论文部分内容阅读
针对舵面颤振系统中存在的不确定性问题,考虑参数的随机分布,利用蒙特卡罗模拟(MCS,Monte Carlo Simulation)和非浸入式随机多项式(NIPC,Non-Intrusive Polynomials Chaos)两种方法进行概率颤振分析,以对结构稳定性和颤振风险进行评估.选取一个存在非线性因素的典型三维舵面作为研究对象,考虑舵机弯曲刚度和扭转刚度两个不确定性变量均满足高斯分布,基于MCS和NIPC两种方法开展不确定性定量分析工作.MCS方法选取大量的样本进行颤振计算,而随机多项式方法利用配点法建立代理模型,以此获得大量的颤振信息,进而得到舵面系统发生颤振的危险速度区域及给定速度下系统发生颤振的概率,并对两种方法的置信水平、计算精度和计算效率进行了比较分析.结果表明,以不确定性量化为基础的概率颤振分析方法能充分利用不确定参数的概率信息对结构系统的颤振风险做出评定.
Aiming at the problem of uncertainty in the control surface flutter system, considering the random distribution of parameters, Monte Carlo simulation (MCS) and Non-Intrusive Polynomials Chaos (NIPC) The probability flutter analysis is carried out to evaluate the structural stability and the flutter risk.A typical three-dimensional rudder surface with nonlinear factors is selected as the research object, considering that the two uncertain variables of the flexural rigidity and torsional stiffness of the servo satisfy Gauss Distribution, and based on MCS and NIPC two methods to carry out the uncertainty of quantitative analysis.MMCS method to select a large number of samples flutter calculation, and stochastic polynomial method using the matching point method to establish a proxy model, in order to obtain a lot of flutter information, and then get The dangerous velocity region of flutter and the probability of flutter of the system at a given speed are compared and the confidence level, calculation accuracy and computational efficiency of the two methods are compared and analyzed.The results show that the uncertainties quantify as The basic probability flutter analysis method can make full use of the probability information of uncertain parameters to evaluate the flutter risk of the structural system.