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硅酸盐通报 ›› 2023, Vol. 42 ›› Issue (5): 1814-1821.

所属专题: 资源综合利用

• 资源综合利用 • 上一篇    下一篇

低碱再生骨料植生混凝土吸返水特性表征模型研究

金珊珊1,2, 李傲东1,2, 张扬1,2   

  1. 1.北京建筑大学土木与交通工程学院,北京 100044;
    2.北京市城市交通基础设施建设工程技术研究中心,北京 100044
  • 收稿日期:2023-01-13 修订日期:2023-03-06 出版日期:2023-05-15 发布日期:2023-06-01
  • 通信作者: 李傲东,硕士研究生。E-mail:lad9595@163.com
  • 作者简介:金珊珊(1981—),女,博士,副教授。主要从事混凝土的研究。E-mail:jinshanshan@bucea.edu.cn
  • 基金资助:
    北京市教育委员会科学研究计划(KM202110016011);国家重点研发计划(2022YFC3803400,2021YFB2601200)

Characterization Model of Water Absorption and Reversion Characteristic of Low Alkali Recycled Aggregate Planting Concrete

JIN Shanshan1,2, LI Aodong1,2, ZHANG Yang1,2   

  1. 1. School of Civil Engineering and Transportation, Beijing University of Civil Engineering and Architecture, Beijing 100044, China;
    2. Beijing Urban Transportation Infrastructure Engineering Technology Research Center, Beijing 100044, China
  • Received:2023-01-13 Revised:2023-03-06 Online:2023-05-15 Published:2023-06-01

摘要: 为进一步提升低碱再生骨料植生混凝土在海绵城市各使用场景中设计与运营规划的合理性,通过压汞试验测定了天然骨料、再生混凝土骨料、再生红砖骨料的孔径分布,利用三种类型骨料配制低碱植生混凝土并分别测量其在吸水与返水状态下的吸水率-时间曲线和含水率-时间曲线,建立了低碱再生骨料植生混凝土吸返水特性的表征模型,并结合Pearson相关性系数揭示了植生混凝土吸返水特性的微观机理。结果表明:幂函数与双指数函数可较为精确地拟合各类型植生混凝土的吸水率-时间曲线(拟合优度R2不小于0.95)和含水率-时间曲线(拟合优度R2不小于0.99),其中幂函数吸水模型包括初始吸水系数与增量吸水系数两个参量,双指数返水模型包括初始含水系数、初始返水系数以及残余含水系数三个参量;骨料类型显著影响低碱植生混凝土的吸返水特性,这种差异主要来自骨料本身的孔隙结构,骨料100 nm 以上孔隙越多,植生混凝土的初期吸水速率越大,饱和吸水率越高,持续返水能力越强,骨料100 nm 以下的孔越多,返水后的残余含水率越高。此外,由于 100 nm 以下的孔可通过毛细作用持续吸水,而部分孔隙结构存在小孔(孔径100 nm以下)与大孔(孔径100 nm 以上)串联的情况,形成了毛细孔吸水、大孔储水的虹吸结构,故植生混凝土的持续吸水能力与 100 nm 以上及 100 nm 以下的孔均有显著关系。

关键词: 植生混凝土, 再生骨料, 低碱水泥, 孔隙结构, 吸返水特性, 微观机理

Abstract: To further improve the rationality of design and management of low alkali recycled aggregate planting concrete in various scenarios of sponge cities, the pore size distribution of natural aggregate, recycled concrete aggregate and recycled red brick aggregate were first measured by mercury intrusion porosimetry, then the water absorption rate-time curves and water content-time curves of planting concrete with different aggregates were measured separately in both water absorption and water reversion states. Characterization model of water absorption and reversion characteristic of low alkali recycled aggregate planting concrete established and Pearson correlation coefficients were applied to reveal the microscopic mechanism of water absorption and reversion characteristics of planting concrete. The results show that the water absorption rate-time curves (goodness of fit R2 no less than 0.95) and water content-time curves (goodness of fit R2 no less than 0.99) are fitted accurately by power function and double exponential function. The water absorption model includes two parameters, which are initial water absorption coefficient and incremental water absorption coefficient. The water reversion model includes three parameters, which are initial water content coefficient, initial water reversion coefficient and residual water content coefficient. Aggregate type significantly affects the water absorption and reversion characteristic of low alkali planting concrete, and this difference mainly comes from the pore structure of aggregate. A higher porosity of pores above 100 nm in aggregate provides planting concrete with a higher initial water absorption rate, stronger sustained water absorption capacity, a higher saturated water absorption rate, but reduce the residual water absorption rate after water reversion. Pores lower than 100 nm of aggregate increase the residual water content of planting concrete. In addition, the pores below 100 nm continuously absorb water through capillary action, and some pore structures have small pores (below 100 nm) in series with large pores (above 100 nm), forming a siphon structure with capillary pores absorbing water and large pores storing water, thus the continuous water absorption capacity of planting concrete is significantly related to both the pores above 100 nm and below 100 nm.

Key words: planting concrete, recycled aggregate, low alkali cement, pore structure, water absorption and reversion characteristic, microscopic mechanism

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