Title :
Solid rocket motor grain life prediction based on probability model
Author :
Zhang, Jianwei ; Liang, Guoqiang ; Sun, Bing
Author_Institution :
Sch. of Astronaut., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
A life prediction model of probability statistics is introduced in this paper. On the basis of experiment research, grain life prediction is made by the life prediction model using probability statistics. Firstly, viscoelasticity structure analysis and stochastic structure analysis of grain are implemented and maximum strain and variance are figured out. In stochastic structure analysis, viscoelasticity random finite element method is used. Then the experiment data of billet natural aging and motor dissection are processed respectively. Based on above analysis, grain life is studied by model using probability statistics on basis of two experiments data. In the end, comparison of the ignition test of motor with flight test shows that it is reasonable to determine grain life by the motor dissection experiment data, and grain life resulting from billet natural aging experiment data is shorter than its real life.
Keywords :
aerospace propulsion; ageing; aircraft testing; billets; finite element analysis; ignition; life testing; probability; propellants; stochastic processes; viscoelasticity; billet natural aging; flight test; grain life prediction; motor ignition test; probability model; random finite element method; solid rocket motor dissection; stochastic structure analysis; viscoelasticity structure analysis; Aging; Analytical models; Predictive models; Probability; Propulsion; Strain; Stress; grain; life prediction; probability statistics; random finite element; solid rocket motor; viscoelastic;
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-61284-667-5
DOI :
10.1109/ICRMS.2011.5979488
