Load Distribution Factors for Composite Multicell Box Girder Bridges

1999 ◽  
Vol 4 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Khaled M. Sennah ◽  
John B. Kennedy
2021 ◽  
Author(s):  
Siham Kadhim Jawad

Composite box-girder bridges are recently used in modern highway urban system because of their profitable and structural aptitude advantages. North Americans Codes of Practice specify empirical equations for girder moment and shear forces in such bridges in the form of live load distribution factors. These factors were proven to be conservative in some cases and underestimate the response in other cases. Therefore, an extensive parametric study, using the finite-element modeling, was conducted to examine the key parameters that influence the load distribution factors of such bridges. A total of 276 prototype bridges were analyzed to evaluate girder bending moment, shear force and deflection distribution factors for simply-supported composite multiple box-girder bridges when subjected to CHBDC truck loading. Design parameters considered in this study were bridges span length, numbers of design lanes, number of box girders and girder spacing. Based on the data generated from parametric study, sets of simple empirical expressions were developed for bending moment; shear force and deflection distribution factors for such bridges. A correlation between the finite-element results with CHBDC and AASHTO-LRFD empirical expressions showed the former are more reliable in structural design of composite box-girder bridges.


2021 ◽  
Author(s):  
Siham Kadhim Jawad

Composite box-girder bridges are recently used in modern highway urban system because of their profitable and structural aptitude advantages. North Americans Codes of Practice specify empirical equations for girder moment and shear forces in such bridges in the form of live load distribution factors. These factors were proven to be conservative in some cases and underestimate the response in other cases. Therefore, an extensive parametric study, using the finite-element modeling, was conducted to examine the key parameters that influence the load distribution factors of such bridges. A total of 276 prototype bridges were analyzed to evaluate girder bending moment, shear force and deflection distribution factors for simply-supported composite multiple box-girder bridges when subjected to CHBDC truck loading. Design parameters considered in this study were bridges span length, numbers of design lanes, number of box girders and girder spacing. Based on the data generated from parametric study, sets of simple empirical expressions were developed for bending moment; shear force and deflection distribution factors for such bridges. A correlation between the finite-element results with CHBDC and AASHTO-LRFD empirical expressions showed the former are more reliable in structural design of composite box-girder bridges.


2021 ◽  
Author(s):  
Walid I.H. Hassan

Horizontally curved composite box girder bridges are used in interchanges of modern highway systems. This type of structure has created design problems in estimating its live load. North Americans Codes of Practice recommends some analytical methods for design of such curved bridges. However, practical requirements arising during the design process necessitate a simple design method. On the basis of the literature review, such load distribution factors due to CHBDC truck loading are as yet unavailable. An extensive parametric study, using the finite-element modelling, was conducted, in which 225 prototype bridges were analysed to evaluate their shear distribution factors when subjected to CHBDC truck loading conditions. The parameters considered were number of steel boxes, number of lanes, span length, and span-to-radius curvature ratio. Based on the data generated, empirical expressions for shear distribution factors were deduced. An alternative to the developed expressions were introduced using the Artificial Neural Network (ANN) application.


2021 ◽  
Author(s):  
Walid I.H. Hassan

Horizontally curved composite box girder bridges are used in interchanges of modern highway systems. This type of structure has created design problems in estimating its live load. North Americans Codes of Practice recommends some analytical methods for design of such curved bridges. However, practical requirements arising during the design process necessitate a simple design method. On the basis of the literature review, such load distribution factors due to CHBDC truck loading are as yet unavailable. An extensive parametric study, using the finite-element modelling, was conducted, in which 225 prototype bridges were analysed to evaluate their shear distribution factors when subjected to CHBDC truck loading conditions. The parameters considered were number of steel boxes, number of lanes, span length, and span-to-radius curvature ratio. Based on the data generated, empirical expressions for shear distribution factors were deduced. An alternative to the developed expressions were introduced using the Artificial Neural Network (ANN) application.


2021 ◽  
Author(s):  
Manal Ibrahim

Bridges formed of concrete deck slab over built-up steel-box girders are frequently used in bridge construction for their economic and structural advantages. Box girder bridges impose structural challenges to get the straining actions for the design of girders. The objective of this study is to determine the load distribution characteristics for continuous composite multiple–box girder bridges under CHBDC truck loading. An extensive parametric study was conducted using the three-dimensional finite element to evaluate the moment and shear distribution factors when bridges subjected to CHBDC truck loading. The parameters considered in this study are the span length, number of lanes and number of boxes. Then, simple empirical formula for the bending moment and shear force were developed for the structural design. Correlation of the developed expressions based on FEA results with available CHBDC and AASHTO-LRFD formula showed that the former allow engineers to design such bridges more economically and reliably.


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