硅酸盐通报2024，Vol.43Issue(4)：1398-1409,12.
基于图像法对自密实超高性能混凝土性能提升的研究
Performance Enhancement of Self-Compacting Ultra-High Performance Concrete Based on Image Analysis Method
摘要
Abstract
To enhance the performance of ultra-high performance concrete(UHPC),an improved Andreasen & Andersen particle packing model was employed to design the matrix mix.Using image analysis method,the study examined the influence of different matrix viscosities on the distribution of steel fibers in UHPC.By judiciously combining compressive strength considerations with fiber distribution coefficients,an optimal matrix viscosity was selected.The research further investigated the effects of steel fibers with varying shapes and volume fractions on mechanical properties,ultimately determining the optimal mix proportions for achieving the best mechanical performance.The test results show that achieving an appropriate viscosity in the UHPC matrix,through uniform steel fiber dispersion while minimizing internal air bubbles,further enhances UHPC compressive strength.Corrugated steel fibers exhibit superior dispersion compared to hooked and straight fibers at the same viscosity,resulting in a more pronounced improvement in the mechanical properties of the UHPC matrix.The optimal mix proportions for UHPC are as follows:a water-to-binder ratio of 0.16,a mass ratio of cement to silica fume to slag at 0.75:0.2:0.05,a 3％volume fraction of corrugated steel fibers,a superplasticizer mass fraction of 0.8％.At this point,the powder particles exhibit the closest packing,steel fibers are uniformly distributed,resulting in the optimal performance of UHPC.关键词
超高性能混凝土/颗粒紧密堆积理论/钢纤维/单丝拉拔/抗压强度/图像法Key words
ultra-high performance concrete/close particle packing theory/steel fiber/pull-out/compressive strength/image analysis method分类
建筑与水利引用本文复制引用
毛翔,杨鼎宜,曹忠露,赵健,陈龙祥,王彤章..基于图像法对自密实超高性能混凝土性能提升的研究[J].硅酸盐通报,2024,43(4):1398-1409,12.基金项目
江苏省重点研发计划(社会发展)项目(BE2022776) （社会发展）
中交第一航务工程局有限公司揭榜挂帅项目(2022-YHJJBGS-02) （2022-YHJJBGS-02）
扬州市科技计划项目(YZ2021166) （YZ2021166）
