Sol Ha, Tae-Sub Um, Myung-Il Roh, Hyun-Kyoung Shin, “A Structural Weight Estimation Model of FPSO Topsides Using an Improved Genetic Programming Method”, Ships and Offshore Structures, Vol. 12, No. 1, pp. 43-55, 2017.01.01
Sol Ha, Tae-Sub Um, Myung-Il Roh, Hyun-Kyoung Shin, “A Structural Weight Estimation Model of FPSO Topsides Using an Improved Genetic Programming Method”, Ships and Offshore Structures, Vol. 12, No. 1, pp. 43-55, 2017.01.01
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Abstract | The weight information of an FPSO (floating production, storage, and offloading) plant is one of the important data needed to estimate the amount of production material (e.g., plates) needed and to determine the suitable production method for its construction. In addition, the weight information is a key factor that affects the building cost and the production period of the FPSO plant. Although the importance of the weight has long been recognised, the weight, especially of the topside, has been roughly estimated using the existing similar data as well as the designer’s experience. To improve this task, a weight estimation model for FPSO plant topsides was developed in this study using the improved genetic programming (GP) method. For this reason, various past records on the estimation of the weight of the FPSO plant were collected through a literature survey, and then the weight estimation model using GP was established by fixing the independent variables based on these data. In addition, correlation analysis was performed to make up for the weak points of genetic programing, which is apt for inducing overfitting when the number of data is relatively smaller than that of the independent variables. That is, by reducing the number of variables through the analysis of the correlation between the independent variables, an increase in the number of weight data can be expected. Finally, to evaluate the applicability of the suggested model, it was applied to an example of the weight estimation of the FPSO plant topside. Compared with the results of the multiple nonlinear regression analysis that was conducted in the previous study, the results showed that the suggested model can be applied to the weight estimation process of the FPSO plant at the early design stage. |
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Publication Date | 2017-01-01 |
Role | Corresponding Author |
Category | SCIE |
Impact Factor | 0.790 |
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Sung-Min Lee, Myung-Il Roh, Ki-Su Kim, Seung-Ho Ham, "Optimum Design of Lug Arrangement Based on Static and Dynamic Analyses for Block Lifting", Journal of Ship Production and Design, Vol. 34, No. 2, pp. 119-133, 2018.05.01
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Seung-Ho Ham, Myung-Il Roh, Jung-Woo Hong, “Dynamic Effect of a Flexible Riser in a Fully Connected Semisubmersible Drilling Rig Using the Absolute Nodal Coordinate Formulation”, Journal of Offshore Mechanics and Arctic Engineering, 2017.10.01
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Sung-Kyoon Kim, Myung-Il Roh, Ki-Su Kim, “Arrangement Method of Offshore Topside Based on an Expert System and Optimization Technique”, Journal of Offshore Mechanics and Arctic Engineering, Vol. 139, No. 2, pp. 1-19, 2017.04.01
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Seong-Hoon Kim, Myung-Il Roh, Ki-Su Kim, Min-Jae Oh, “Big Data Platform Based on Hadoop and Application to Weight Estimation of FPSO Topside”, Journal of Advanced Research in Ocean Engineering, Vol. 3, No. 1, pp. 32-40, 2017.03.01
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Sung-Kyoon Kim, Myung-Il Roh, Ki-Su Kim, “Evaluation of Feasibility Index in the Arrangement Design of an Offshore Topside based on the Automatic Transformation of Experts’ Knowledge and the Fuzzy Logic”, Ocean Engineering, Vol. 130, 2017.01.15