基于信息融合技术的结构模型修正研究
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摘要
提出基于信息融合技术的结构模型修正法.在概率思维条件下,采用二次响应面代替有限元模型,通过调整融合系数实现先验信息和实测信息的融合,并利用响应面自身特性和精度要求进行迭代修正.该方法计算量小,程序化高,易于工程应用,还可推广至非线性等复杂情况.某抽水蓄能电站地下厂房结构的有限元模型修正结果验证了该方法的有效性.
A new model updating method based on Bayes and information fusion is established.Samples are designed by test and second-order response surface is adopted as the fast operation model which can be easily modified and perfected by fully use of prior knowledge.This method can be generalized to large and complicated nonlinear structures for its computational efficiency and solution convergence.The underground powerhouse of pumped-storage power station is employed to verify the effectiveness of the method.
引文
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