摘要
With dynamic reliability problems of stochastic parameters,supercavity vehicle is subject to impact loads.The supercavity vehicle is modeled by using eight-node super-parametric shell elements.The tail impact loads of supercavity vehicle structures are simplified into two stationary random processes with a certain phase difference,and the random excitations are transformed into sinusoidal ones in terms of the pseudo excitation method.The stress response of stochastic structure can be obtained through combining Newmark method with pseudo excitation perturbation method,and then all required digital features for dynamic reliability of supercavity vehicle have be calculated.The expressions of the mean value and the variance of dynamic reliability of supercavity vehicle with stochastic parameters are educed on the basis of the Poisson formula of calculating dynamic reliability.Finally,the influence of the randomness of structural parameters on the dynamic reliability is analyzed.And the feasibility and availability of this method were validated by comparing with the Monte Carlo method.
With dynamic reliability problems of stochastic parameters, supercavity vehicle is subject to impact loads. The supercavity vehicle is modeled by using eight-node super-parametric shell elements. The tail impact loads of supercavity vehicle structures are simplified into two stationary random processes with a certain phase difference, and the random excitations are transformed into sinusoidal ones in terms of the pseudo excitation method. The stress response of stochastic structure can be obtained through combining Newmark method with pseudo excitation perturbation method, and then all required digital features for dynamic reliability of supercavi- ty vehicle have be calculated. The expressions of the mean value and the variance of dynamic reliability of su- percavity vehicle with stochastic parameters are educed on the basis of the Poisson formula of calculating dynam- ic reliability. Finally, the influence of the randomness of structural parameters on the dynamic reliability is ana- lyzed. And the feasibility and availability of this method were validated by comparing with the Monte Carlo method.
