TY - JOUR
T1 - An advanced technique to predict time-dependent corrosion damage of onshore, offshore, nearshore and ship structures
T2 - Part I = generalisation
AU - Kim, Do Kyun
AU - Wong, Eileen Wee Chin
AU - Cho, Nak Kyun
N1 - Publisher Copyright:
© 2020 Society of Naval Architects of Korea
PY - 2020
Y1 - 2020
N2 - A reliable and cost-effective technique for the development of corrosion damage model is introduced to predict nonlinear time-dependent corrosion wastage of steel structures. A detailed explanation on how to propose a generalised mathematical formulation of the corrosion model is investigated in this paper (Part I), and verification and application of the developed method are covered in the following paper (Part II) by adopting corrosion data of a ship's ballast tank structure. In this study, probabilistic approaches including statistical analysis were applied to select the best fit probability density function (PDF) for the measured corrosion data. The sub-parameters of selected PDF, e.g., the largest extreme value distribution consisting of scale, and shape parameters, can be formulated as a function of time using curve fitting method. The proposed technique to formulate the refined time-dependent corrosion wastage model (TDCWM) will be useful for engineers as it provides an easy and accurate prediction of the 1) starting time of corrosion, 2) remaining life of the structure, and 3) nonlinear corrosion damage amount over time. In addition, the obtained outcome can be utilised for the development of simplified engineering software shown in Appendix B.
AB - A reliable and cost-effective technique for the development of corrosion damage model is introduced to predict nonlinear time-dependent corrosion wastage of steel structures. A detailed explanation on how to propose a generalised mathematical formulation of the corrosion model is investigated in this paper (Part I), and verification and application of the developed method are covered in the following paper (Part II) by adopting corrosion data of a ship's ballast tank structure. In this study, probabilistic approaches including statistical analysis were applied to select the best fit probability density function (PDF) for the measured corrosion data. The sub-parameters of selected PDF, e.g., the largest extreme value distribution consisting of scale, and shape parameters, can be formulated as a function of time using curve fitting method. The proposed technique to formulate the refined time-dependent corrosion wastage model (TDCWM) will be useful for engineers as it provides an easy and accurate prediction of the 1) starting time of corrosion, 2) remaining life of the structure, and 3) nonlinear corrosion damage amount over time. In addition, the obtained outcome can be utilised for the development of simplified engineering software shown in Appendix B.
KW - Aging
KW - Corrosion modelling
KW - Engineering
KW - Non-linear corrosion
KW - Time-dependent
UR - https://www.scopus.com/pages/publications/85089814147
U2 - 10.1016/j.ijnaoe.2020.06.007
DO - 10.1016/j.ijnaoe.2020.06.007
M3 - Article
AN - SCOPUS:85089814147
SN - 2092-6782
VL - 12
SP - 657
EP - 666
JO - International Journal of Naval Architecture and Ocean Engineering
JF - International Journal of Naval Architecture and Ocean Engineering
ER -