Tong‐Seok Han
연세대학교 건설환경공학부 · 공학
Tong-Seok Han 교수의 연구실은 케멘트 페이스트의 다상 미세구조와 기계적 거동 간의 상관관계를 해석하기 위해 고해상도 이미징, 유한요소 해석, 그리고 인공지능 기반 3D 미세구조 재구성 기법을 융합한 연구를 수행합니다. 특히, micro-CT 기반 분석과 나노인덴테이션을 통한 물성 평가, 그리고 GAN 기반의 3D 미세구조 재현 기술을 통해 물성 예측의 정확성과 효율성을 높이고자 합니다. 연구는 상호연결성, 비대칭성, 상분포 특성 등 미세구조의 기하학적 특성이 기계적 거동에 미치는 영향을 정량적으로 분석하는 데 초점이 맞춰져 있습니다.
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The behavior of cement paste is significantly affected by the phase distribution characteristics within the material. However, studying the correlation between the microstructural characteristics and intrinsic properties involves time-consuming experiments. Thus, simulations can help accelerating the process. In this study, a method using micro-CT imaging analysis and nanoindentation within the framework of finite element analysis was proposed to investigate the mechanical properties of the ceme
A quantitative measure of anisotropic phase connectivity is investigated. The isotropic stereological parameter, contiguity, is extended to characterize the anisotropic phase connectivity. Two mathematical representations for characterizing the anisotropic contiguity are presented, one based on C0 piecewise polynomials and the other on tensorial expansions. The anisotropic contiguities for several virtual specimens having different phase morphologies are investigated with the aid of a numerical
This study proposes an artificial intelligence based framework for reconstructing the 3D multi-phase cement paste microstructure to evaluate its mechanical properties using simulation. The reconstruction of cement paste microstructures is performed using modified generative adversarial networks (GANs) based on microstructural images from micro-CT. For computational efficiency, 2D microstructures are first reconstructed and then extended to 3D microstructures. The reconstructed microstructures ex
