인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract With the continuous advancement in the construction of long-span bridges in China, the application of mass concrete bearing platforms has significantly increased, rendering temperature control a critical technical challenge. The Shiziyang Bridge project features a double-deck steel truss suspension bridge with a main span of 2 180 m. Its main pier employs separated bearing platforms, each circular in plan with a diameter of 40 m and height of 9.0 m. Constructed using C45 concrete, each platform contains over 10,000 m 3 of concrete. To mitigate thermal cracking risks and enhance crack resistance, this study implemented comprehensive temperature control strategies through Midas FEA finite element analysis and intelligent field temperature monitoring systems. Key findings revealed that both numerical simulations and field measurements demonstrated the effectiveness of cooling pipe arrangements with horizontal spacing of 100 cm and vertical spacing of 80 cm in reducing thermal gradients. The minimum crack resistance safety factor calculated through finite element methods reached 1.47, exceeding the specified limit of 1.4 and satisfying stress control criteria. Field monitoring recorded a maximum internal temperature peak of 64 ℃, with maximum internal-surface and surface-ambient differentials of 23.4 ℃ and 19.8 ℃ respectively, all complying with design specifications. The intelligent temperature control system successfully achieved precise regulation through automated cooling water flow adjustment, temperature monitoring, and directional water flow reversal, thereby ensuring the realization of seamless bearing platforms for the western pylon of Shiziyang Bridge. This technical approach provides valuable references for thermal management in mega-scale concrete structures, demonstrating that integrated numerical simulation and intelligent monitoring can effectively control hydration heat effects while maintaining structural integrity.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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