Journal of Navigation and Port Research

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Analyzing the Structure of Port Stakeholders in Port Risk Management: Tsenskhuu Nyamjav, Min-Ho Ha; J Navig Port Res. 2023;47(5):288-295. Published online October 31, 2023; DOI: https://doi.org/10.5394/KINPR.2023.47.5.288; Full text PubReader ePub PDF

Structural Safety Assessment of Piping Used in Offshore Plants According to Thermal Load and Motion: Bo Rim Ryu, Ho Keun Kang, Phan Anh Duong, Jin Uk Lee; J Navig Port Res. 2021;45(4):212-223. Published online August 31, 2021; DOI: https://doi.org/10.5394/KINPR.2021.45.4.212; Full text PubReader ePub PDF

A Study on the Adoption of Korean Register of Shipping Rules through the Analysis of Pile Driving Boat Capsizing: Won-Jun Chung, Jeong-Dae Kim, Sung-Boo Park, Kwang-Hyo Jung, Jae-Myung Lee; J Navig Port Res. 2019;43(1):33-41. Published online February 1, 2019; DOI: https://doi.org/10.5394/KINPR.2019.43.1.33; Full text PubReader PDF

Characteristics for Progressive Collapse Behavior and Ultimate Strength of Very Large Marine Structure: Joo-Shin Park, Jae-Yong Ko, Kyoung-Woo Lee; J Navig Port Res. 2009;33(5):315-321. Published online June 30, 2009; PDF

Structural analysis of an 38 feet diffusion style for high-speed catamaran yacht: Park, Joo-Shin, Ko, Jae-Yong, Lee, Kyoung-Woo, Oh, Woo-Jun; J Navig Port Res. 2009;33(3):167-174. Published online April 30, 2009; PDF

Volume 47, No. 5

Journal of Navigation and Port Research

Print ISSN: 1598-5725
Online ISSN: 2093-8470

MOST VIEWED MOST CITED

1,588	An Experimental Study on Hydrodynamic Forces of Korea Autonomous Surface Ship in Various Loading Condition
1,933	A Study on the Changes in Functions of Ship Officer and Manpower Training by the Introduction of Maritime Autonomous Surface Ships
2,072	Real-time Wave Overtopping Detection and Measuring Wave Run-up Heights Based on Convolutional Neural Networks (CNN)
1,680	A Study on the Effects of Strategic Item Attributes on Strategic Partnership in Supplier Dominant Relationship-Focused on Shipbuilding Industry
1,971	Simple Kinematic Model Generation by Learning Control Inputs and Velocity Outputs of a Ship

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