Exercises — Optimal staging — equal mass ratios (for same Isp)
3.3.46 · D4· Physics › Rocket Propulsion › Optimal staging — equal mass ratios (for same Isp)
Yeh page Optimal staging — equal mass ratios (for same Isp) ke liye ek graded workout hai. Har problem apna difficulty level batati hai aur ek full solution hide karti hai jise aapko sirf genuine attempt ke baad hi kholna chahiye. Agar koi symbol unfamiliar lage, toh yeh signal hai ki parent note ya uske prerequisites ko revisit karo: Tsiolkovsky rocket equation, Staging basics, Structural fraction, Payload fraction.
Poore time, hum in tools par rely karte hain:
Recall Teen formulas jo aap baar baar use karoge
Tsiolkovsky (ek burn): , jahaan mass ratio hai aur exhaust speed hai. Asli staging constraint (har stage ka leftover mass payload tak chain karo): identical stages ke liye optimal single ratio ( = structural fraction):
Level 1 — Recognition
Yeh test karte hain ki kya aap formulas padh sakte ho aur numbers plug in kar sakte ho. Koi cleverness required nahi.
Exercise 1.1 — Mass ratio padho
Ek stage kg par ignite hoti hai aur kg par burn out hoti hai. Iska mass ratio nikalo aur jo yeh deliver karta hai woh bhi, agar m/s ho.
Recall Solution
Hum kya karte hain: mass ratio bas "before over after" hai. kyun? Rocket equation kehta hai ki mass ka har equal fractional loss utni hi additive velocity deta hai — mass fractions ka yeh repeated multiplication logarithm ke neeche addition ban jaata hai. Toh:
Exercise 1.2 — Masses se structural fraction nikalo
Ek stage mein kg fuel aur kg structure hai. Structural fraction compute karo.
Recall Solution
Definition: structure divided by (structure + fuel) hai — stage ka "dead weight fraction".
Exercise 1.3 — Optimum ko words mein batao
Blanks fill karo (check karne ke liye reveal karo):
stages jo same aur same share karte hain, unke liye maximum tab hota hai jab saare mass ratios
Woh tool jo yeh prove karta hai (kyunki hum ek quantity ko ek constraint ke under maximize karte hain) woh hai
Level 2 — Application
Ab aap do ya teen formulas ko sequence mein assemble karte ho.
Exercise 2.1 — Do-stage rocket ke liye Optimal
kg, kg, , do stages. nikalo.
Recall Solution
Step 1 — nikalo. payload fraction ka -th root hai: Step 2 — optimal-ratio formula mein plug karo. Yeh formula kyun use karein aur kyun nahi? Woh simpler form sirf tab kaam karta hai jab ho. Yahaan structure real hai, toh hume woh version use karna hai jo include karta hai.
Exercise 2.2 — Optimal staging se total
Exercise 2.1 ko m/s ke saath continue karo. nikalo.
Recall Solution
Dono stages share karti hain, toh
Exercise 2.3 — Stage-1 ka fuel reconstruct karo
Exercise 2.1 ke rocket ke liye, stage 1 kitna fuel burn karta hai?
Recall Solution
Hum kya use karte hain: ek stage mein burn hua fuel initial mass times lost fraction hai, . Stage 1, kg par ignite hoti hai:
Level 3 — Analysis
Yahaan aap scenarios compare karte ho, ya formula ko "backwards" run karte ho.
Exercise 3.1 — Real structure ke saath equal vs unequal
Do stages, , m/s, kg, kg. Parent note ne equal solution find ki thi jo m/s deti thi. Ab unequal split try karo. Constraint use karke forced solve karo, aur compute karo. Kaun jeetega?
Recall Solution
Step 1 — do stages ke liye likho. Step 2 — plug karo. Step 3 — doosra factor solve karo. Cross-multiply: . Step 4 — compute karo. Conclusion: . Equal ratios jeette hain ~105 m/s se. Yeh woh strict advantage hai jo sirf tab appear hota hai jab ho — exactly wahi jo Lagrange argument predict karta hai.
Exercise 3.2 — Single-stage ceiling
ke saath, ek single stage maximum kitna mass ratio reach kar sakta hai (payload )? Kya ek single stage reach kar sakta hai?
