Sensitivity
Partial changes show which variables have the largest effect on the objective.
Use sensitivities, structured searches, and guided iterations to improve an aircraft design.
A trade study changes one or more design variables, measures the response, and exposes where the design is most sensitive.
Partial changes show which variables have the largest effect on the objective.
Search for a better feasible design while respecting constraints and model limits.
Compare alternatives directly instead of optimizing a single variable in isolation.
Different strategies spend computation and engineering judgment in different ways.
Try many combinations, plot the results, and select the best feasible candidate.
Keep the strongest performers, then introduce mutations and cross-breeding over generations.
Use sensitivities and diagnostics to choose the next variable change toward a viable objective.
A table preserves the exact trade-study values; a grouped chart makes the sensitivity pattern immediately visible.
| Sweep | Aspect ratio | WTO (lb) | TSL (lbf) |
|---|---|---|---|
| 40° | 2.11 | 66,000 | 86,000 |
| 3.04 | 42,400 | 49,000 | |
| 4.75 | 41,600 | 45,000 | |
| 5.86 | 42,400 | 46,000 | |
| 50° | 2.11 | 58,000 | 66,700 |
| 3.04 | 43,400 | 47,800 | |
| 4.75 | 50,000 | 52,300 | |
| 5.86 | 54,500 | 57,300 | |
| 60° | 2.11 | 96,000 | 107,500 |
| 3.04 | 70,300 | 76,000 | |
| 4.75 | 83,000 | 85,600 | |
| 5.86 | 124,000 | 124,000 |
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.