Structural optimization of midship section in preliminary design
This article deals about solving of naval architecture problem using optimization technique. This is basically the Genetic Algorithm, which is developed for dealing with the uncertainty in variables. The Excel Solver used to solve the structural optimization of midship section. Stiffness panels a...
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Format: | Theses and Dissertations |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | http://hdl.handle.net/10356/68741 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | This article deals about solving of naval architecture problem using optimization
technique. This is basically the Genetic Algorithm, which is developed for dealing with the
uncertainty in variables. The Excel Solver used to solve the structural optimization of
midship section. Stiffness panels and plate thickness are optimized using genetic algorithm
to reduce its weight which is an iterative procedure that helps in minimizing the structural
weight. Scantlings of midship section are analyzed using classification society rules. The
validation of midship section modulus calculations are performed using MARS 2000 BV
software. Genetic Algorithm helps to find a number of feasible solutions under certain set of
constraints to decrease the weight function in the preliminary design stage. This application
is made to optimize problems for discrete variables and non-linear constraints and objective
functions. The purpose of this article is to give alternative design in preliminary design stage
for the desired objective function. This paper presents a container vessel midship section with
optimization result. Optimization of midship section of the 6600 DWT multi-purpose
container ship structure to improve the performance of stability and economy. This article
also incorporates the performance characteristics of the resultant optimal design choices.
Hence we can minimize the hull structure weight and the construction cost using the obtained
design parameters. |
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