Stochastic rocket dynamics under random nozzle side loads: Ornstein-Uhlenbeck boundary layer separation and its coarse grained connection to side loading and rocket response
R. G. Keanini, Nilabh Srivastava, Peter T. Tkacik, David C. Weggel, P., Douglas Knight

TL;DR
This paper models the stochastic dynamics of rocket response to altitude-dependent side loads caused by boundary layer separation, using Ornstein-Uhlenbeck processes to connect boundary layer behavior with overall rocket motion, validated against high-fidelity simulations.
Contribution
It introduces a novel analytical framework linking boundary layer separation dynamics to rocket response via OU processes, providing insights for response mitigation.
Findings
Model accurately predicts altitude-dependent response statistics.
Separation line behavior aligns with experimental side load distributions.
Analytical models suggest effective response reduction strategies.
Abstract
A long-standing, though ill-understood problem in rocket dynamics, rocket response to random, altitude-dependent nozzle side-loads, is investigated. Side loads arise during low altitude flight due to random, asymmetric, shock-induced separation of in-nozzle boundary layers. In this paper, stochastic evolution of the in-nozzle boundary layer separation line, an essential feature underlying side load generation, is connected to random, altitude-dependent rotational and translational rocket response via a set of simple analytical models. Separation line motion, extant on a fast boundary layer time scale, is modeled as an Ornstein-Uhlenbeck process. Pitch and yaw responses, taking place on a long, rocket dynamics time scale, are shown to likewise evolve as OU processes. Stochastic, altitude-dependent rocket translational motion follows from linear, asymptotic versions of the full nonlinear…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
