7th ACUDR The Asian Conference on Urban Reduction (2026.06)바로가기
페이지
pp.91-91
저자
Dongmin Song, Jaemin Lee, Yeonjae Lee, Hyeong-hoon Lee, Il-young Jang
언어
영어(ENG)
URL
https://www.earticle.net/Article/A490256
원문정보
초록
영어
Structural failures in steel connections under extreme loading conditions, such as earthquakes or unexpected impact loads, can lead to catastrophic progressive collapse. Among various connection types, the T-stub connection is a fundamental component whose failure mode is highly sensitive to the geometric configuration of its bolts. This study proposes an automated parameter optimization framework for bolt layouts in H-beam T-stub connections to mitigate prying action and enhance structural resilience against disasters. To achieve a high-fidelity analysis, a nonlinear finite element (FE) model was developed using Abaqus. The model incorporates an H-400x200x8x13 section and M20 (F10T) high-strength bolts, accounting for complex surface-to-surface contact, material plasticity, and large deformation effects. To transition from traditional trial-and-error design to a datadriven safety management approach, the FE model was integrated with Isight to automate the optimization of critical design variables: the gauge distance (g) and edge distance (e). The optimization process employed the Optimal Latin Hypercube design of experiments (DOE) to sample the design space efficiently. A surrogate model was subsequently constructed using Response Surface Methodology (RSM) to analyze the sensitivity of the structural response to bolt positioning. The results demonstrate that optimizing the bolt coordinates can significantly reduce the prying force, thereby preventing premature bolt fracture and increasing the energy dissipation capacity of the connection. From a disaster information perspective, this research provides a quantitative foundation for Digital Twin-based structural health monitoring. By establishing a relationship between geometric parameters and failure limits, the proposed methodology enables more accurate safety assessments of existing infrastructure. This study contributes to the development of intelligent disaster prevention systems by integrating advanced numerical simulation with automated optimization techniques to ensure the structural integrity of steel-framed buildings.
저자
Dongmin Song [ Kumoh National Institute of Technology; ADAMS Consultant; Daesan Civil Engineering Co., Ltd. ]
Jaemin Lee [ Kumoh National Institute of Technology; ADAMS Consultant; Daesan Civil Engineering Co., Ltd. ]
Yeonjae Lee [ Kumoh National Institute of Technology; ADAMS Consultant; Daesan Civil Engineering Co., Ltd. ]
Hyeong-hoon Lee [ Kumoh National Institute of Technology; ADAMS Consultant; Daesan Civil Engineering Co., Ltd. ]
Il-young Jang [ Kumoh National Institute of Technology; ADAMS Consultant; Daesan Civil Engineering Co., Ltd. ]