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A Study on Parameter Optimization of High-Strength Bolt Layout in H-Beam T-Stub Connections for Disaster Prevention and Enhanced Structural Safety

첫 페이지 보기
  • 발행기관
    한국재난정보학회 바로가기
  • 간행물
    한국재난정보학회 학술발표대회 바로가기
  • 통권
    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. ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국재난정보학회 [The Korean Society of Disaster Information]
  • 설립연도
    2005
  • 분야
    사회과학>사회복지학
  • 소개
    한국재난정보학회는 공공기관, 학계, 연구기관 그리고 민간관련회사 등의 상호협력과 유대강화를 통하여 국가 및 민간차원의 안전관련 재난정보 공유를 통한 재난사고에 대한 예방시스템 구축, 재난예방 관련 전문가 양성 교육, 연구용역 등 학문발전에 기여함을 목적으로 한다.

간행물

  • 간행물명
    한국재난정보학회 학술발표대회
  • 간기
    부정기
  • 수록기간
    2005~2026
  • 십진분류
    KDC 338 DDC 361

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