Table 2 Summary of data parameters
From: Machine learning methods for predicting residual strength in corroded oil and gas steel pipes
Source | Pipe size parameters | Material parameters | Defect parameters | External conditions | Pf |
|---|---|---|---|---|---|
D; t | UTS; YS | DL; DD; DW | - | √ | |
D; t; specimen length | UTS; YS | DL; DD; DW | - | √ | |
D | Material categories | DL; DD; DW | - | √ | |
D; t | UTS; YS | DL; DD; defect spacing | - | √ | |
D; t | Material categories | DL; DD | - | √ | |
D; t | UTS; YS | DL; DD; DW; axial defect spacing; circumferential defect spacing | - | √ | |
t | - | DL; DD | Water depth | √ | |
D; t | UTS | DL; defect spacing | - | √ | |
D; t | UTS; YS; E | DL; DD; DW | - | √ | |
D; t | UTS | DL; DD | - | √ | |
D; t | UTS | DL; DD; DW | - | √ | |
D; t | YS | DL; DD; DW | Axial force; bending moment | √ | |
D; t | UTS; YS; material categories | DL; DD; defect shape | - | √ | |
D; t | - | DL; DD | - | √ | |
D; t | UTS; YS | DL; DD | - | √ | |
D; t | UTS; YS | DL; DD | - | √ | |
D; t | UTS; YS | DL; DD; DW; | - | √ | |
D; t | UTS; YS; E | DL; DD; DW | - | √ | |
D; t | UTS; YS; material categories | DL; DD; DW | - | √ | |
D; t | UTS; YS; E | DL; DD; DW | - | √ | |
D; t | UTS | DL; DD | - | √ | |
D; t | UTS | DL; DD | - | √ | |
t | - | DL; longitudinal defect spacing | - | √ | |
D; t | UTS; YS | DL; DD | - | √ | |
D; t | UTS; YS | DL; DD; DW | - | √ | |
D; t | Material categories | DL; DD | - | √ | |
D; t | UTS; YS | DL; DD | - | √ | |
D; t | UTS; YS | DL; DD; circumferential defect spacing | - | √ | |
D; t | UTS; YS | DL; DD; longitudinal defect spacing | - | √ | |
D; t | - | DL; DD; longitudinal defect spacing | - | √ | |
t | - | DL; DD | Hydrogen charging time | √ | |
D; t | UTS; YS | DL; DD; DW | - | √ | |
D; t | UTS; YS; E | DL; DD; DW | - | √ | |
D; t | UTS | DL; DD |  | √ |