Economic parametric optimization and uncertainty analysis in ship design using Monte Carlo simulations
Economic parametric optimization and uncertainty analysis in ship design using Monte Carlo simulations
Economic efficiency must be considered in ship concept design. There are many uncertain internal and external factors in the ship design process. This paper concentrates on the optimization of a ship’s economic performance while considering the influence of uncontrollable factors on the output response. Firstly, the economic-objective function and the mathematical optimization model of a bulk carrier are established, and design space and constraints are proposed. Secondly, two algorithms are adopted to perform deterministic
multi-objectives optimization. Thirdly, sensitivity analysis of the design parameters is conducted as well as the output response uncertainty analysis based on Monte Carlo simulations. The results reveal that, when random variables obey a specific distribution, the corresponding distribution of uncertainty effects will also exist in the output response. Therefore, the necessity of uncertainty analysis in parametric ship concept design is verified.
Ship design, economic, Optimization design, Uncertainty analysis, Monte Carlo simulation
286-292
Hou, Yuanhang
f71b3f13-ed85-4867-ad12-3d729acf2a6e
Fu, Chong
bfb1b254-050f-48c0-81aa-9d0f65657204
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
14 July 2021
Hou, Yuanhang
f71b3f13-ed85-4867-ad12-3d729acf2a6e
Fu, Chong
bfb1b254-050f-48c0-81aa-9d0f65657204
Xiong, Yeping
51be8714-186e-4d2f-8e03-f44c428a4a49
Hou, Yuanhang, Fu, Chong and Xiong, Yeping
(2021)
Economic parametric optimization and uncertainty analysis in ship design using Monte Carlo simulations.
Liu, G. R. and Hung, Nguyen-Xuan
(eds.)
In ScienTech Publisher LLC, USA.
vol. 8,
ScienTech Publisher.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Economic efficiency must be considered in ship concept design. There are many uncertain internal and external factors in the ship design process. This paper concentrates on the optimization of a ship’s economic performance while considering the influence of uncontrollable factors on the output response. Firstly, the economic-objective function and the mathematical optimization model of a bulk carrier are established, and design space and constraints are proposed. Secondly, two algorithms are adopted to perform deterministic
multi-objectives optimization. Thirdly, sensitivity analysis of the design parameters is conducted as well as the output response uncertainty analysis based on Monte Carlo simulations. The results reveal that, when random variables obey a specific distribution, the corresponding distribution of uncertainty effects will also exist in the output response. Therefore, the necessity of uncertainty analysis in parametric ship concept design is verified.
Text
ICCM2021_Hou_Chong&Xiong
- Accepted Manuscript
More information
e-pub ahead of print date: 14 July 2021
Published date: 14 July 2021
Venue - Dates:
The 12th International Conference on Computational Methods (12th ICCM), 4th-8th July 2021, Virtual Conference, ZOOM, 2021-07-04 - 2021-07-08
Keywords:
Ship design, economic, Optimization design, Uncertainty analysis, Monte Carlo simulation
Identifiers
Local EPrints ID: 450191
URI: http://eprints.soton.ac.uk/id/eprint/450191
PURE UUID: ce2f50a0-4491-47a4-ad7c-3736b4cf77aa
Catalogue record
Date deposited: 15 Jul 2021 16:36
Last modified: 06 Jun 2024 01:39
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Contributors
Author:
Yuanhang Hou
Author:
Chong Fu
Editor:
G. R. Liu
Editor:
Nguyen-Xuan Hung
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