摘要
为了深入揭示高性能箱型复合结构受力机理并有效提升结构整体性能,通过定义四种混凝土翼板模式开展高性能箱型复合结构增韧模型理论研究。通过建立剪力滞翘曲位移模型和界面滑移模式,推导出考虑剪力滞行为与界面滑移相互影响的控制微分方程,求得在均布荷载作用下的增韧模型理论解析解,进一步以界面滑移量、剪力滞系数、混凝土材料为韧性指标,对提出的增韧模型进行优化计算分析表明:II型增韧模型受剪力滞影响程度仅为0.04%~0.05%,混凝土材料用量节约35.00%,为四种模型中基于剪力滞与滑移耦合行为的最优高性能箱型复合结构增韧模型,便于为水利、土木工程韧性指标设计提供技术支撑。
In order to further reveal the mechanical mechanism of high performance box composite structures and effectively improve their overall performances,four types of concrete wing modes were defined to carry out theoretical research on toughening model of high performance box composite structures.By establishing the shear-lag warpage displacement model and interfacial slip model,the governing differential equation was derived by considering the interaction between shear-lag behaviors and interfacial slips,and the theoretical analytical solution of the toughening model was obtained under uniformly distributed load.Further,with the interfacial slip,shear-lag coefficient and concrete material as the toughness indices,the optimization calculation and analysis of the proposed toughening model show that:Type II toughening model is only affected by shear lag by 0.04%-0.05%,and the concrete material consumption is reduced by 35.00%.It is the optimal high-performance box composite toughening model based on the coupled behaviors of shear lag and slip among the four models,which conveniently provides technical support for the design of toughness indices of water conservancy and civil engineering.
作者
喻江
胡少伟
范向前
陆俊
YU Jiang;HU Shao-wei;FAN Xiang-qian;LU Jun(International Joint Research Centre for Water Science and Water Engineering,Nanjing,Jiangsu 210029,China;Nanjing Hydraulic Research Institute,Nanjing,Jiangsu 210024,China;Zhengzhou University College of Water Resources and Civil Engineering,Zhengzhou,He’nan 450001,China)
出处
《工程力学》
EI
CSCD
北大核心
2024年第S01期38-49,共12页
Engineering Mechanics
基金
国家自然科学青年基金项目(52109160)
国家自然科学基金重点项目(51739008)
国家重点研发计划项目(2021YFB2600704)。
关键词
高性能
复合结构
增韧模型
韧性指标
优化计算
high performance
composite structure
toughening model
toughness index
optimization calculation
