RESEARCH PAPER
A framework for corrosion assessment in metallic structures, from data analysis to risk based inspection
| 1 | TWI Ltd, Granta Park, Great Abington, Cambridge, CB21 6AL, United Kingdom |
Publication date: 2021-03-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(1):11–20
KEYWORDS
REFERENCES (33)
1.
American Petroleum Institute. A.P.I. 581, Risk-based Inspection Methodology. Third Edition.2016.
2.
Anes-Arteche F, Yu K, Bharadwaj U et al. Challenges in the application of DCVG-survey to predict coating defect size on pipelines. Materials and Corrosion-Werkstoffe und Korrosion 2017; 68(3): 329-337, https://doi.org/10.1002/maco.2....
3.
Anes-Arteche F, Bharadwaj U, Yu K, Lee C. Correlation of Pipeline Corrosion and Coating Condition with ECDA Survey Results. in EUROCORR, 2016.
4.
API. Fitness-For-Service (API 579 Second Edition), Part 5 Assessment of Local Metal Loss. 2007.
5.
Bharadwaj U R. Risk based life management of offshore structures and equipment. 2010.
6.
Bin Muhd Noor N N, Yu K, Bharadwaj U, Gan T-H. Making use of external corrosion defect assessment (ECDA) data to predict DCVG% IR drop and coating defect area. Materials and Corrosion-Werkstoffe und Korrosion 2018; 69(9): 1237-1256, https://doi.org/10.1002/maco.2....
7.
Chikobvu D, Chifurira R. Modelling of extreme minimum rainfall using generalised extreme value distribution for Zimbabwe. South African Journal of Science 2015; 111(9-10): 01-08, https://doi.org/10.17159/sajs.....
8.
Damodaran A. Strategic risk taking: a framework for risk management. Pearson Prentice Hall: 2007.
9.
Dorafshan S, Maguire M, Collins W. Infrared thermography for weld inspection: feasibility and application. Infrastructures 2018; 3(4): 45, https://doi.org/10.3390/infras....
10.
Ghanooni-Bagha M, Shayanfar M A, Reza-Zadeh O, Zabihi-Samani M. The effect of materials on the reliability of reinforced concrete beams in normal and intense corrosions. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2017; 19 (3): 393–402, http://dx.doi.org/10.17531/ein....
11.
Kalantarnia M, Khan F, Hawboldt K. Dynamic risk assessment using failure assessment and Bayesian theory. Journal of Loss Prevention in the Process Industries 2009; 22(5): 600-606, https://doi.org/10.1016/j.jlp.....
12.
Khalili H, Oterkus S, Barltrop N, Bharadwaj U. Different Bayesian methods for updating the fatigue crack size distribution in a tubular joint. Journal of Offshore Mechanics and Arctic Engineering 2020, https://doi.org/10.1115/1.4048....
14.
Kowaka M, Tsuge H. Introduction to life prediction of industrial plant materials: Application of the extreme value statistical method for corrosion analysis. Allerton Press 1994; 26(10): 559-559, https://doi.org/10.1002/mawe.1....
15.
Kulicki J M, Prucz Z, Sorgenfrei D F et al. Guidelines for evaluating corrosion effects in existing steel bridges. 1990.
16.
Lee J Y, Sim C, Detweiler C, Barnes B. Computer-Vision Based UAV Inspection for Steel Bridge Connections. Structural Health Monitoring 2019 2019, https://doi.org/10.12783/shm20....
17.
Mi J, Li Y-F, Beer M et al. Importance measure of probabilistic common cause failures under system hybrid uncertainty based on bayesian network. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22(1): 112, https://doi.org/10.17531/ein.2....
18.
National Association of Corrosion. Internal corrosion direct assessment methodology for liquid petroleum pipelines. NACE International: 2008.
19.
Nikhil V P, Wiston B R, Ashok M. Flaw detection and monitoring over corroded surface through ultrasonic C-scan imaging. Engineering Research Express 2020; 2(1): 015010, https://doi.org/10.1088/2631-8....
20.
Pham N H, La H M, Ha Q P et al. Visual and 3D mapping for steel bridge inspection using a climbing robot. ISARC 2016-33rd International Symposium on Automation and Robotics in Construction, 2016, https://doi.org/10.22260/ISARC....
21.
Reiss R-D, Thomas M. Statistical analysis of extreme values: from insurance, finance, hydrology and other fields. Springer: 1997, https://doi.org/10.1007/978-3-....
22.
Scarf P A, Laycock P J. Applications of extreme value theory in corrosion engineering. Journal of Research of the National Institute of Standards and Technology 1994; 99: 313-313, https://doi.org/10.6028/jres.0....
23.
Schneider C. Extreme Value Analysis and Corrosion Mapping Data. Paper presented at 4th European-American Workshop on Reliability of NDE, 2009; 24: 26.
24.
Selech J, Andrzejczak K. An aggregate criterion for selecting a distribution for times to failure of components of rail vehicles. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2020; 22 (1): 102–111, http://dx.doi.org/10.17531/ein....
25.
Shibata T. Corrosion probability and statistical evaluation of corrosion data. Uhlig's Corrosion Handbook, third Edition, 2011; 21: 367, https://doi.org/10.1002/978047....
26.
Si X-S, Wang W, Hu C-H, Zhou D-H. Remaining useful life estimation-a review on the statistical data driven approaches. European Journal of Operational Research 2011; 213(1): 1-14, https://doi.org/10.1016/j.ejor....
27.
Sobaszek Ł, Gola A, Świć A. Time-based machine failure prediction in multi-machine manufacturing systems. Eksploatacja i Niezawodnosc – Maintenance and Reliability 2020; 22 (1): 52–62 http://dx.doi.org/10.17531/ein....
28.
Stone M. Wall thickness distributions for steels in corrosive environments and determination of suitable statistical analysis methods. Proc. 4th Eur.-Amer. Workshop Rel. NDE, 2009: 1-23.
29.
TWI Limited. Guidelines for use of statistics for analysis of sample inspection of corrosion. 2002.
30.
Villa T F, Gonzalez F, Miljievic B et al. An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future prospectives. Sensors 2016; 16(7): 1072, https://doi.org/10.3390/s16071....
31.
Wang R, Kawamura Y. Development of climbing robot for steel bridge inspection. Industrial Robot: An International Journal 2016; 43(4): 429-447, https://doi.org/10.1108/IR-09-....
32.
Wang R, Kawamura Y. An automated sensing system for steel bridge inspection using GMR sensor array and magnetic wheels of climbing robot. Journal of Sensors 2016, https://doi.org/10.1155/2016/8....
33.
Washer G, Nasrollahi M, Applebury C et al. Proposed guideline for reliability-based bridge inspection practices. 2014, https://doi.org/10.17226/22277.
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