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D
Daeyong Lee
kunsan national university
6
H指数
21
论文数
80
被引数
0
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7
发表时间
发表时间
IF
被引数
Coupled hydrodynamic-structural modeling of marine growth effects on fatigue life of floating offshore wind turbine pontoons
考虑海生物生长影响的浮式海上风电塔筏体疲劳寿命的流固耦合建模
Applied Ocean Research
IF
4.4
2026-08-01
0
PRE
AI
Ali, Sajid; Waleed, Muhammad; Lee, Daeyong
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Influence of bolt strength in L-type flange joints for wind turbine support structures: An experimental investigation
L型法兰连接在风力涡轮机支撑结构中螺栓强度的影响:一项实验研究
Structures
IF
4.3
2025-12-19
0
OA
AI
Muhammad Hassaan Farooq Khan; Daeyong Lee
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A Multivariate AI-Driven Generalized Framework for Structural Load Prediction of Monopile Used for Offshore Wind Turbines Under Non-Linear Wind and Wave Conditions
一种用于非线形风浪条件下海上风力涡轮机单桩结构荷载预测的多变量AI驱动广义框架
Journal of Marine Science and Engineering 2025, Vol. 13, Page 2154
IF
2.8
2025-11-18
0
OA
AI
Sajid Ali; Muhammad Hassaan Farooq Khan; Daeyong Lee
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Numerical Analysis of Critical Embedment Depth of Offshore Monopile Foundations in Clay
黏土中海上单桩基础临界埋深数值分析
Journal of Marine Science and Engineering 2025, Vol. 13, Page 2118
IF
2.8
2025-11-08
0
OA
AI
Ali Khezri; Hongbae Park; Daeyong Lee
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AI-calibrated quantile matching estimation: A new method for accurate Weibull parameter prediction under irregular wind distributions
AI校准的分位数匹配估计:一种在非规则风速分布下实现Weibull参数精确预测的新方法
Energy Conversion and Management
IF
10.9
2025-10-23
0
PRE
AI
Sajid Ali; Muhammad Waleed; Daeyong Lee
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Numerical analysis of offshore monopile foundations in layered clay
分层黏土中海上单桩基础数值分析
Applied Ocean Research
IF
4.4
2025-06-30
0
OA
AI
Ali Khezri; Hongbae Park; Daeyong Lee
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A novel AI-based CNN model to predict the structural performance of monopile used for offshore wind energy systems
一种基于AI的CNN模型,用于预测用于海上风能系统的单桩的结构性能
ENERGY CONVERSION AND MANAGEMENT-X
IF
7.6
2025-04-01
1
OA
AI
Ali, Sajid; Waleed, Muhammad; Lee, Daeyong
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研究方向
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合作学者
合作期刊
M
Muhammad Waleed
H 指数: 13 · 论文数: 105
S
Sajid Ali
H 指数: 10 · 论文数: 45
H
Hongbae Park
H 指数: 7 · 论文数: 26
A
Ali Khezri
H 指数: 5 · 论文数: 11
M
Muhammad Hassaan Farooq Khan
H 指数: 2 · 论文数: 8
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