Lesson 7 · 40 min

From Requirements to a Concept: Trade Studies

With the requirements written and the mission drawn, the designer needs a concept, usually several, and a fair way to choose between them. Then comes the question every customer should ask and few do: what does each requirement cost? This lesson closes the design wheel of Lesson 1, from the requirements back to the requirements.

Learning objectives

Generating concepts

Conceptual design begins with a sketch, and a designer should draw several. A morphological chart keeps the options honest: list each design choice and its alternatives, then build concepts by picking one option from each row.

A morphological chart for a transport aircraft (options, not recommendations)
ChoiceOptions
Wing positionLow · mid · high
WingCantilever, moderate aspect ratio · strut-braced, high aspect ratio · blended wing body
TailConventional · T-tail · V-tail · canard
EnginesTurbofans under the wing · turbofans on the aft fuselage · turboprops on the wing · open rotors at the tail
Number of engines2 · 3 · 4
Landing gearWing-mounted main gear · fuselage pods

Requirements prune the chart quickly. A short, rough-field requirement favours a high wing (ground clearance for propellers and flaps, an easy cargo floor) and turboprops. Fuel burn favours high aspect ratio and high bypass, both limited by the span box and the ground clearance. A strong noise requirement favours engines shielded by the airframe. History (Module 1) is also a filter: a configuration that has been tried and abandoned many times needs a very good reason to be tried again.

Choosing: the weighted decision matrix

Concepts are compared against criteria drawn from the requirements: fuel burn, cost, field performance, technical risk. Each criterion gets a weight \(w_i\) (the weights add to 1) and each concept a score \(s_{ij}\) on each criterion, say 1 (poor) to 5 (excellent). The total for concept \(j\) is

Weighted score

\[ S_j = \sum_i w_i\,s_{ij}, \qquad \sum_i w_i = 1 \]

A Pugh matrix is a simpler version: each concept is marked better (+), the same (0) or worse (−) than a reference concept on each criterion.

Example 7.1 — Three concepts for a new narrow-body

Concept A is a conventional low wing with underwing turbofans; B has open rotors at the tail; C has a strut-braced, high-aspect-ratio wing. The team scores them (5 is best; for risk, 5 means least risk):

Scores and weights
CriterionWeightABC
Fuel burn per seat0.40354
Acquisition cost0.25423
Field performance0.10334
Technical risk0.25523

Which concept ranks first? How sensitive is the answer?

Show solution
\[ S_A = 0.40(3) + 0.25(4) + 0.10(3) + 0.25(5) = 3.75 \] \[ S_B = 0.40(5) + 0.25(2) + 0.10(3) + 0.25(2) = 3.30 \] \[ S_C = 0.40(4) + 0.25(3) + 0.10(4) + 0.25(3) = 3.50 \]

A ranks first, but by a small margin over C. Raise the weight on fuel burn from 0.40 to just over 0.5 (as a rise in fuel prices might) and the ranking turns over completely, to B, then C, then A: Figure 7.1 shows where the lines cross. A ranking that changes with a small change in the weights is a signal to study the leading concepts in more depth rather than to declare a winner.

Figure 7.1 The weighted scores of Example 7.1 as the weight on fuel burn changes (the other weights shrink in proportion so that all four add to 1). Move the sliders to set your own weights. Where two lines cross, the ranking flips.

The cost of a requirement

Every requirement costs something. The most useful currency in conceptual design is takeoff weight, since cost, fuel burn and engine size all grow with it. Combine the sizing equation of Module 1 with the mission fuel fraction of Lesson 5:

Takeoff weight as a function of design range

\[ \Wo = \frac{W_{\text{crew}} + W_{\text{payload}}}{1 - \dfrac{\Wf}{\Wo} - \dfrac{\We}{\Wo}}, \qquad \frac{\Wf}{\Wo} = 1.06\left[1 - 0.970(0.985)(0.995)\,e^{-R\,C/(V\,L/D)}\right] \]

Treat \(\We/\Wo\) as fixed for a first look, or use a statistical trend (Module 3 does it properly). The range enters only through the fuel fraction.

