In conventional construction methods, the slab-balcony junction often experiences thermal bridging. This phenomenon arises from the discontinuity of insulation materials, leading to energy loss and condensation that can compromise the structure's usability and durability. To address this issue, thermal break insulation systems were installed between the slab and balcony to effectively prevent thermal bridging and energy loss, thereby improving the overall energy efficiency of buildings. This study aims to enhance both the structural performance and thermal efficiency of slab-balcony connections in residential buildings. To assess the impact of the thermal break insulation system, two experimental specimens were prepared: one incorporating the system and the other without it. Experimental results confirmed that the inclusion of reinforcing bars significantly improved the connection's structural load-bearing capacity. Furthermore, thermal analysis revealed that the thermal break insulation system outperformed conventional insulation methods by reducing the thermal damage ratio and maintaining higher surface temperatures at the connection. In addition, a structural analysis using an FEM (finite element analysis) program was conducted to evaluate the load distribution across the specimens, demonstrating that the experimental data accurately predicted the structural behavior of the connections.

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1. 서 론
2. 실험 계획
    2.1 실험체 구성
    2.2 재료 실험
    2.3 가력 및 계측 계획
3. 실험 결과
    3.1 RC-SLB-THK 210 실험결과
    3.2 LBN-EXT-SLB-H6B4-H210 실험결과
4. FEM 구조해석 결과
    4.1 재료 특성 및 모델링 프로세스
    4.2 실험과 구조해석에서의 결과 비교 및 분석
    4.3 변수모델 구조성능 비교, 분석
5. 열해석 결과
6. 결 론
/ 감사의 글 /
/ REFERENCES /

• 안효서(세종대학교 건축공학과 딥러닝건축연구소 연구원) | An Hyoseo (Researcher, Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University)
• 이지영(세종대학교 건축공학과 딥러닝건축연구소 연구원) | Lee Jiyoung (Researcher, Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University)
• 유영종((주)정양SG 연구소장) | Yoo Youngjong (Laboratory Chief, Jeong Yang SG Co.)
• 안상희((주)정양SG 책임연구원) | An Sanghee (Principal Investigator, Jeong Yang SG Co.)
• 김형근((주)더픽알앤디 대표이사) | Kim Hyunggeun (Chief Executive Officer, Thepick R&D Co., Ltd.)
• 이기학(세종대학교 딥러닝건축연구소 건축공학과) | Lee Kihak (Professor, Deep Learning Architecture Research Center, Department of Architectural Engineering, Sejong University) Corresponding author