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http://dx.doi.org/10.7837/kosomes.2021.27.1.161

Application of Experimental Design Methods for Minimum Weight Design and Sensitivity Evaluation of Passive-Type Deck Support Frame for Offshore Plant Float-Over Installation  

Kim, Hun Gwan (Department of Naval Architecture and Ocean Engineering, Mokpo National University)
Lee, Kangsu (Korea Research Institute of Ships & Ocean Engineering)
Song, Chang Yong (Department of Naval Architecture and Ocean Engineering, Mokpo National University)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.27, no.1, 2021 , pp. 161-171 More about this Journal
Abstract
This paper presents the findings of a comparative study on minimum weight design and sensitivity evaluation using different experimental design methods for the structural design of an active-type deck support frame (DSF) developed for the float-over installation of an of shore plant topside. The thickness sizing variables of the structural members of a passive-type DSF were considered the design factors, and the output responses were defined using the weight and strength performances. The design of the experimental methods applied in the comparative study of the minimum weight design and the sensitivity evaluation were the orthogonal array design, Box- Behnken design, and Latin hypercube design. A response surface method was generated for each design of the experiment to evaluate the approximation performance of the design space exploration according to the experimental design, and the accuracy characteristics of the approximation were reviewed. Regarding the minimum weight design, the design results, such as numerical costs and weight minimization, of the experimental design for the best design case, were evaluated. The Box- Behnken design method showed the optimum design results for the structural design of the passive-type DSF.
Keywords
Passive-type deck support frame; Experimental design; Sensitivity evaluation; Float-over installation; Box-Behnken design method;
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Times Cited By KSCI : 2  (Citation Analysis)
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