Example 7.2 — What does 1000 km more range cost?

A jet transport carries \(18\,000\ \text{kg}\) of crew and payload, cruises at \(850\ \text{km/h}\) with \(L/D = 16\) and \(C = 0.55/\text{h}\), and has \(\We/\Wo = 0.50\). Find \(\Wo\) for a design range of \(5000\ \text{km}\) and of \(6000\ \text{km}\).

Show solution
\[ R = 5000:\ \ e^{-5000(0.55)/(850(16))} = e^{-0.2022} = 0.8169 \] \[ \frac{\Wf}{\Wo} = 1.06[1 - 0.9507(0.8169)] = 0.2368 \] \[ \Wo = \frac{18\,000}{1 - 0.2368 - 0.50} = \frac{18\,000}{0.2632} = 68\,380\ \text{kg} \] \[ R = 6000:\ \ e^{-0.2426} = 0.7846 \] \[ \frac{\Wf}{\Wo} = 0.2694 \] \[ \Wo = \frac{18\,000}{0.2306} = 78\,060\ \text{kg} \]

A 20% longer range costs 14% more takeoff weight, about 9.7 t, with a bigger wing and bigger engines to match, on every aircraft built. If only a few routes in the market need the extra 1000 km, the customer should hear that number before insisting on it.

Figure 7.2 Takeoff weight against design range for the aircraft of Example 7.2. The curve steepens without limit: past some range, the fuel and empty-weight fractions leave nothing for the payload, and no aircraft of this technology can close. Better technology (a higher \(L/D\), a lower \(C\) or \(\We/\Wo\)) pushes this range wall out.

The growth factor

The same equation prices every kilogram added to the aircraft. With the fractions held fixed, \(\Wo\) is proportional to the crew and payload, so

Growth factor (fixed fractions)

\[ \frac{\Delta\Wo}{\Delta W_{\text{payload}}} = \frac{1}{1 - \Wf/\Wo - \We/\Wo} = \frac{\Wo}{W_{\text{crew}} + W_{\text{payload}}} \]

In Example 7.2 at \(5000\ \text{km}\), the growth factor is \(1/0.2632 = 3.8\): a requirement that adds \(500\ \text{kg}\) of fixed equipment (a bigger galley, a new avionics suite) adds about \(1900\ \text{kg}\) to the takeoff weight once the wing, engines and fuel have grown to carry it. That is the weight snowball of Module 1 seen from the requirements side. (The empty-weight fraction in reality falls slightly as the aircraft grows, which tempers the factor a little.)

Closing the loop: the compliance matrix

At each turn of the wheel, the team checks the design against every requirement in a compliance matrix: the requirement, the value the current design achieves, how it was shown (analysis, test, inspection), and the margin. For the narrow-body of Lessons 3 and 4 it might begin:

A requirements compliance matrix (first rows)
RequirementRequiredCurrent designShown byStatus
Range, 150 passengers at 100 kg, reservesat least 5000 km6048 km (Example 3.2)AnalysisMet, +21%
Approach categoryC (\(V_{\text{REF}} \le 140\ \text{kt}\))\(\WS\) set to 556 kg/m² at landing (Example 4.1)AnalysisMet by design
Wingspanunder 36 m (code C)\(A \le 10.6\) at 122 m² (Example 2.3)InspectionMet by design
Second-segment climb, one engine out2.4% gradient\(\TW \ge 0.248\) needed (Example 4.2)AnalysisEngine not yet chosen

A large margin is not good news: the 21% range margin above means the aircraft is carrying fuel capacity and weight it does not need for the requirement, so either the requirement can grow (a selling point) or the design can shrink. A requirement that cannot be met at an acceptable weight goes back to the customer with its price attached. That conversation, informed by trades like Example 7.2, is the arrow from "sizing and trade studies" back to "requirements" in Figure 1.1.

Check your understanding

Key takeaways