复合材料压力容器的概率与区间可靠性设计

doi:10.3969/j.issn.1001-2400.2017.01.009

Abstract

Abstract:

Considering the randomness or interval character of physical parameters and applied loads of composite pressure vessels (COPV), the COPV reliability-analyzing model is built. And then the computational expressions for the mean value, standard deviation and deviation of fiber stress are deduced by the random factor method. The probabilistic and interval reliability designs on COPV are implemented by utilizing the probabilistic method and interval method combined with the improved particle swarm optimization (PSO) algorithm, respectively. The influence of fluctuation of structure uncertain parameters on COPV design thickness is inspected. Finally, examples are given to demonstrate that both probabilistic and interval reliability methods can satisfy the safety requirement and both are of higher rationality than the traditional safety factor method. And probabilistic method has a lower relative error but a higher computational complexity contrasted with the interval method.

Key words: composite material, pressure vessel, random factor, improved particle swarm optimization algorithm, probabilistic reliability, interval reliability

LIN Feng;CHEN Jianjun;CAO Hongjun. Probabilistic and interval reliability design of the composite pressure vessel[J].Journal of Xidian University, 2017, 44(1): 45-51.

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Probabilistic and interval reliability design of the composite pressure vessel

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