结构施工过程中节段参数的连续识别

通过考虑施工因素的相关性,将随机结构分析的概念引入结构施工过程的节段参数识别中。再考虑施工过程中结构体系不断变化的特点,进行系统重构,将节段参数的相关信息引入识别过程。最后根据最大后验概率的参数估计准则,推导得到了对多个节段参数的均值和方差进行连续识别的递进估计算法。数值算例的结果显示,通过考虑实际施工中的相关信息,本文方法对结构施工过程中的节段参数不仅能进行有效的识别,还具有良好的预测功能,可对施工过程控制进行指导。

SEQUENTIAL ESTIMATION OF SEGMENTAL PARAMETERS DURING STRUCTURAL CONSTRUCTION PROCESS

In structural construction practice, it happens frequently that the same construction factors such as materials, machines and workers may be used in different construction stages. Concerning this realistic property, in this paper, segmental parameters are used to account for the distribution of a correlated random field. In addition, estimation system is rebuilt to contain all the uncertain segmental parameters for importing the correlation information into the estimation formula. Finally, a sequential estimation formula based on maximum a posteriori criteria is proposed to estimate the mean values and standard deviations of the uncertain segmental parameters. Numerical examples are presented to show that the proposed formula can be used not only for updating the segmental parameters existing in current substructure, but also for predicting the segmental parameters appearing in later substructure, which both can play instructive roles in construction simulation and control.