Extreme Vehicles and Bridge Safety

Author(s):  
Colin Caprani ◽  
Mayer Melhem
Keyword(s):  
2014 ◽  
Vol 102 (41) ◽  
pp. 301-308
Author(s):  
Jiri Drozda ◽  
Jan Marek ◽  
Tomas Rotter

Materials ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 981
Author(s):  
Barbara Słomka-Słupik ◽  
Jacek Podwórny ◽  
Beata Grynkiewicz-Bylina ◽  
Marek Salamak ◽  
Bibianna Bartoszek ◽  
...  

The article analyzes the composition of concrete taken from various elements from a 100-year-old bridge in South Poland, so as to analyze its technical condition. The main methods applied during experimental work were: Designation of pH, free chloride content, salinity, XRD and SEM examinations, as well as metals determination using inductively coupled plasma mass spectrometry (ICP­MS), high-performance liquid chromatography (HPLC)-ICP-MS, and cold-vapor atomic absorption spectroscopy (CV-AAS). The concrete of the bridge was strongly carbonated and decalcified with an extremely high content of chlorides. The pH of the concrete was in a range from 10.5 to 12.0. Acid soluble components were between 9.9% and 17.6%. Typical sulfate corrosion phases of concrete were not detected. Friedels’ salt was found only at the extremity of an arch. The crown block was corroded to the greatest extent. Various heavy metals were absorbed into the concrete, likely from previous centuries, when environmental protection policy was poor. The applied research methodology can be used on bridges exposed to specific external influences. The acquired knowledge can be useful in the management processes of the bridge infrastructure. It can help in making decisions about decommissioning or extending the life cycle of the bridge. This work should also sensitize researchers and decision-makers to the context of “bridge safety”.


2014 ◽  
Vol 889-890 ◽  
pp. 1410-1413
Author(s):  
Dong Liang ◽  
Zi Shuo Li ◽  
Hui Cai Shen

Accurate calculation of the vehicle load is the foundation for the middle and small bridge safety. Longitudinal influence line and transverse distribution coefficient are used in traditional calculation method of vehicle load. This method brings a little big error because of the simplification. A new method based on influence surface is offered in this paper. The analysis results show that the new method can meet more accurate demand.


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