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针对服役结构状态评估问题提出了基于虚功误差估计算子的统计分析方法.首先定义虚功误差来表达实际结构与参数化分析模型之间的差别,然后采用改进的牛顿算法推导分析模型结构识别算法.为了探讨在有测量误差的情况下算法的性能,引用Monte Carlo方法模拟测量数据,对测量数据的误差与识别结果的影响进行了详细的分析比较.根据识别结果确定它的概率分布,通过假设试验对服役结构状态评估进行统计分析.最后应用双跨五层刚架结构进行了大量数值模拟,计算结果显示了所提方法的有效性.
Aiming at the service state evaluation problem, a statistical analysis method based on virtual error estimation operator is proposed.First, the virtual error error is defined to express the difference between the actual structure and the parametric analysis model, and then the improved Newton algorithm is used to derive the analysis model structure identification Algorithm.In order to explore the performance of the algorithm in the presence of measurement error, Monte Carlo method is used to simulate the measurement data, the error of the measurement data and the impact of the recognition result are analyzed and compared in detail.According to the recognition result, It is assumed that the test performs statistical analysis on the evaluation of service structure status.Finally, a large number of numerical simulations are carried out with double-span five-story frame structure, and the calculation results show the effectiveness of the proposed method.