输入信息不完备情况下的混和修正识别法

STUDY ON MIXED CORRECTION IDENTIFICATION METHOD WITH INCOMPLETE INPUT INFORMATION

回顾输入信息测试不完备条件下的结构识别问题,并对近年来提出的基于最小二乘类的时域复合反演算法做了深入研究,在统计平均算法的基础上提出了加权平均算法。同时针对满足多个修正条件的结构情况,结合补偿算法,提出混和修正识别法。最后以地震动未知情况下的桁架桥结构为例来说明了算法的可行性。

Structural identification with incomplete input information is reviewed,and the multiple inversion method based on the least square method is further studied.Based on the statistical average approach,a new weighted average approach for the multiple inversion method is put forwarded.Further more,for structures with more than one correction condition,combined with the compensation approach,a new approach called mixed correction identification method is proposed.At last,as numerical example,a truss bridge with unknown ground motion is identified and the results show the effectiveness of the proposed method.