论文部分内容阅读
针对复杂结构动态概率分析,提出了高效率动态概率分析的极值响应面方法(ERSM)。首先介绍了动态概率分析的极值响应面方法基本原理,并推导出了其数学模型;其次,考虑机匣材料属性与边界条件的非线性、热载荷动态性以及多个随机变量,将该方法应用到高压涡轮机匣径向变形概率分析中,得出了各输入输出随机变量的分布特征和影响机匣径向动态变形的主要因素。与Monte Carlo法和响应面法进行比较,结果表明:ERSM在保证计算精度的前提下,既能大大缩短计算时间,又能提高计算效率,同时也验证了该方法的可行性和有效性。
Aiming at the dynamic analysis of complex structure, the extreme response surface method (ERSM) of high efficiency dynamic probability analysis is proposed. Firstly, the basic principle of extreme response surface method of dynamic probabilistic analysis is introduced and its mathematical model is deduced. Secondly, considering the nonlinearity of casing material properties and boundary conditions, the dynamic characteristics of thermal load and a number of random variables, Applied to the high-pressure turbine casing radial deformation probability analysis, the distribution characteristics of the input and output random variables and the main factors that affect the radial dynamic deformation of the casing are obtained. Compared with Monte Carlo method and response surface method, the results show that ERSM not only can greatly shorten the calculation time but also improve the computational efficiency, while verifying the feasibility and effectiveness of the method.