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
Keyword(s):  
Climate Change ◽  
Reliability Analysis ◽  
Corrosion Damage ◽  
Time Dependent ◽  
Rc Structures

Uncertain time-dependent reliability analysis of corroded RC structures applying three-term conjugate method

2020 ◽  
Vol 115 ◽  
pp. 104599 ◽  
Author(s):  
Mansour Bagheri ◽  
Seyed Abbas Hosseini ◽  
Behrooz Keshtegar ◽  
José A.F.O. Correia ◽  
Nguyen-Thoi Trung
Keyword(s):  
Reliability Analysis ◽  
Time Dependent ◽  
Rc Structures ◽  
Uncertain Time

The Research on Time-Dependent Reliability Analysis for RC Structures Based on the Theory of Stochastic Processes

2011 ◽  
Vol 243-249 ◽  
pp. 5650-5655
Author(s):  
Cheng Yu Xia ◽  
Qing You Liu ◽  
Li Qin Qian
Keyword(s):  
Reliability Analysis ◽  
Structural Reliability ◽  
Time Dependent ◽  
Time Varying ◽  
Rc Structures ◽  
Calculating Method ◽  
Specific Analysis ◽  
The Mean ◽  
Compression Member ◽  
Strong Ability

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.

Fuzzy reliability analysis of RC structures by using an improved time-dependent model of chloride ingress

2010 ◽  
Vol 6 (1-2) ◽  
pp. 205-223 ◽  
Author(s):  
Giuseppe Carlo Marano ◽  
Giuseppe Quaranta ◽  
Sara Sgobba ◽  
Rita Greco ◽  
Mauro Mezzina
Keyword(s):  
Reliability Analysis ◽  
Time Dependent ◽  
Chloride Ingress ◽  
Fuzzy Reliability ◽  
Rc Structures ◽  
Dependent Model ◽  
Time Dependent Model

Corrosion Reliability Analysis Considering the Coupled Effect of Mechanical Stresses

2016 ◽  
Vol 2 (3) ◽  
Author(s):  
Chaoyang Xie ◽  
Pingfeng Wang ◽  
Zequn Wang ◽  
Hongzhong Huang
Keyword(s):  
Reliability Analysis ◽  
Pitting Corrosion ◽  
Limit State ◽  
Corrosion Damage ◽  
Mechanical Stresses ◽  
Time Dependent ◽  
Failure Model ◽  
Damage Growth ◽  
Physics Of Failure ◽  
State Functions

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.

Probabilistic and Deterministic Approach to the Setting of In-Line Inspection Intervals

2011 ◽  
Author(s):  
Marcus McCallum ◽  
Chas Jandu ◽  
Andrew Francis
Keyword(s):  
Reliability Analysis ◽  
Structural Reliability ◽  
Corrosion Damage ◽  
Time Dependent ◽  
Metal Loss ◽  
Deterministic Approach ◽  
Robust Method ◽  
Optimum Frequency ◽  
Detection Tool ◽  
Pipeline Wall

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.

scholarly journals Degradation Monitoring in Reinforced Concrete with 3D Localization of Rebar Corrosion and Related Concrete Cracking

2021 ◽  
Vol 11 (15) ◽  
pp. 6772
Author(s):  
Charlotte Van Steen ◽  
Els Verstrynge
Keyword(s):  
Reinforced Concrete ◽  
Degradation Mechanism ◽  
Heterogeneous Material ◽  
Corrosion Damage ◽  
Corrosion Process ◽  
Internal Damage ◽  
Rc Structures ◽  
Degradation Monitoring ◽  
Rebar Corrosion ◽  
Width Measurements

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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