scholarly journals Spatial time-dependent reliability analysis of corrosion damage to RC structures with climate change

2014 ◽  
Vol 66 (22) ◽  
pp. 1154-1169 ◽  
Author(s):  
Lizhengli Peng ◽  
Mark G. Stewart
2020 ◽  
Vol 115 ◽  
pp. 104599 ◽  
Author(s):  
Mansour Bagheri ◽  
Seyed Abbas Hosseini ◽  
Behrooz Keshtegar ◽  
José A.F.O. Correia ◽  
Nguyen-Thoi Trung

2011 ◽  
Vol 243-249 ◽  
pp. 5650-5655
Author(s):  
Cheng Yu Xia ◽  
Qing You Liu ◽  
Li Qin Qian

This paper proposes a new calculating method for the reliability analysis of the time-varying structure,and applies the calculating method to optimize the design for the concrete structure . The RC compression member was taken as an example in the specific analysis in by the mean of resistance and structural reliability with time t. The results show that, this mode has a strong ability of analyzing adequately all kinds of random variant in procedure of structure failures.


2010 ◽  
Vol 6 (1-2) ◽  
pp. 205-223 ◽  
Author(s):  
Giuseppe Carlo Marano ◽  
Giuseppe Quaranta ◽  
Sara Sgobba ◽  
Rita Greco ◽  
Mauro Mezzina

Author(s):  
Chaoyang Xie ◽  
Pingfeng Wang ◽  
Zequn Wang ◽  
Hongzhong Huang

Corrosion is one of the most critical failure mechanisms for engineering structures and systems, as corrosion damages grow with the increase of service time, thus diminish system reliability gradually. Despite tremendous efforts, effectively carrying out reliability analysis considering the complicated coupling effects for corrosion remains to be a grand challenge. There is a substantial need to develop sophisticated corrosion reliability models and effective reliability analysis approaches considering corrosion damage growth under coupled effects such as mechanical stresses. This paper presents a physics-of-failure model for pitting corrosion with the coupled effect of corrosion environment and mechanical stresses. With the developed model, corrosion damage growth can be projected and corrosion reliability can be analyzed. To carry out corrosion reliability analysis, the developed pitting corrosion model can be formulated as time-dependent limit state functions considering pit to crack transition, crack growth, and fracture failure mechanics. A newly developed maximum confidence enhancement (MCE)-based sequential sampling approach is then employed to improve the efficiency of corrosion reliability analysis with the time-dependent limit state functions. A case study is presented to illustrate the efficacy of the developed physics-of-failure model for corrosion considering the coupled mechanical stress effects, and the new corrosion reliability analysis methodology.


Author(s):  
Marcus McCallum ◽  
Chas Jandu ◽  
Andrew Francis

All pipelines are susceptible to the possibility of corrosion damage. Corrosion is a time dependent process that leads to localised gradual thinning of the pipeline wall and if allowed to continue will eventually cause failure of the pipewall. Due to the progressive nature of corrosion the likelihood of failure increases with time. One means of mitigating the likelihood of such failures is to perform an in-line inspection using a metal loss detection tool. The frequency of inspection is an important parameter to operators since if it is too high, excessive costs will be incurred and if it is too low, failure involving loss of supply, threats to safety and the environment may follow. Operators therefore seek the optimum frequency. This paper describes a robust method for optimizing inspection intervals based on the use of structural reliability analysis.


2021 ◽  
Vol 11 (15) ◽  
pp. 6772
Author(s):  
Charlotte Van Steen ◽  
Els Verstrynge

Corrosion of the reinforcement is a major degradation mechanism affecting durability and safety of reinforced concrete (RC) structures. As the corrosion process starts internally, it can take years before visual damage can be noticed on the surface, resulting in an overall degraded condition and leading to large financial costs for maintenance and repair. The acoustic emission (AE) technique enables the continuous monitoring of the progress of internal cracking in a non-invasive way. However, as RC is a heterogeneous material, reliable damage detection and localization remains challenging. This paper presents extensive experimental research aiming at localizing internal damage in RC during the corrosion process. Results of corrosion damage monitoring with AE are presented and validated on three sample scales: small mortar samples (scale 1), RC prisms (scale 2), and RC beams (scale 3). For each scale, the corrosion process was accelerated by imposing a direct current. It is found that the AE technique can detect damage earlier than visual inspection. However, dedicated filtering is necessary to reliably localize AE events. Therefore, AE signals were filtered by a newly developed post-processing protocol which significantly improves the localization results. On the smallest scale, results were confirmed with 3D micro-CT imaging, whereas on scales 2 and 3, results were compared with surface crack width measurements and resulting rebar corrosion levels.


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