Determining basic characteristics of bulk carriers at the early stages of design
DOI:
https://doi.org/10.15587/1729-4061.2023.292690Keywords:
initial design stage, basic characteristics of bulk carriers, factor analysis, method of main componentsAbstract
This paper considers the task to determine the basic characteristics of bulker vessels.
Available studies that define the main characteristics of ships were analyzed. The complexity of the task to choose a prototype in the process of determining the basic characteristics of bulk carriers at the initial stages of design has been shown.
The accepted assumption implied that each ship in the sample (a ship database) was designed in such a way that some operational qualities and/or economic characteristics of a vessel are optimal in a certain sense.
To solve the task, stochastic factor analysis was used, and the method of principal components was applied, which makes it possible to identify numerical characteristics that affect the parameters of the entire system but are not clearly observed. The factors were compiled that are dimensionless sets of characteristics of sample vessels, which are, in fact, new phase orthogonal coordinates of the problem with unequal variances of the sample along the coordinate directions. Evaluating the significance of correlations of factors and vectors of the sample data makes it possible to discard factors that have a weak influence on the values of the parameters of the sample vessels. Thus, the model of the problem is simplified while preserving essential connections. The analysis of the calculation data revealed that the number of significant factors due to the use of the principal component method decreased from 7 to 3. It was determined that the ships of the same designers are indeed grouped by the value of the factor sets. In the absence of an original algorithm for determining the main characteristics of the vessel at the initial stage of design, the application of the described factor analysis procedure should help with the definition of the main factors that affect the quality of the design. Further, it is possible to apply more subtle mechanisms for project optimization according to selected economic and technical parameters. The data of the numerical calculation of integrated characteristics of the ship are given
References
- Nekrasov, V. A., Kabanova, N. N. (2008). Zadacha funktsionirovaniya sudna, ekspluatiruyushchegosya na nezakreplennyh liniyah perevozok, v probleme ego proektirovaniya. NUK, Sbornik nauchnyh trudov NUK, 6 (423), 35–40.
- Kabanova, N. N. (2012). Reshenie stohasticheskoy zadachi optimizatsii harakteristik trampovogo sudna. Herald of the Odessa National Maritime University, 34, 172–183. Available at: http://visnyk.onmu.odessa.ua/index.php/1/issue/view/36/29
- Trincas, G., Mauro, F., Braidotti, L., Bucci, V. (2018). Handling the path from concept to preliminary ship design. CRC Press. Available at: https://www.taylorfrancis.com/chapters/edit/10.1201/9780429440533-15/handling-path-concept-preliminary-ship-design-trincas-mauro-braidotti-bucci
- la Monaca, U., Bertagna, S., Marinò, A., Bucci, V. (2019). Integrated ship design: an innovative methodological approach enabled by new generation computer tools. International Journal on Interactive Design and Manufacturing (IJIDeM), 14 (1), 59–76. doi: https://doi.org/10.1007/s12008-019-00612-4
- Nikolopoulos, L., Boulougouris, E. (2020). A novel method for the holistic, simulation driven ship design optimization under uncertainty in the big data era. Ocean Engineering, 218, 107634. doi: https://doi.org/10.1016/j.oceaneng.2020.107634
- Koutroukis, G., Papanikolaou, A., Nikolopoulos, L., Sames, P., Köpke, M. (2013). Multi-objective optimization of container ship design. Developments in Maritime Transportation and Exploitation of Sea Resources, 477–489. doi: https://doi.org/10.1201/b15813-58
- Priftis, A., Boulougouris, E., Turan, O. (2018). Parametric design and holistic optimisation of post-panamax containerships. Conference: 7th European Transport Research Arena (TRA 2018). Available at: https://www.researchgate.net/publication/324603164_Parametric_design_and_holistic_optimisation_of_post-panamax_containerships
- Frantsev, M. E. (2014). Ispol'zovanie chennyh metodov pri realizatsii zadachi parametricheskogo proektirovaniya kompozitnogo promyslovogo sudna dlya pribrezhnogo lova. Sudostroenie, 4, 30–34.
- Frantsev, M. E. (2010). Proektnoe obosnovanie optimal'nyh sochetaniy harakteristik massy, moshchnosti i skorosti dlya skorostnyh sudov iz kompozitov metodami analiza baz dannyh. Transportnoe stroitel'stvo, 3, 53–59.
- Statistical Analysis and Determination of Regression Formulas for Main Dimensions of Container Ships based on IHS Fairplay Data. Available at: https://docplayer.net/50727912-Statistical-analysis-and-determination-of-regression-formulas-for-main-dimensions-of-container-ships-based-on-ihs-fairplay-data.html
- Cepowski, T., Chorab, P. (2021). Determination of design formulas for container ships at the preliminary design stage using artificial neural network and multiple nonlinear regression. Ocean Engineering, 238, 109727. doi: https://doi.org/10.1016/j.oceaneng.2021.109727
- Elvekrok, D. R. (1997). Concurrent Engineering in Ship Design. Journal of Ship Production, 13 (04), 258–269. doi: https://doi.org/10.5957/jsp.1997.13.4.258
- Larkin, Yu. M., Onishchenko, A. F. (2015). Osobennosti proektirovaniya balkerov. Herald of the Odessa National Maritime University, 3, 219–228. Available at: http://nbuv.gov.ua/UJRN/Vonmu_2015_3_22
- Pinskiy, A. N. (1977). Ispol'zovanie statisticheskih metodov v algoritmah avtomatizirovannoy sistemy proektirovaniya. Voprosy sudostroeniya. Seriya «Proektirovanie», 13, 131–140.
- Zhukovskaya, V. M., Muchnik, I. B. (1976). Faktorniy analiz v sotsial'no-ekonomicheskih issledovaniyah. Moscow: «Statistika», 153.
- Kim, Dzh.-O., Myuller, Ch. U., Klekka, U. R., Oldenderfer, M. S., Bleshfild, R. K. (1989). Faktorniy, diskriminantniy i klasterniy analiz. Moscow: «Finansy i statistika», 216.
- Louli, D., Maksvell, A. (1967). Faktorniy analiz kak statisticheskiy metod. Moscow: Mir, 144.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Oleksandr Demidiuk, Michail Kosoy, Anastasiia Zaiets
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.
