Chungkuk Jin

Assistant Professor

Florida Institute of Technology

United States

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Chungkuk Jin is an Assistant Professor at the Florida Institute of Technology, United States. His research focuses on the application of machine learning and hydroelasticity in marine engineering, specifically concerning floating structures and wave dynamics. Recent articles authored by him include studies on ocean wave parameter estimation, mooring failure detection, and the analysis of submerged structures under wave conditions.

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Collaborators (4)

HeonYong Kang

Assistant Professor

Texas A&M University

UNITED STATES

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MooHyun Kim

Texas A&M University

UNITED STATES

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Do Kyun Kim

Seoul National University

SOUTH KOREA

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Woo Chul Chung

Assistant Professor

Korea Maritime and Ocean University

SOUTH KOREA

View details

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Chungkuk Jin

Research Interests

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About

Articles (30)

Data-driven inverse estimation of ocean wave parameters using field-measured FPSO motion and environmental data

Wave-field reconstruction using stereo cameras on a floating platform in a synthetic environment

Machine Learning-Based Mooring Failure Detection for FPSOs: A Two-Step ANN Approach

Multi-body-based 2D hydro-elasticity simulations in time domain for moored floating structure

Simplified analysis method for pontoon-supported floating bridges under waves

Parametric excitation of submerged floating tunnel caused by nonlinear tether stiffness

On the Static Stability and Seakeeping Performance of a Submerged Floating Tunnel Module in Wet Tow

Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks

Impact of hull flexibility on the global performance of a 15 MW concrete-spar floating offshore wind turbine

Recent advances in Discrete-Module-Beam-based hydroelasticity method as an efficient tool approach for continuous very large floating structures

Real-time dynamic and structural behavior estimation of a steel lazy wave riser through finite-element-based digital twin and hull-motion sensor

Development of Conductive Mortar for Efficient Sacrificial Anode Cathodic Protection of Reinforced Concrete Structures—Part 2: Four-Year Performance Evaluation in Bridges

Digital twin approach with minimal sensors for Riser's fatigue-damage estimation

Dynamics of a moored submerged floating tunnel under tsunami waves

Feasibility investigation of tuned mass damper for vibration control of curved floating bridge in winds and waves

On the correction of hydrostatic stiffness for discrete-module-based hydroelasticity analysis of vertically arrayed modules

Time-dependent responses and mooring tensions of a moored floating structure in tsunami waves

Inverse estimation of a vertical current velocity profile using motions of an FPSO and artificial neural network

Multivariable design optimization for adaptive resonance of a surface riding wave energy converter

Efficient time-domain approach for hydroelastic-structural analysis including hydrodynamic pressure distribution on a moored SFT

Real-time inverse estimation of multi-directional random waves from vessel-motion sensors using Kalman filter

Numerical investigations of flow over wavy cylinders at sub-critical Reynolds number

Fatigue damage prediction of top tensioned riser subjected to vortex-induced vibrations using artificial neural networks

Comparison Study and Forensic Analysis between Experiment and Coupled Dynamics Simulation for Submerged Floating Tunnel Segment with Free Ends under Wave Excitations

Discrete-module-beam-based hydro-elasticity simulations for moored submerged floating tunnel under regular and random wave excitations

Dynamic Behavior Assessment of OC4 Semi-submersible FOWT Platform Through Morison Equation

Dual-Algorithm Hybrid Method for Riser Structural Health Monitoring Using the Fewest Sensors

Development of Conductive Mortar for Efficient Sacrificial Anode Cathodic Protection of Reinforced Concrete Structures—Part 1: Laboratory Experiments

Optimization of Tuned Mass Damper for Submerged Floating Tunnel with Frequency-Domain Dynamics Simulation

Prediction of dynamic and structural responses of submerged floating tunnel using artificial neural network and minimum sensors

Collaborators (4)

HeonYong Kang

MooHyun Kim

Do Kyun Kim

Woo Chul Chung

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