PSI - Issue 19

Aaron Stenta et al. / Procedia Structural Integrity 19 (2019) 27–40 Stenta and Panzarella / Structural Integrity Procedia 00 (2019) 000–000

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Optimal inspection strategies are also determined with this approach. The cost of inspections and repairs must always be balanced with the benefit they provide in terms of the reduction in risk gained by increased knowledge of the underlying damage state and damage rate as well as the application of any mitigation used to lessen either of these. It is demonstrated here that by constructing appropriate networks, the decision of whether or not to inspect can be made as well as the best time for that inspection in order to maximize the expected annual return. These networks are also able to recommend the preferred method of inspection and whether or not to repair based upon the results of the inspection. Again, all of these optimal decisions are made with every cost and benefit taken into consideration. Examples were given for both low-cycle and high-cycle fatigue, and there is no restriction to applying these methods to any problem. References Api, R.P., 2007. 579-1/ASME FFS-1. Houston, TX:, American Petroleum Institute . Ayello, F., Jain, S., Sridhar, N. and Koch, G.H., 2014. Quantitive Assessment of Corrosion Probability—A Bayesian Network Approach. Corrosion , 70 (11), pp.1128-1147.Koch G., Ayello F., Khare V., Sridhar N. and Moosavi A., Corrosion Engineering Science & Technology, 50(3), pp.236-247, 2015. Bifano, M.F., Breaux, L., Feller, A.J. and Brodzinski, R., 2018, July. New Fatigue Screening Criteria for the Fitness-for-Service Assessment of In Service Process Piping Vibrations. In ASME 2018 Pressure Vessels and Piping Conference (pp. V01AT01A002-V01AT01A002). American Society of Mechanical Engineers. Cannavò, F., Cannata, A., Cassisi, C., Di Grazia, G., Montalto, P., Prestifilippo, M., Privitera, E., Coltelli, M. and Gambino, S., 2017. A multivariate probabilistic graphical model for real‐time volcano monitoring on Mount Etna. Journal of Geophysical Research: Solid Earth , 122 (5), pp.3480-3496. Gassama, E., Spring, D.W., Stenta, A., Cochran, J. and Panzarella, C., 2016, July. A Probabilistic Approach to the Thermo-Mechanical Analysis of Coke Drums. In ASME 2016 Pressure Vessels and Piping Conference (pp. V01AT01A038-V01AT01A038). American Society of Mechanical Engineers. Hackl, J., 2013. Generic framework for stochastic modeling of reinforced concrete deterioration caused by corrosion (Master's thesis, Institutt for konstruksjonsteknikk). Heckerman, D., 1997. Bayesian networks for data mining. Data mining and knowledge discovery , 1 (1), pp.79-119. Jain, S., Ayello, F., Beavers, J.A. and Sridhar, N., 2012, September. Development of a probabilistic model for stress corrosion cracking of underground pipelines using bayesian networks: a concept. In 2012 9th International Pipeline Conference (pp. 615-625). American Society of Mechanical Engineers. McAllister, R., Gal, Y., Kendall, A., Van Der Wilk, M., Shah, A., Cipolla, R. and Weller, A.V., 2017, August. Concrete problems for autonomous vehicle safety: advantages of Bayesian deep learning. International Joint Conferences on Artificial Intelligence, Inc. Osage, D.A., Dong, P. and Spring, D., 2018. Fatigue assessment of welded joints in API 579-1/ASME FFS-1 2016-existing methods and new developments. Procedia engineering , 213 , pp.497-538. Panzarella, C.H., Gassama, E. and Spring, D., 2016, July. Probabilistic Financial Analysis of Coke Drum Life Cycle Management. In ASME 2016 Pressure Vessels and Piping Conference (pp. V01AT01A037-V01AT01A037). American Society of Mechanical Engineers. Shabarchin, O. and Tesfamariam, S., 2016. Internal corrosion hazard assessment of oil & gas pipelines using Bayesian belief network model. Journal of loss prevention in the process industries , 40 , pp.479-495. Al-yami A.S. and Schubert J., SPE Int. Conference & Workshop on Oilfield Corrosion. SPE, 2012. Stenta, A., Gassama, E., Spring, D.W., Cochran, J., Panzarella, C. and Osage, D.A., 2016. Summary and applications of the new fatigue rules in Part 14 of API 579-1/ASME FFS-1 and WRC 550. ASME 2016 Pressure Vessels and Piping Conference . Stenta, A., Panzarella, C., Young, G., Clemons, C., Kreider, K., Mimoto, N., 2017. Academic/industrial partnership designing a multi-purpose corrosion software platform. Department of Defense – Allied Nations Technical Corrosion Conference. Tan, H.Y., 2017. Statistical methods for the analysis of corrosion data for integrity assessments (Doctoral dissertation, Brunel University London).