@inproceedings{scholars5033, year = {2014}, publisher = {EDP Sciences}, journal = {MATEC Web of Conferences}, note = {cited By 3; Conference of 4th International Conference on Production, Energy and Reliability, ICPER 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:106620}, volume = {13}, doi = {10.1051/matecconf/20141303001}, address = {Kuala Lumpur}, title = {A Framework for estimating piping reliability subject to corrosion under insulation}, keywords = {Corrosion; Failure (mechanical); Insulation; Petrochemical plants; Risk assessment, Corrosion engineers; Corrosion under insulations; Inspection plans; Inspection schedule; Likelihood analysis; Likelihood of failures; Quantitative risk assessment; Risk based inspection, Piping systems}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84905029222&doi=10.1051\%2fmatecconf\%2f20141303001&partnerID=40&md5=68b1f20c9e41a008525fc386f7811ea9}, abstract = {Corrosion under insulation (CUI) is one of the serious damage mechanisms experienced by insulated piping systems. Optimizing the inspection schedule for insulated piping systems is a major challenge faced by inspection and corrosion engineers since CUI takes place beneath the insulation which makes the detection and prediction of the damage mechanism harder. In recent years, risk-based inspection (RBI) approach has been adopted to optimize CUI inspection plan. RBI approach is based on risk, a product of the likelihood of a failure and the consequence of such failure. The likelihood analysis usually follows either the qualitative or the semi-qualitative methods, thus precluding it to be used for quantitative risk assessment. This paper presents a framework for estimating quantitatively the likelihood of failure due to CUI based on the type of data available. {\^A}{\copyright} 2014 Owned by the authors, published by EDP Sciences.}, issn = {2261236X}, author = {Mokhtar, A. A. and Ismail, M. C. and Zainordin, A. B. and Shahid, S.} }