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Probabilistic reliability analysis of carbon/carbon composite nozzle cones with uncertain parameters

Probabilistic reliability analysis of carbon/carbon composite nozzle cones with uncertain parameters
Probabilistic reliability analysis of carbon/carbon composite nozzle cones with uncertain parameters
A methodology to perform the probabilistic and reliability-based design of a novel carbon/carbon rocket nozzle subjected to operational thermal and mechanical loads is described in this paper. In this methodology, the nozzle is represented by a multiphysics finite element model capable of predicting the temperature and stress fields of the exit cone. The analysis shows that the most likely failure modes of the exit cone are related to compressive stress along the axial and hoop directions, as well as interlaminar shear. The probabilistic models used in this methodology account for the uncertainty of the material properties by using uniform and normal distributions and different variances. The reliability analysis is performed by using surface response methods. A global sensitivity analysis is also carried out using polynomial expansion chaos surface response models. A particular novelty of the analysis is the use of Sobol indices to rank the importance of the single uncertain parameters in the models. The methodology provides a high level of confidence and robustness in determining that the axial thermal conductivity of the carbon/carbon material is the most critical material property to affect the three main failure modes, whereas the coefficient of the thermal expansion and the heat capacity play a very marginal role.
0022-4650
1765-1774
Xie, Weihua
07e7c5ae-e7a0-45d4-b993-70e251ea6ef7
Yang, Yuanjian
5696694a-7386-4847-9e47-7d2eb7f34fcd
Meng, S.
92f4d9b2-0bdb-432e-821b-5d20e6bd35ef
Peng, Tao
6f30f6b5-9557-43dd-8ac1-5c8357b5b240
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Scarpa, F.
684472c3-1a28-478a-a388-5fd896986c1d
Xu, Chenghai
7aec8a4e-5a25-471f-87f8-5735c82561f9
Jin, Hua
27d5842f-a752-4098-9f84-3c4a93396746
Xie, Weihua
07e7c5ae-e7a0-45d4-b993-70e251ea6ef7
Yang, Yuanjian
5696694a-7386-4847-9e47-7d2eb7f34fcd
Meng, S.
92f4d9b2-0bdb-432e-821b-5d20e6bd35ef
Peng, Tao
6f30f6b5-9557-43dd-8ac1-5c8357b5b240
Yuan, J.
4bcf9ce8-3af4-4009-9cd0-067521894797
Scarpa, F.
684472c3-1a28-478a-a388-5fd896986c1d
Xu, Chenghai
7aec8a4e-5a25-471f-87f8-5735c82561f9
Jin, Hua
27d5842f-a752-4098-9f84-3c4a93396746

Xie, Weihua, Yang, Yuanjian, Meng, S., Peng, Tao, Yuan, J., Scarpa, F., Xu, Chenghai and Jin, Hua (2019) Probabilistic reliability analysis of carbon/carbon composite nozzle cones with uncertain parameters. Journal of Spacecraft and Rockets, 56 (6), 1765-1774. (doi:10.2514/1.A34392).

Record type: Article

Abstract

A methodology to perform the probabilistic and reliability-based design of a novel carbon/carbon rocket nozzle subjected to operational thermal and mechanical loads is described in this paper. In this methodology, the nozzle is represented by a multiphysics finite element model capable of predicting the temperature and stress fields of the exit cone. The analysis shows that the most likely failure modes of the exit cone are related to compressive stress along the axial and hoop directions, as well as interlaminar shear. The probabilistic models used in this methodology account for the uncertainty of the material properties by using uniform and normal distributions and different variances. The reliability analysis is performed by using surface response methods. A global sensitivity analysis is also carried out using polynomial expansion chaos surface response models. A particular novelty of the analysis is the use of Sobol indices to rank the importance of the single uncertain parameters in the models. The methodology provides a high level of confidence and robustness in determining that the axial thermal conductivity of the carbon/carbon material is the most critical material property to affect the three main failure modes, whereas the coefficient of the thermal expansion and the heat capacity play a very marginal role.

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Published date: 2019

Identifiers

Local EPrints ID: 478814
URI: http://eprints.soton.ac.uk/id/eprint/478814
ISSN: 0022-4650
PURE UUID: 4ee7fa3e-c3f6-4854-a633-aa54f511c9c4
ORCID for J. Yuan: ORCID iD orcid.org/0000-0002-2411-8789

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Date deposited: 11 Jul 2023 16:37
Last modified: 17 Mar 2024 04:20

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Contributors

Author: Weihua Xie
Author: Yuanjian Yang
Author: S. Meng
Author: Tao Peng
Author: J. Yuan ORCID iD
Author: F. Scarpa
Author: Chenghai Xu
Author: Hua Jin

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