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All Journal KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Sinergi
Wicaksono, Ardhana
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Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Simulasi numerik large-deformation surface wave dengan smoothed particle hydrodynamics Trimulyono, Andi; Wicaksono, Ardhana
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 15, No 3 (2018): Oktober
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1119.408 KB) | DOI: 10.14710/kapal.v15i3.21535

Abstract

Studi mengenai gelombang permukaan(surface wave) telah banyak dilakukan baik secara eksperimen, teoritis maupun komputasi. Perkembangan teknologi komputer membuat komputasi dinamika fluida komputasi menjadi lebih cepat dan efisien salah teknologi untuk mempercepat komputasi general purpose of computing Graphics processor units(GPGPU). Pada artikel ini komputasi numerik large-deformation surface wave dilakukan dengan Graphics processor units (GPUs). Simulasi numerik large-deformation surface wave menggunakan SPH dalam 2D dan 3D. Untuk mendapatkan efek dari perubahan kedalaman secara simultan digunakan box pada numerical wave tank (NWT) fenomena ini dikenal sebagai“bank effect”. Tujuan dari studi ini adalah untuk mereproduksi fenomena fisik dari pemodelan gelombang reguler maupun gelombang nonlinear dengan menggunakan obstacle box untuk mereproduksi fenomena large-deformation surface wave. Manfaat dari studi ini adalah fenomena large-deformation surface wave dapat direproduksi dengan SPH serta aplikasi SPH untuk permasalahan yang lebih kompleks dalam bidang teknik kelautan. Hasil dari studi ini menunjukan bahwa simulasi numerik SPH untuk large-deformation surface wave 2D dan 3D, SPH memiliki akurasi yang cukup tinggi baik untuk elevasi gelombang reguler maupun nonlinear.  
Analysis of empirical method for predicting maneuverability of ultra-large container ship using Maneuvering Modelling Group (MMG) model Zeinurrohman, Rangga; Trimulyono, Andi; Wicaksono, Ardhana; Hadi, Eko Sasmito; Samuel, Samuel; Hakim, Muhammad Luqman; Purwanto, Dedi Budi
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.016

Abstract

International Maritime Organization (IMO) provided manoeuvrability standards for all ships above 100 m to ensure the ship's safety and surroundings. In the preliminary design stage, one way to ensure a ship's manoeuvrability under IMO standards is to use empirical methods that are cheaper and less time-consuming than model tests. Empirical methods used analysis regression to develop their formula from the model test result database, and their formula depends on ship hull parameters and dimension ratios such as , , , and . However, the database of the existing empirical formulas is limited to small-medium merchant ships and fishing vessels, as consequences for larger ships are inaccurate and have a significant error in predicting ship manoeuvres. This study modified the existing empirical formulas by adding specified ship data into the existing database and analyzing the accuracy of predicting ship manoeuvres using the Maneuvering Modelling Group (MMG) model. We verify by adding the selected ship data into the existing database, which shows improvement in predicting ship manoeuvres. The modified formulas show improvement by only giving 5% RMSE of tactical diameter and 3% RMSE of ship advance in turning manoeuvre, and this is a 78% overall improvement in predicting the turning motion of ultra-large container ships compared to previous formulas. The quantitative and qualitative produce better estimation result that indicates the right track to derive the empirical formulas for Ultra-Large Container ships.
Co-Authors Andi Trimulyono Dedi Budi Purwanto Eko Sasmito Hadi Muhammad Luqman Hakim, Muhammad Luqman Samuel Samuel Zeinurrohman, Rangga