A modified finite segment method for thin-walled single-cell box girders with shear lag

Author(s):  
Q. Z. Luo ◽  
Q. S. Li ◽  
D. K. Liu ◽  
L. F. Yang
2009 ◽  
Vol 58 (6) ◽  
pp. 4002
Author(s):  
Wu You-Ming ◽  
Yue Zhu-Feng ◽  
Lyu Zhen-Zhou

2021 ◽  
Vol 233 ◽  
pp. 111867
Author(s):  
Xiayuan Li ◽  
Shui Wan ◽  
Yuanhai Zhang ◽  
Maoding Zhou ◽  
Yilung Mo

2012 ◽  
Vol 538-541 ◽  
pp. 1701-1704
Author(s):  
You Ming Wu ◽  
Yong Jun Lu ◽  
Han Shi

The homogeneous solutions of the governing differential equations for shear lag are used as the displacement patterns of the finite segment are presented. A finite segment model with consideration of initial curvature, bending, torsion and shear lag is established. In addition, the tests of the two-span continuous curved box girder and numerical calculations of the model tests by finite segment method and finite element method are made. The results of the model tests and numerical calculation are consistent with each other. An actual example was given to investigate the shear lag effect of a continuous curved box girder under load. The research results show that the initial curvature has an obvious influence on the shear lag effect of a continuous curved box girder.


2001 ◽  
Vol 23 (11) ◽  
pp. 1461-1468 ◽  
Author(s):  
L.F. Yang ◽  
A.Y.T. Leung ◽  
Q.S. Li

2011 ◽  
Vol 194-196 ◽  
pp. 1165-1169
Author(s):  
Yu Hong Zhang ◽  
Zi Jiang Yang ◽  
Shi Zhong Liu

In this paper, a equivalent-section method of analyzing shear lag effects in box girders is presented. The effect of two major parameters on shear lag is investigated for cantilever and continuous box girders with variable section under two kinds of loads. It is shown that the span-width ratio, in addition to the flange stiffness to total stiffness ratio, has a significant influence on the shear lag. Finally, conclusions are drawn with regard to further study and research.


2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Xingwei Xue ◽  
Jiawei Wu ◽  
Junlong Zhou ◽  
Hongnan Li

A finite segment method is presented to analyze the mechanical behavior of skewed box girders. By modeling the top and bottom plates of the segments with skew plate beam element under an inclined coordinate system and the webs with normal plate beam element, a spatial elastic displacement model for skewed box girder is constructed, which can satisfy the compatibility condition at the corners of the cross section for box girders. The formulation of the finite segment is developed based on the variational principle. The major advantage of the proposed approach, in comparison with the finite element method, is that it can simplify a three-dimensional structure into a one-dimensional structure for structural analysis, which results in significant saving in computational times. At last, the accuracy and efficiency of the proposed finite segment method are verified by a model test.


Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2597 ◽  
Author(s):  
Sheng Shen ◽  
Shao-Fei Jiang

Distributed deformation based on fiber Bragg grating sensors or other kinds of strain sensors can be used to monitor bridges during operation. However, most research on distributed deformation monitoring has focused on solid rectangular beams rather than box girders—a kind of typical hollow beam widely employed in actual bridges. The deformation of a single-cell box girder contains bending deflection and also two additional deformations respectively caused by shear lag and shearing action. This paper revises the improved conjugated beam method (ICBM) based on the long-gage fiber Bragg grating (LFBG) sensors to satisfy the requirements for monitoring the two additional deformations in a single-cell box girder. This paper also proposes a suitable LFBG sensor placement in a box girder to overcome the influence of strain fluctuation on the flange caused by the shear lag effect. Results from numerical simulations show that the theoretical monitoring errors of the revised ICBM are typically 0.3–1.5%, and the maximum error is 2.4%. A loading experiment for a single-cell box gilder monitored by LFBG sensors shows that most of the practical monitoring errors are 6–8% and the maximum error is 11%.


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