# [1]张剑,叶见曙.基于有限曲条理论弯箱梁桥位移参数的动态Bayes-CG估计[J].东南大学学报(自然科学版),2006,36(2):272-277.[doi:10.3969/j.issn.1001-0505.2006.02.019] 　Zhang Jian,Ye Jianshu.Dynamic Bayes-CG estimation of displacement parameters of curved box girder bridge based on FCS theory[J].Journal of Southeast University (Natural Science Edition),2006,36(2):272-277.[doi:10.3969/j.issn.1001-0505.2006.02.019] 点击复制 基于有限曲条理论弯箱梁桥位移参数的动态Bayes-CG估计() 分享到： var jiathis_config = { data_track_clickback: true };

36

2006年第2期

272-277

2006-03-20

## 文章信息/Info

Title:
Dynamic Bayes-CG estimation of displacement parameters of curved box girder bridge based on FCS theory

Author(s):
College of Transportation, Southeast University, Nanjing 210096, China

Keywords:

U441
DOI:
10.3969/j.issn.1001-0505.2006.02.019

Abstract:
Displacement parameters of curved box girder bridge are dynamically estimated by applying Bayes-CG method. Based on Novozhilov theory, the FCS(finite curried strip)controlling equation of pinned curved box girder bridge is derived and the coupling problem between the elements of FCS(finite curved strip)stiffness matrix is resolved by using the orthogonal property of harmonious function. With flexibility method, the indeterminate problem of segregating slab of curved box girder bridge is solved. Dynamic Bayesian error function of displacement parameters of curved box girder bridge is founded for the first time based on Bayesian theory. The corresponding formulas of dynamic Bayesian expectation and variance are derived. After the method of solving the automatic search of step length is broached, the optimization estimation computing formulas are also obtained by adapting CG method. Then the steps of dynamic Bayesian estimation are given in detail. Through analysis of a typical example, the conclusions are drawn: FCS method with few strip elements and precise results is an efficient computational method for curved box girder bridge; displacement parameters of curved box girder bridge can be correctly estimated with Bayes-CG method and when the pre-known information is proper, displacement parameters are steadily convergent to the true values.

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