J. Y. Na, S. J. Han, E. B. Park and G. H. Yoon. Finite Elements in Analysis & Design 252, 104459 (2025). This study aims to enhance the accuracy and robustness of structural damage identification by extending the statistical topology optimization (STO) framework. While previous STO research has primarily focused on isotropic materials, its applicability to orthotropi...
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관리자 2025-09-23 152
M. Shin and G. H. Yoon. Structural and Multidisciplinary Optimization 68:190 (2025) This research employs a topology optimization based on deep reinforcement learning (DRL) technique to design structures for noise reduction. Reinforcement learning (RL) is a type of machine learning in which an agent gradually learns to find the optimized solution through various experie...
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관리자 2025-09-10 131
H. M. Lee, M. J. Park, and G. H. Yoon. Powder Technology 468, 121589 (2026). Granular beds subjected to vertical mechanical vibration become fluidized and exhibit convection patterns, yet the influence of vibration energy input on the convection rate remains underexplored. Here, we demonstrate that a unified energy parameter 𝜀, which encapsulates both velocity and a...
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관리자 2025-09-10 119
Y. D. Yoon and G. H. Yoon. Structural and Multidisciplinary Optimization 68, 86 (2025). This paper presents a novel approach to optimizing the design of structures for controlling particle behavior through the application of Bayesian optimization techniques. Particle behavior is highly sensitive to initial conditions, leading to uncertainty in predicting behavior. ...
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관리자 2025-01-15 524
S. J. Han and G. H. Yoon. International Journal for Numerical Methods in Engineering 126 (1), e7600 (2025). The present study develops a new topology optimization scheme considering the dynamic instability caused by the unsymmetrical properties of system. From a mathematical point of view, the left and right eigenvectors of asymmetric system are observed with the com...
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관리자 2025-01-15 451
D. Y. Kim, M. J. Kim, C. I. Kim, and G. H. Yoon. Measurement Science and Technology (2025). This study develops a looseness detection system of bolted joints using a Variational Mode Decomposition (VMD)-based Nonlinear Transformation (NT) approach combined with a deep residual neural network. Bolted structures are susceptible to loosening due to environmental factors and...
