A new method for optimal ship design in real sea states using the ship power profile

Esmailian, Ehsan; Steen, Sverre

doi:10.1016/j.oceaneng.2022.111893

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…Optimising ship structures is essential in the maritime sector to improve performance and efficiency [31]. By validating the optimised design, potential issues can be detected and resolved early on, leading to a more economically efficient and reliable final product [32]. Table 7 briefly compares von Mises stress factors before and after optimisation, alongside allowable stress thresholds.…”

Section: Before Optimisationmentioning

confidence: 99%

A Two-Stage Optimisation of Ship Hull Structure Combining Fractional Factorial Design Technique and NSGA-II Algorithm

Abedin,

Franklin,

Mahmud

2024

JMSE

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The intricate nature of ships and floating structures presents a significant challenge for ship designers when determining suitable structural dimensions for maritime applications. This study addresses a critical research gap by focusing on a three-cargo hold model for a multipurpose cargo ship. The complex composition of these structures, including stiffening plates, deck plates, bottom plates, frames, and bulkheads, necessitates thorough structural analysis to facilitate effective and cost-efficient design evaluation. To address this challenge, the research utilises FEMAP-integrated NX NASTRAN software (2021.2) to assess hull girder stress. Furthermore, a novel approach is introduced, integrating the Design of Experiments (DOE) principles within Minitab 21.4.1 software to identify critical parameters affecting hull girder stress and production costs. This method determined the top five key parameters influencing hull girder stress: Hatch coaming plate, Hatch coaming top plate, Main deck plate, Shear strake plate, and Bottom plate, while also highlighting key parameters that impact production costs: the inner bottom plate, Inner side shell plate, Bottom plate, Web frame spacing, and Side shell plate. Ship design optimisation is then carried out by incorporating regression equations from Minitab software into the Non-dominated Sorting Genetic Algorithm II (NSGA-II), which is managed using Python software (PyCharm Community Editon 2020.3.1). This optimisation process yields a significant 10% reduction in both ship weight and production costs compared to the previous design, achieved through prudent adjustments in plate thickness, web frame positioning, and stiffener arrangement. The optimally designed midship section undergoes rigorous validation to ensure conformity with industry standards and classification society regulations. Necessary adjustments to inner bottom plates and double bottom side girders are made to meet these stringent requirements. This research offers a comprehensive framework for the structural optimisation of ship hulls, potentially enhancing safety, sustainability, and competitiveness within the maritime engineering industry.

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Section: Before Optimisationmentioning

confidence: 99%

A Two-Stage Optimisation of Ship Hull Structure Combining Fractional Factorial Design Technique and NSGA-II Algorithm

Abedin,

Franklin,

Mahmud

2024

JMSE

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“…Esmailian [24] performed a similar study by comparing the power prediction obtained with an ANN model and a numerical model, albeit only for one general cargo ship en route between Italy and Norway.…”

Section: Studies On Ship Fuel Consumptionmentioning

confidence: 99%

A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model

Ferlita

Nardo

et al. 2023

JMSE

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Two methods were compared to predict a ship’s fuel consumption: the simplified naval architecture method (SNAM) and the deep neural network (DNN) method. The SNAM relied on limited operational data and employed a simplified technique to estimate a ship’s required power by determining its resistance in calm water. Here, the Holtrop–Mennen technique obtained hydrostatic information for each selected voyage, the added resistance in the encountered natural seaways, and the brake power required for each scenario. Additional characteristics, such as efficiency factors, were derived from literature surveys and from assumed working hypotheses. The DNN method comprised multiple fully connected layers with the nonlinear activation function rectified linear unit (ReLU). This machine-learning-based method was trained on more than 12,000 sample voyages, and the tested data were validated against realistic operational data. Our results demonstrated that, for some ship topologies (general cargo and containerships), the physical models predicted more accurately the realistic data than the machine learning approach despite the lack of relevant operational parameters. Nevertheless, the DNN method was generally capable of yielding reasonably accurate predictions of fuel consumption for oil tankers, bulk carriers, and RoRo ships.

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“…Spesifikasi mesin ini nantinya akan berpengaruh selanjutnya terhadap penentuan layout kamar mesin atau jenis konstruksi sistem penunjangnya yang berada di ruangan kamar mesin kapal [8]. Termasuk didalamnya adalah stabilitas kapal dan desain hidrostatik dari kapal, mengingat kapal yang dirancang ini adalah kapal barang sehingga pemamfaatan ruangan untuk kebutuhan barang atau cargo dan kontainer sangat diperhitungkan [9]. Pemilihan jenis mesin juga berpengaruh terhadap kebutuhan bahan bakar serta sistem bahan bakar baik itu sistem loading atau unloading bahan bakarnya.…”

Section: Pendahuluanunclassified

Analisis Perhitungan Daya Main Engine Container Ship 100 teus Jarak Pelayaran 556 Nautical mill

Yusim,

Khristyson

2023

j.rekayasa.mesin.

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Dalam menunjang performa kapal ketika beroparsi maka diperlukan suatu sistem propulsi yang tepat. Kapal memiliki karateristik dimana tahanan yang ditimbulkan akan menghasilkan gesekan yang menahan proses lajunya kapal di permukaan air laut. Perlunya perbandingan dan pembuktian adanya korelasi antara perhitungan tahanan total dengan melibatkan tahanan gesek terhadap air, udara dalam suatu perencanaan kapal terhadap perencanaan sistem propulsi dari kapal. Tujuan penelitian melakukan analisa terhadap perhitungan hambatan total, daya serta spesifikasi mesin induk kapal kontainer 100 teus jarak pelayaran 556 nautical mill. Pendekatan perhitungan hambatan total kapal dapat disajikan dengan menggunakan metode Guldamer-Harvard. Hasil Analisa menunjukan untuk tahanan total 62,31 KN mendapatkan spesifikasi mesin model 12 cylinder diesel engine dengan 1656 Hp / 1900 rpm , percobaan sea trial pada kapal kontainer 100 Teus didapatkan kelajuan kapal 11,2 Knot untuk beban mesin 100 %.

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A new method for optimal ship design in real sea states using the ship power profile

Cited by 10 publications

References 21 publications

A Two-Stage Optimisation of Ship Hull Structure Combining Fractional Factorial Design Technique and NSGA-II Algorithm

A Two-Stage Optimisation of Ship Hull Structure Combining Fractional Factorial Design Technique and NSGA-II Algorithm

A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model

Analisis Perhitungan Daya Main Engine Container Ship 100 teus Jarak Pelayaran 556 Nautical mill

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