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Featured researches published by Hitoi Tamaru.


Pan-American Conference of Naval Engineering | 2017

Effect of Encountered Wave Condition on Fatigue Life Prediction of Ship Structures

Luis De Gracia; Hitoi Tamaru; Naoki Osawa; Toichi Fukasawa

Ship weather routing develops an optimum track for ocean voyages based on a forecast of weather, sea conditions, and a ship’s individual characteristics for a particular transit. In these days, most ships follow weather routing, and those ships never experience extremely severe seas. In classification society rules, ship structure fatigue assessment is performed without consideration of weather routing. In these assessments, the occurrence probability of severe seas is overestimated and their recurrence interval is underestimated. This might lead to deterioration in fatigue assessment precision. In this study, S–N-based fatigue assessments of a welded joint in a container ship that follows weather routing are performed. This ship sails on a North Atlantic Ocean route. Fatigue lives are evaluated assuming different encountered wave conditions: for a planned route, “Great Circle Route,” and a weather routing, “Minimum Time Route.” Short sea sequences are generated by a storm model using hindcast data. The storm profiles are determined by using the cumulative frequency of shot seas which is experienced on the MTR routes. Based on these results, the effect of encountered wave conditions on cumulative fatigue damage is discussed.


The Journal of Japan Institute of Navigation | 2013

船舶の航跡に対するトラッキング制御に関する研究―AIS・GPS情報を利用した制御について―

Hitoi Tamaru; Ruri Shoji; Tsukuru Konno

Maritime traffic data are observed by many institutions. Effectually utilization of those data is inspected. Others, tracking control for straight route or curve route is effective by precedence study. In this study, target trajectories were made from three (3) observations (Coastal Station using automatic identification system (AID), Global Positioning System (GPS), and Control System in Shioji Maru). Saving data of Control System include position, heading and yaw rate and that interval is 1 second. Trajectory data by Coastal Station include position, heading and yaw rate but that interval is inconstant. Trajectory data by GPS have only position, that interval is 2 second. An order rudder angle is calculated by present ships situation and trajectorys data. This control algorithm is inspected by simulation and actual ship experiments.


The Journal of Japan Institute of Navigation | 2005

Development of Automatic Berthing System for Kaisho Maru and Its Performance Evaluation

Hitoi Tamaru; Hideki Hagiwara; Hideki Yoshida; Tetsuo Tasaki; Hiroaki Miyabe


The Journal of Japan Institute of Navigation | 2008

A New Approach to Automatic Radar Tracking with and without Supplementing AIS Data in Tokyo Bay

Minh Duc Nguyen; Hitoi Tamaru


Volume 3: Structures, Safety, and Reliability | 2018

A Study on the Stochastic Aspects of the Whipping Vibrations in a Container Ship

Luis De Gracia; Naoki Osawa; Kazuhiro Iijima; Toichi Fukasawa; Hitoi Tamaru


KnE Engineering | 2018

A Comparative Study on Fatigue Damage using a Wave Load Sequence Model

Luis De Gracia; Naoki Osawa; Hitoi Tamaru; Toichi Fukasawa


The 27th International Ocean and Polar Engineering Conference | 2017

A Study on the Influence of Weather Routing on the Preciseness of Ship Structure's Fatigue Assessment

Luis De Gracia; Hitoi Tamaru; Naoki Osawa; Toichi Fukasawa


海上技術安全研究所報告 | 2012

A Practical Approach to Optimum Ship Routing under Uncertain Conditions(Summaries of Papers published by Staff of National Maritime Research Institute at Outside Organization)

Takeshi Yokoi; Ruri Shoji; Hitoi Tamaru; Hideo Yabuki; Kohei Ohtsu


The Journal of Japan Institute of Navigation | 2012

Automatic Collision Avoiding Control of Own Ship in Critical Cases Based on Game Theory

Minh Duc Nguyen; Kohei Ohtsu; Hitoi Tamaru


Annual of Navigation | 2010

A Study on An Automatic Navigation System Basing on Radar and AIS Data

Minh Duc Nguyen; Hitoi Tamaru

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Ruri Shoji

Tokyo University of Marine Science and Technology

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Kohei Ohtsu

Tokyo University of Marine Science and Technology

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Toichi Fukasawa

Osaka Prefecture University

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Minh Duc Nguyen

Tokyo University of Marine Science and Technology

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El Hocine Tasseda

Tokyo University of Marine Science and Technology

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Tadashi Okano

Tokyo University of Marine Science and Technology

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