Multi-objective robust early stage ship design optimisation under uncertainty utilising surrogate models

Priftis, Alexandros; Boulougouris, Evangelos; Turan, Osman; Atzampos, Georgios

doi:10.1016/j.oceaneng.2019.106850

Cited by 25 publications

(8 citation statements)

References 14 publications

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“…The parametric design and multi-objective optimization of ships under uncertainty applying the Holistic Optimization Design Approach are presented in [7]. The developed optimization procedure begins with setting up a detailed parametric model that captures both the external and internal geometric characteristics of the ship, along with the integration of several numerical tools.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization Model to Manage Ship Fuel Consumption and Navigation Time

Rudzki

Gomulka

Hoang

2022

Polish Maritime Research

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Owners of vessels are interested in the lowest possible operating costs. These costs are mainly related to fuel consumption during navigation. To manage it rationally, the main decision-making problem is selecting the proper parameters of the ship’s propulsion system during navigation. In practice, operators of ships equipped with controllable pitch propellers controlled in manual mode make a selection of the commanded outputs based on their own knowledge, intuition, and all accessible information regarding sea conditions. In many cases, their decisions are unreasonable or incorrect. Therefore, it would be desirable to support their decision-making in selecting the commanded outputs. For this reason, we have decided to develop a decision support system in the form of an expert system. This computer-aided system supports the selection of the commanded outputs of the ship’s propulsion system. The most important component of this system is the two-criteria optimization model, allowing the rational management of the ship fuel consumption and navigation time.

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Section: Literature Reviewmentioning

confidence: 99%

Optimization Model to Manage Ship Fuel Consumption and Navigation Time

Rudzki

Gomulka

Hoang

2022

Polish Maritime Research

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“…The unavoidable uncertainties involved in the design process were taken into account by Priftis et al [3] in their multi-objective ship design methodology, which was applied to a Ro-Pax vessel case study involving the optimisation of building cost in terms of steel weight minimisation.…”

Section: Introductionmentioning

confidence: 99%

Cost, Energy Efficiency and Carbon Footprint Analysis of Hybrid Light-Weight Bulk Carrier

Palomba

Marchese

Crupi

et al. 2022

JMSE

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Integrating innovative solutions for ship design has always been a great challenge for the maritime sector due to complex design and construction processes. With this scenario in mind, the objective of this study was to develop a procedure to evaluate the potential benefits arising from the integration of innovative light-weight structures in ship hull structural design. To achieve such an objective, a hybrid light-weight ship hull structural design solution, in which aluminium honeycomb sandwich panels were used to build the conventional steel inner side shell of the cargo holds, was adopted for a bulk carrier. The authors of this study used a multiple criteria decision-making approach. An optimal ship hull structural design solution was identified based on capital cost, voyage cost, annual cost, energy efficiency design index, dismantling–reselling cost, cargo transportation, energy consumption and carbon footprint. The optimal solution, identified with the multiple criteria decision-making approach, improved the ship’s efficiency and costs by combining the hybrid structural design with efficient cargo transportation. In addition, using recycled aluminium was found to be a promising strategy to reduce the energy consumption and carbon footprint related to the shipbuilding process.

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“…ere are lots of uncertainty problems existing in various engineering systems. To improve the performance of engineering systems, reliability-based design (RBD) has been widely used in various engineering fields [1][2][3][4][5]. RBD involves the finding of balanced designs that are economical and reliable in the presence of uncertainties.…”

Section: Introductionmentioning

confidence: 99%

The Reliability‐Based Design Optimization of considering Rock‐Support Interaction for Rock Tunnels

Zhao

Chen

2021

Advances in Civil Engineering

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Uncertainty is critical to the tunnel design. In this study, a novel reliability-based design (RBD) method was developed by integrating the rock-support interaction and its uncertainties for rock tunnels. In this method, the rock-support interactions were analyzed based on a convergence-confinement method. Uncertainties were estimated by reliability analysis using Excel Solver. Chaotic particle swarm optimization (CPSO) was adopted to search the optimal tunnel design parameters based on the rock-support interaction analysis. The proposed method for estimating the reliability index and determining the tunnel support parameters was introduced in detail. To illustrate the proposed method, it was applied to two tunnels with rock-bolt and combined support systems. The results indicated that the method could obtain accurate solutions with a dramatically improved computing efficiency, guaranteeing the tunnel stability at the same time. The developed method provides an excellent way to deal with the uncertainty in tunnel design. It was proved to be an efficient and effective method for the support designs of rock tunnels.

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Multi-objective robust early stage ship design optimisation under uncertainty utilising surrogate models

Cited by 25 publications

References 14 publications

Optimization Model to Manage Ship Fuel Consumption and Navigation Time

Optimization Model to Manage Ship Fuel Consumption and Navigation Time

Cost, Energy Efficiency and Carbon Footprint Analysis of Hybrid Light-Weight Bulk Carrier

The Reliability‐Based Design Optimization of considering Rock‐Support Interaction for Rock Tunnels

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