Recall Solution
lo, toh . Jaise , : Ek single stage is ke saath kabhi bhi se aage nahi ja sakta. reach karne ke liye chahiye: ek stage mein impossible. Yahi pura reason hai ki staging exist karti hai — aap structure shed karte ho taaki ceiling se aage jaa sako.
Exercise 3.3 — Compounding ceiling ko beat karta hai
Do identical stages, har ek ke saath. Ideal () limit mein pair kaunsa effective mass ratio achieve karta hai? 3.2 ke single-stage ceiling se compare karo.
Recall Solution
limit mein constraint hai, toh ratios multiply hote hain: Har individual stage ka comfortably ceiling se neeche hai, phir bhi saath milke se zyada achieve karte hain — ek stage ke liye impossible. Staging mass ratios ko compound karta hai.
Level 4 — Synthesis
Multi-part problems jo poore chapter ko stitch karte hain.
Exercise 4.1 — Full three-stage design
Ek three-stage rocket design karo: kg, kg, per stage, m/s. (a) nikalo. (b) nikalo. (c) Stage 2 mein enter karne wala mass compute karo.
Recall Solution
(a) . (b) (c) Har stage mass ko factor se multiply karta hai: (Check: , . ✓)
Exercise 4.2 — Kya 4th stage worth it hai?
Wahi rocket as 4.1 lekin ab stages mein split karo ( each). compute karo aur 3-stage answer se compare karo. Interpret karo.
Recall Solution
. Compare: 3 stages ne 8247 m/s diya, 4 stages 8443 m/s deta hai — sirf 196 m/s (~2.4%) ka gain. Har extra stage kam help karta hai (diminishing returns) jabki real hardware, interstages aur complexity add karta hai jo model ignore karta hai. Real rockets 2–3 stages par rok lete hain.
Exercise 4.3 — Required back-solve karo
Aapko m/s chahiye, , , m/s, kg ke saath. Kitna launch mass required hai?
Recall Solution
Step 1 — needed per stage. : Step 2 — per-stage mass factor . Step 3 — constraint invert karo. , toh
Level 5 — Mastery
Yeh demand karte hain ki aap derive karo, sirf plug na karo.
Exercise 5.1 — Scratch se equal ratios prove karo (2 stages, )
ke saath constraint (fixed) hai. maximize karo aur calculus use karke prove karo ki optimum hai.
Recall Solution
Constraint eliminate karo. , toh Surprise: , mein constant hai! ideal case mein har split same deta hai (yeh parent note ki "equal beats unequal is not strict here" se match karta hai). Optimum degenerate hai — koi bhi split, including , optimal hai. Equal ratios ka theorem phir bhi kyun naam leta hai: ke equal hone ki strict preference sirf tab appear hoti hai jab constraint ko nonlinear banata hai (Ex 3.1 dekho). Equal ratios woh split hai jo dono regimes mein survive karta hai, isliye yeh safe design rule hai.
Exercise 5.2 — Lagrange derivation dikhata hai ki saare ek equation satisfy karte hain
General ke liye, hum maximize karte hain subject to . Dikhao ki sirf par depend karta hai, aur conclude karo ki saare equal hain.
Recall Solution
ka ek term differentiate karo. likho. Tab Aur . Lagrange condition har ke liye kehta hai: Key observation: is equation mein har quantity sirf ki function hai only (kyunki aur shared constants hain). Toh saare stages ek unknown mein identical equation satisfy karte hain. Aise well-behaved equation ka ek physical root hota hai ⇒ . Equal mass ratios optimal hain.
Exercise 5.3 — Sensitivity: galat aapko kitna cost karta hai
Aapne Ex 4.1 rocket design kiya tha (, planned , , m/s). Manufacturing heavier aayi: actual . recompute karo (same rakho lekin ke saath), nayi optimal aur loss nikalo.
Recall Solution
Same (unchanged — yeh sirf aur par depend karta hai). Loss: m/s. Structural fraction mein 2-percentage-point ki rise lagbhag 300 m/s cost karti hai — yeh dikhata hai ki real design mein lightweight structures (Structural fraction) par itna obsess kyun kiya jaata hai.
Recall Master check — ek ek karke reveal karo
equal- stages ke liye optimal rule ::: saare mass ratios equal, . ka formula ::: jahaan . Single-stage ceiling ::: . Hume Lagrange kyun chahiye, sirf AM–GM kyun nahi ::: ke liye product fixed nahi hota; asli constraint nonlinear hai.