3.4.18 · D3Rocket Flight Mechanics

Worked examples — Fairing separation — altitude, dynamic pressure requirements

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See the parent for theory: 3.4.18 parent. Building blocks: Dynamic Pressure (Max-Q), Atmospheric Density Model — Scale Height, Rocket Equation & Mass Ratios, Aerodynamic Heating & Free-Molecular Flow, Ascent Trajectory Optimization.


Before we start — symbols, units, and one definition


The scenario matrix

Every problem this topic can pose falls into one of these cells. The examples below are labelled by cell so you can see the whole map is covered.

Cell What varies / the trap Example
A. Forward Given → find and , decide jettison Ex 1
B. Inverse (altitude) Given flux limit → solve for Ex 2
C. Inverse (velocity) Given and limit → what trips it Ex 3
D. Zero / degenerate , or () — no heating Ex 4
E. Limiting / scaling How does shift if doubles? (log behaviour) Ex 5
F. Trajectory twist Steeper/faster ascent → higher jettison altitude Ex 6
G. trade Mass penalty of carrying vs dropping the fairing Ex 7
H. Word / real-world Mission engineer's "is it safe yet?" call Ex 8

Setting the stage — one picture for all cases

Figure s01 plots, on a single vertical logarithmic scale, how two quantities fall as altitude rises (for a fixed ):

  • the cyan curve is dynamic pressure (in Pa),
  • the amber curve is heat flux (in ).

The horizontal axis is altitude in km (60→160). Notice both curves are straight lines on the log scale — that is the exponential density law showing itself (a log of an exponential is a straight line). The amber curve sits a factor above the cyan one, exactly the relation . The dashed white horizontal line marks the safe limit ; the dotted white vertical line where the amber curve crosses it is — read that intersection and you have read the answer to Example 2.

Figure — Fairing separation — altitude, dynamic pressure requirements

Cell A — Forward evaluation


Cell B — Inverse for altitude


Cell C — Inverse for velocity


Cell D — Zero and degenerate inputs


Cell E — Limiting / scaling behaviour


Cell F — Trajectory twist

Figure s02 plots the jettison altitude on the vertical axis in kilometres against the velocity at jettison on the horizontal axis in metres per second (range 2500→6000), using the closed form . The cyan curve rises slowly (it is a logarithm), and the two marked dots are the two trajectories of this example: the slower amber dot (A, at ) sits lower, the faster white dot (B, at ) sits higher. Look at how little the height (km) climbs for a big jump in speed (m/s) — that gentle slope is the whole lesson of the example. Follow the calculation, then check your numbers against those two dots.

Figure — Fairing separation — altitude, dynamic pressure requirements

Cell G — The trade


Cell H — Real-world call


Recall Quick self-test across the matrix

Which cell? "Given and the limit, find the speed that trips heating." ::: Cell C (inverse for velocity, cube root). Doubling raises by how much? ::: — only a log-sized change. Why can a 112 km "GO by altitude" still be NO-GO? ::: Because ; a fast trajectory keeps flux above limit even there. Dropping a 1000 kg fairing saved how much in Ex 7? ::: About 577 m/s. Is safe? ::: No — strict rule: equality is the last unsafe instant; jettison only when strictly below.