Seung-Hwan Boo

Prof. Dr. Seung-Hwan Boo

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Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2019 in Mechanical Systems and Signal Processing
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Journal Article
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JKJeong-Ho Kim
Jeong-Ho Kim
SBSeung-Hwan Boo
Seung-Hwan Boo
PLPhill-Seung Lee
Phill-Seung Lee

27 March 2021 in Applied Sciences
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SLSang-Ick Lee
Sang-Ick Lee
SBSeung-Hwan Boo
Seung-Hwan Boo
BKBEOMIL KIM
BEOMIL KIM
Owing to the increasing size and speed of ships to ensure economic efficiency, the hydroelastic phenomena of the hull have emerged as an important factor to be considered in the evaluation of strength during the design stage of current ship building procedures. In this study, we established a method to evaluate fatigue strength with linear spring effects using a 1D (one-dimensional) beam model and a 3D (three-dimensional) global Finite Element (FE) model. Firstly, FSI (fluid–structure interaction) analysis was carried out using the 1D beam model of a 15,000 twenty equivalent unit (TEU) container ship. In this step, the method proposed was to calculate the stress RAO (Response Amplitude Operator) of the hot spot points using only the hull girder load from the beam model. Next, a modal superposition analysis was carried out using the 3D global FE model that was directly calibrated to the fatigue damage of the hot spot points. Based on these stress transfer functions with hydroelastic effects, spectral fatigue analysis was carried out, and the portion of linear springing effects in the fatigue damage was analyzed, respectively. These results were compared with the rigid-body-based results in the final design stage. Finally, the applicability of the proposed method at the actual design stage is discussed.

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DKDoHyun Ko
DoHyun Ko
SBSeung-Hwan Boo
Seung-Hwan Boo
In this study, we propose effective formulations for modal, frequency response, and transient analyses using condensed matrices of the finite element (FE) model. Employing the iterated improved reduced system (IIRS) method, a transformation matrix is defined that condenses the stiffness and inertial effects of nodes to be neglected into nodes of interest. Using this, the condensed mass and stiffness matrices are derived. With these two condensed matrices, a condensed damping matrix is derived using the Rayleigh damping. By considering the condensed matrices in the original structural dynamic formulation based on the global FE matrices, the condensed structural dynamic formulation is derived, and the approximated solutions are calculated from this condensed formulation. To verify the performance of the proposed formulation, we perform a structural dynamic analysis on a stiffened plate, and by comparison with the solutions calculated from the global FE matrices, the proposed formulations have been found to provide highly accurate solutions with an excellent computational efficiency.

14 May 2022 in Journal of Computational Design and Engineering
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HSHan-Seop Shin
Han-Seop Shin
SBSeung-Hwan Boo
Seung-Hwan Boo
In this paper, to evaluate the residual stress of welded structures efficiently, we propose a welding simulation method utilizing a reduced order model. To construct the reduced order model, a finite element model is divided into a target part and an omitted part. For the heat transfer analysis, a thermal boundary condition is newly defined and applied to the target part, to compensate for the heat loss induced by neglecting the omitted part. For the thermal elastic plastic analysis, a reduced model for the target part is constructed using the automated static condensation method. The performance of the proposed welding simulation method adopting the reduced order model is verified by solving several welding problems, and it effectively reduces computational costs while predicting the residual stress with little loss of accuracy.

28 November 2025 in Thin-Walled Structures
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SBSeung-Hwan Boo
Seung-Hwan Boo
HRHyomin Ryu
Hyomin Ryu
SKSeung Hwan Kim
Seung Hwan Kim
JKJaemin Kim
Jaemin Kim

8 January 2025 in Mathematics
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SBSeung-Hwan Boo
Seung-Hwan Boo
CHCheolgyu Hyun
Cheolgyu Hyun
SKSan Kim
San Kim
CLChaemin Lee
Chaemin Lee
The increasing demand for dynamic analysis of large-scale structural systems has highlighted the need for efficient model reduction methods. Reduced order modeling allows large finite element models to be represented with significantly fewer degrees of freedom while retaining essential dynamic characteristics. This paper investigates the Enhanced Craig–Bampton (ECB) method and further explores its application in dynamic analysis. The effectiveness of the ECB method is evaluated by comparing it with the conventional Craig–Bampton (CB) method and the full finite element model using benchmark examples. The numerical results demonstrate that the ECB method provides superior accuracy and computational efficiency, making it a valuable tool for dynamic analysis in complex engineering problems.