Hypersonic Vehicle Analyses: The Needs and Challenges of Multidisciplinary Simulations - presented by Prof. Iain Boyd

Hypersonic Vehicle Analyses: The Needs and Challenges of Multidisciplinary Simulations

Prof. Iain Boyd

Prof. Iain Boyd
Slide at 43:34
CENTER FOR
NATIONAL
SECURITY
Multidisciplinary Optimization
INITIATIVES
Particle Swarm Optimization Algorithm
Control
CAV-H
3DoF Dynamics
parameters
Aerodynamics
Heating Database
- CFD (LeMANS)
Cost
Function/Constraints
Upper/Lower bound
Ju= -WD2-(1-W)C} -
W = 1
optimize downrange
cost functions (W E [0, 1]): JL = WD? - (1 - W)C2
W = 0
optimize crossrange
University of Colorado
Boulder
Be Boulder.
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Summary (AI generated)

We conduct our analyses within the AAA Multidisciplinary Optimization framework using a Particle Swarm Optimization Algorithm. The core of the analysis involves a three-dimensional dynamics system of equations with weakly coupled heating. We have created a database of thousands of CFD calculations with Lemon to provide high-fidelity interpolated predictions of heating for trajectory constraints. To impose constraints, we utilize different cost functions for optimizing downrange and crossrange distances.

In this study, we are examining the effects of the chemistry model on trajectory design through constraints on heat transfer and air chemistry modeling.