scholarly journals Fatigue life assessment of large scale T-jointed steel truss bridge components

2017 ◽  
Vol 133 ◽  
pp. 499-509 ◽  
Author(s):  
Shunyao Cai ◽  
Weizhen Chen ◽  
Mohammad M. Kashani ◽  
Paul J. Vardanega ◽  
Colin A. Taylor
2014 ◽  
Vol 501-504 ◽  
pp. 1408-1412
Author(s):  
Yi Fan Jia ◽  
Yun Dong Peng ◽  
Hua Jiang

The design and construction of the stiffening steel truss bridge is a complex and large-scale professional program. The abstract of the plans and the weaknesses of the view angles to the design sketch will also become limitations to the owners and the decision makers. Based on the project of Baling River Bridge of large stiffening steel truss girders, this study creates a three-dimensional fine model for it via CAD, pre-assembles each parts of the bridge, and checks sections and dockings one to one correspondingly. Data conversion of this model directly generates virtual visualized model. This visualized fine model of Baling River Bridge provides decision makers with a visual analysis platform, which also offers technical guarantee and support for sensible decision makings.


2011 ◽  
Vol 99-100 ◽  
pp. 383-387 ◽  
Author(s):  
Qun Wei ◽  
Hua Jiang ◽  
Sheng Ji Li

The design and construction of the stiffening steel truss bridges is a complex and large-scale professional program. The abstract of the plans and the weaknesses of the view angles to the design sketch will also become limitations to the owners and the decision makers. Based on the project of River Baling Bridge of large stiffening steel truss girders, this study creates a three-dimensional fine model for it via CAD, pre-assembles each parts of the bridge, and checks sections and dockings one to one correspondingly. Data conversion of this model directly generates virtual visualized model. This visualized fine model of River Baling Bridge provides decision makers with a visual analysis platform, which also offers technical guarantee and support for sensible decision makings.


Author(s):  
Inge Lotsberg ◽  
Knut O. Ronold

Qualification of new characteristic S-N curves for fatigue life assessment of structures is considered to be a significant engineering challenge. First, representative fatigue test data for the actual structural connections have to be derived. Then these test data have to be transferred into characteristic S-N curves that represent a predefined probability of survival. Characteristic S-N curves are also often denoted design S-N curves as these curves are often used directly for fatigue life assessment of structures without application of a material factor. A few large scale tests can add significant confidence to a design S-N curve dependent on the type of structural detail to be designed. The reason for this is that a prototype test specimen can be fabricated in a similar way as the actual connection and it is similar in geometry, material characteristics, residual stress, and fabrication tolerances. In addition it can likely be subjected to a more relevant loading and boundary conditions as compared with that of small scale test specimens. When a limited number of test data are available, it is questioned how a characteristic S-N curve can be derived with a well defined probability of survival. The mentioned issues are further considered in this paper together with some recommendations on how to derive design S-N curves based on limited data.


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