Browse > Article
http://dx.doi.org/10.7315/CADCAM.2014.001

Simplified Model for the Weight Estimation of Floating Offshore Structure Using the Genetic Programming Method  

Um, Tae-Sub (Department of Naval Architecture and Ocean Engineering, University of Ulsan)
Roh, Myung-Il (Department of Naval Architecture and Ocean Engineering, and Research Institute of Marine Systems Engineering, Seoul National University)
Shin, Hyun-Kyung (School of Naval Architecture and Ocean Engineering, University of Ulsan)
Ha, Sol (Engineering Research Institute, Seoul National University)
Abstract
In the initial design stage, the technology for estimating and managing the weight of a floating offshore structure, such as a FPSO (Floating, Production, Storage, and Off-loading unit) and an offshore wind turbine, has a close relationship with the basic performance and the price of the structure. In this study, using the genetic programming (GP), being used a lot in the approximate estimating model and etc., the weight estimation model of the floating offshore structure was studied. For this purpose, various data for estimating the weight of the floating offshore structure were collected through the literature survey, and then the genetic programming method for developing the weight estimation model was studied and implemented. Finally, to examine the applicability of the developed model, it was applied to examples of the weight estimation of a FPSO topsides and an offshore wind turbine. As a result, it was shown that the developed model can be applied the weight estimation process of the floating offshore structure at the early design stage.
Keywords
Genetic programming; Offshore structure; Symbolic regression; Weight estimation model;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 WWEA (World Wind Energy Association), 2010. World Wind Energy Report.
2 Cho, Y.J., 2011, A Development of the Ship Weight Estimating Method by a Statistical Approach, Journal of the Society of Naval Architects of Korea, 48(5), pp.426-434.   과학기술학회마을   DOI   ScienceOn
3 Kim, K.C., 1966, Estimation of Machinery Weights of the Medium and Small-sized Ships, Journal of the Society of Naval Architects of Korea, 3(1), pp.28-32.   과학기술학회마을
4 Bolding, A., 2001, Bulk Factor Method Estimates FPSO: Topsides Weight, The Oil and Gas Journal.
5 Nils, A.B., 1954, Esempi Numerici Di Processi Di Evoluzione, Giangiacomo Feltrinelli Editore, pp.45-68.
6 Koza, J.R., 1990, Genetic Programming: A Paradigm for Genetically Breeding Populations of Computer Programs to Solve Problems, Technical Report STAN-CS-90-1314, Stanford University.
7 Yeon, Y.S., 1998, Genetic Programming with Weighted Linear Associative Memories and Its Application to Engineering Problems, Transactions of the Society of CAD/CAM Engineers, 3(1), pp.57-67.   과학기술학회마을
8 Yeon, Y.S. and Lee, W., 2001, Response Surface Modeling by Genetic Programming I: A Directional Derivative-Based Smoothening Method. Journal of the Korea Society of Information Technology Applications, 3(3), pp.1-24.
9 Lee, K.H. and Yeon, Y.S., 2004, Genetic Programming Approach to Curve Fitting of Noisy Data and Its Application in Ship Design, Transactions of the Society of CAD/CAM Engineers, 9(3), pp.183-191.   과학기술학회마을
10 Lee, K.H., Oh, J., Park, J.H. and Kim, D.G., 2009, Development of Data Mining System using combined Genetic Programming with Self Organizing Map, Transactions of the Society of CAD/ CAM Engineers, 14(6), pp.382-389.   과학기술학회마을
11 Koza, J.R., 1992, Genetic Programming: On the Programming of Computers by Means of Natural Selection, Cambridge, Mass: MIT Press.
12 Seo, S.H, Shin, H.K., Ku, N.K. and Roh, M.I., 2013, Simplified Model for the Weight Estimation of Floating Offshore Structure Using the Statistical Method, Proceedings of the Annual Spring Meeting, The Society of Naval Architects of Korea, 2013, pp.1070-1078, Jeju, 2013.5.23-24.
13 Jonkman, J., Butterfield, S., Musial, W. and Scott, G., 2009, Definition of a 5-MW Reference Wind Turbine for Offshore System Development, Technical Report, NREL/TP-500-38060.