论文部分内容阅读
采用贝叶斯概率方法对在不确定输入作用下随机模型的模型参数进行定量化。对系统响应信号运用谱密度识别法进行模型修正。贝叶斯谱密度法运用快速傅里叶变换(FFT)对非线性动力系统结构参数的概率密度函数进行修正,不仅符合系统响应信号的概率分布,同时也适用于非线性系统参数识别。利用贝叶斯谱密度法,对两跨连续梁桥非线性系统结构模型进行修正。
The Bayesian probabilistic method was used to quantify the model parameters of stochastic models under uncertainty input. The system response signal using spectral density recognition method for model correction. Bayesian spectral density method is used to correct the probability density function of structural parameters of nonlinear dynamic system by fast Fourier transform (FFT), which not only accords with the probability distribution of the system response signal but also applies to the nonlinear system parameter identification. Using Bayesian spectral density method, the nonlinear system structural model of two-span continuous girder bridge is modified.