Estimation of Model Parameters in System-Level Simulation for Liquid Rocket Engines Using the Ensemble Kalman Filter

2019 ◽  
Author(s):  
Daiwa Sato ◽  
Seiji Tsutsumi ◽  
Miki Hirabayashi ◽  
Kaname Kawatsu ◽  
Toshiya Kimura
Keyword(s):  
Kalman Filter ◽  
Ensemble Kalman Filter ◽  
System Level ◽  
Model Parameters ◽  
Rocket Engines ◽  
System Level Simulation ◽  
Liquid Rocket Engines ◽  
Estimation Of Model Parameters ◽  
Liquid Rocket

EVALUATION OF SMD EFFECTS ON CHARACTERISTIC LENGTHS OF LIQUID ROCKET ENGINES USING ETHANOL/LOX AND RP-1/LOX

2020 ◽  
Author(s):  
Maurício Sá Gontijo ◽  
Gustavo Alexandre Achilles Fischer ◽  
FERNANDO DE SOUZA COSTA
Keyword(s):  
Rocket Engines ◽  
Liquid Rocket Engines ◽  
Liquid Rocket

scholarly journals Assimilation of Dynamic Combined Finite Discrete Element Methods Using the Ensemble Kalman Filter

2021 ◽  
Vol 11 (7) ◽  
pp. 2898
Author(s):  
Humberto C. Godinez ◽  
Esteban Rougier
Keyword(s):  
Kalman Filter ◽  
Ensemble Kalman Filter ◽  
Failure Modes ◽  
Split Hopkinson Pressure Bar ◽  
Peak Stress ◽  
Discrete Element ◽  
Material Behavior ◽  
Model Parameters ◽  
Hopkinson Pressure Bar ◽  
Parameter Values

Simulation of fracture initiation, propagation, and arrest is a problem of interest for many applications in the scientific community. There are a number of numerical methods used for this purpose, and among the most widely accepted is the combined finite-discrete element method (FDEM). To model fracture with FDEM, material behavior is described by specifying a combination of elastic properties, strengths (in the normal and tangential directions), and energy dissipated in failure modes I and II, which are modeled by incorporating a parameterized softening curve defining a post-peak stress-displacement relationship unique to each material. In this work, we implement a data assimilation method to estimate key model parameter values with the objective of improving the calibration processes for FDEM fracture simulations. Specifically, we implement the ensemble Kalman filter assimilation method to the Hybrid Optimization Software Suite (HOSS), a FDEM-based code which was developed for the simulation of fracture and fragmentation behavior. We present a set of assimilation experiments to match the numerical results obtained for a Split Hopkinson Pressure Bar (SHPB) model with experimental observations for granite. We achieved this by calibrating a subset of model parameters. The results show a steady convergence of the assimilated parameter values towards observed time/stress curves from the SHPB observations. In particular, both tensile and shear strengths seem to be converging faster than the other parameters considered.

A review of atomization in liquid rocket engines

1991 ◽  
Author(s):  
A. GHAFOURIAN ◽  
S. MAHALINGAM ◽  
H. DINDI ◽  
J. DAILY
Keyword(s):  
Rocket Engines ◽  
Liquid Rocket Engines ◽  
Liquid Rocket
Sign in / Sign up

Export Citation Format

Share Document