An Innovative Prediction Model for Corrosion Processes on Weathering Steel Structures

Author(s):  
V. Krivý ◽  
V. Urban ◽  
K. Vavrušová
2013 ◽  
Vol 577-578 ◽  
pp. 397-400 ◽  
Author(s):  
Vit Křivý ◽  
Viktor Urban ◽  
Lukáš Fabián

This paper introduces the experimental corrosion tests that are carried on the existing weathering steel structures in the Czech Republic. The influence of the position and location of the surface in the structure on the resulting corrosion rates can be evaluated using this experimental testing. Typical surfaces of steel bridges are tested, e.g. webs of main girders, upper and lower surfaces of flanges, surfaces affected by leaking salt solutions. Results of the corrosions tests are used for the specification of corrosion prediction model.


2020 ◽  
Vol 832 ◽  
pp. 137-146
Author(s):  
Monika Kubzová ◽  
Vit Křivý ◽  
Viktor Urban ◽  
Katerina Kreislova

This article deals with the topic of atmospheric corrosion. Atmospheric corrosion causes damage to nearly 80% of all existing steel structures. The main parameters of atmospheric corrosion are the time of wetness (TOW), air temperature and aggressive corrosive agents such as chlorides, sulfur dioxide and others. Currently, low alloy steels with improved atmospheric corrosion resistance called weathering steels are used for the steel structures located in outdoor environment. A protective layer of corrosion products is created on the steel surface and this layer can reduce continuation of corrosion of steel. The time of wetness together with the effect of aggressive corrosive agents are various for surfaces oriented vertically or horizontally. Experimental tests of atmospheric weathering steel were carried out to monitor the impact of location and position of surface on the different constructions. These tests allow monitoring the development of corrosion products in real exposures. The article presents a part of the research, which includes monitoring the development of the thickness of corrosion products with regard to the position on the structure. Research is developed to refine of prediction models with the aim of improving determination of corrosion losses during the service life of the structure. Second part of these experiments is dedicated to measuring the deposition rate of chlorides. Chlorides have a corrosive impact on the steel surface. Under normal conditions the chlorides does not create suitable environment for the development of a protective layer of corrosion products.


Materials ◽  
2020 ◽  
Vol 13 (15) ◽  
pp. 3263 ◽  
Author(s):  
Jianjun Shi ◽  
Bin Jia ◽  
Yinyin Ren ◽  
Xiaomei Zhang ◽  
Jian Luo

Peeling failure at the interface is one of the main failure modes for CFRP (Carbon Fiber-Reinforced Polymer)-reinforced steel structures. However, there are very few reported studies on the bond-slip relationship at the CFRP-steel interface. A series of simple shear tests were carried out in the present paper. The influence of the fiber fabric’s width and thickness, the surface roughness of the steel sheet, and the thickness of the adhesive layer on the bonding performance of the CFRP fabric to steel interface was considered. The interface constitutive model and bonding strength model were further established under multiple factors. The results show that with the decrease of the surface roughness, the interface’ ultimate peeling load increases gradually, and the failure has a tendency to develop from a glue-steel interface to a glue-CFRP interface. The test pieces that were subjected to sand blasting obtained the peak value of the ultimate peeling load. This indicates that sand blasting can effectively enhance the interface bonding strength. The theoretical values obtained via the interface prediction model are consistent with the experimental values. This proves that the newly developed interface prediction model can effectively predict the local bonding slip and bonding strength of the interface.


2014 ◽  
Vol 45 (11-12) ◽  
pp. 1076-1084 ◽  
Author(s):  
Julene Aramendia ◽  
Leticia Gomez-Nubla ◽  
Ludovic Bellot-Gurlet ◽  
Kepa Castro ◽  
Céline Paris ◽  
...  

2020 ◽  
Vol MA2020-02 (13) ◽  
pp. 1301-1301
Author(s):  
Masamichi Takebe ◽  
Makoto Ohya ◽  
Ayaka Matsumoto

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