Taeseong Kim

About Taeseong Kim

Taeseong Kim, With an exceptional h-index of 22 and a recent h-index of 19 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Wind Turbine, Helicopter, Aeroelasticity.

His recent articles reflect a diverse array of research interests and contributions to the field:

Initial structural damage detection approach via FE-based data augmentation and class activation map

Development of three-dimensional co-rotational beam model for nonlinear dynamic analysis of highly flexible slender composite blades

LQG control for hydrodynamic compensation on large floating wind turbines

Development of an anisotropic co-rotational beam model including variable cross-section

Numerical analysis and comparison study of the 1: 60 scaled DTU 10 MW TLP floating wind turbine

Definition of Best Practice for Testing Icephobic Surfaces

Technical Report Results of IEA Wind TCP" Definition of Best Practice for Testing Icephobic Surfaces"

Deep Learning-based Initial Structural Damage Detection Approach via Sub-structuring Class Activation Map

Taeseong Kim Information

University

Position

Professor Department of Wind Energy

Citations(all)

2436

Citations(since 2020)

1641

Cited By

1372

hIndex(all)

22

hIndex(since 2020)

19

i10Index(all)

34

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Taeseong Kim Skills & Research Interests

Wind Turbine

Helicopter

Aeroelasticity

Top articles of Taeseong Kim

Initial structural damage detection approach via FE-based data augmentation and class activation map

Structural Health Monitoring

2023/9

Hyejin Kim
Hyejin Kim

H-Index: 11

Taeseong Kim
Taeseong Kim

H-Index: 15

Development of three-dimensional co-rotational beam model for nonlinear dynamic analysis of highly flexible slender composite blades

Mechanics of Advanced Materials and Structures

2023/5/19

Stephanos Theodossiades
Stephanos Theodossiades

H-Index: 24

Taeseong Kim
Taeseong Kim

H-Index: 15

LQG control for hydrodynamic compensation on large floating wind turbines

Renewable Energy

2023/3/1

Development of an anisotropic co-rotational beam model including variable cross-section

Mechanics of Advanced Materials and Structures

2023/2/1

Stephanos Theodossiades
Stephanos Theodossiades

H-Index: 24

Taeseong Kim
Taeseong Kim

H-Index: 15

Numerical analysis and comparison study of the 1: 60 scaled DTU 10 MW TLP floating wind turbine

Renewable Energy

2023/1/1

Taeseong Kim
Taeseong Kim

H-Index: 15

Antonio Pegalajar-Jurado
Antonio Pegalajar-Jurado

H-Index: 8

Definition of Best Practice for Testing Icephobic Surfaces

2022

Taeseong Kim
Taeseong Kim

H-Index: 15

Jianying He
Jianying He

H-Index: 23

Technical Report Results of IEA Wind TCP" Definition of Best Practice for Testing Icephobic Surfaces"

2022

Taeseong Kim
Taeseong Kim

H-Index: 15

Jianying He
Jianying He

H-Index: 23

Deep Learning-based Initial Structural Damage Detection Approach via Sub-structuring Class Activation Map

2022

Taeseong Kim
Taeseong Kim

H-Index: 15

Boundary conditions of flow transition model for roughened surface

AIAA Journal

2022/1

Chankyu Son
Chankyu Son

H-Index: 4

Taeseong Kim
Taeseong Kim

H-Index: 15

Numerical simulations of a 15MW wind turbine on a concrete TLP with rigid pipe tendons

Journal of Physics: Conference Series

2022/11/1

Fabio Pierella
Fabio Pierella

H-Index: 7

Taeseong Kim
Taeseong Kim

H-Index: 15

Non-Linear Aeroelastic Analysis of 10 MW Wind Turbine Systems

AFORE

2022/9

Stephanos Theodossiades
Stephanos Theodossiades

H-Index: 24

Taeseong Kim
Taeseong Kim

H-Index: 15

Experimental Study for Understanding Wind Turbine Icing under Different Operating Conditions with a Rotating Vertical Axis Wind Turbine

AFORE

2022/9

Taeseong Kim
Taeseong Kim

H-Index: 15

Sustainable data-driven framework via transfer learning for icing-detection of high aspect ratio blades

Cold Regions Science and Technology

2022/9/1

Chankyu Son
Chankyu Son

H-Index: 4

Taeseong Kim
Taeseong Kim

H-Index: 15

An extensive code-to-code comparison of a modified version of IEA15MW-UMaine Floating Wind Turbine for H2020 HIPERWIND project

2022/6/1

Taeseong Kim
Taeseong Kim

H-Index: 15

Anand Natarajan
Anand Natarajan

H-Index: 8

A robust gain scheduling method for a PI collective pitch controller of multi-MW onshore wind turbines

Renewable Energy

2022/6/1

Wind turbine load estimation using machine learning and transfer learning

Journal of Physics: Conference Series

2022/5/1

Wei Yu
Wei Yu

H-Index: 6

Taeseong Kim
Taeseong Kim

H-Index: 15

A comprehensive code-to-code comparison study with the modified IEA15MW-UMaine Floating Wind Turbine for H2020 HIPERWIND project

Journal of Physics: Conference Series

2022/5/1

Taeseong Kim
Taeseong Kim

H-Index: 15

Anand Natarajan
Anand Natarajan

H-Index: 8

Stability Margin Analysis for PI Pitch Controllers on Large Wind Turbines

2022/4/20

Post-Optimum Sensitivity Analysis with Automatically Tuned Numerical Gradients Applied to Swept Wind Turbine Blades

Energies

2022/4/20

Frederik Zahle
Frederik Zahle

H-Index: 22

Taeseong Kim
Taeseong Kim

H-Index: 15

Swept Blade Dynamic Investigations for a 100 kW Small Wind Turbine

Energies

2022/4/20

Taeseong Kim
Taeseong Kim

H-Index: 15

See List of Professors in Taeseong Kim University(Danmarks Tekniske Universitet)

Co-Authors

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