中文摘要：

为了研究暴雨作用下透水路面的快速堵塞机理，研发了一种与电导率测试相结合的实时渗透性测试系统，基于该测试系统开展了一系列堵塞模拟试验；为了使饱水的透水混凝土试件内形成电路，方便测量电阻率变化，在透水混凝土试件上方均匀喷洒NaCl溶液模拟暴雨过程；水深达到要求深度后，微型电机带动叶轮转动形成不同水平流速；将筛分后的河砂作为堵塞材料均匀撒入透水混凝土试件上表面，以模拟道路堵塞过程。采用控制变量法分别研究了透水混凝土孔隙率、泥砂粒径、地表径流深度以及径流速度对孔隙堵塞引起的透水路面渗透性降低的影响。结果表明：堵塞过程经历了孔隙快速堵塞、部分恢复和渐进堵塞3个阶段；当透水混凝土孔隙率较大、堵塞泥砂级配良好、雨洪径流较深时，透水路面更容易发生堵塞；水平径流流速的增大只能延缓透水混凝土堵塞的发展过程，但不影响其最终的堵塞程度；透水混凝土电导率的变化能够准确反映透水混凝土的堵塞过程；基于柯兹尼一卡曼方程得到了透水路面快速堵塞预测模型，研究结果可为进一步研究和评价透水混凝土堵塞提供重要方法，并有助于透水混凝土路面的优化设计。

英文摘要：

To investigate the mechanism of rapid clogging of the pervious concrete pavement under rainstorm, a real-time permeability measurement system combined with the electric conductivity measurement was developed. A series of simulation tests on clogging were conducted with this system. In order to form a circuit in the saturated pervious concrete specimen and measure the variation of electrical resistivity more easily, NaC1 solution was uniformly sprayed over the specimen to simulate the rainstorm process. After achieving the required depth of water, different horizontal flow velocities were formed by impeller which is motivated by micro motor. The sorted river sand, as the clogging material, was uniformly sprinkled on the specimen＇s surface to simulate the clogging process of pervious concrete pavement. The effects of porosity of pervious concrete, sediment size, depth of surface water runoff, water runoff velocity on the permeability reduction due to clogging of the previous pavement by controlling variables. The results show that pore clogging process generally includes three phases, which are quick clogging, temporary mitigation of clogging and progressive clogging. The clogging is more easily to occur for specimens with large porosity which is treated well-graded sand as the water runoff is relatively deep. The clogging process is postponed with the increase of horizontal runoffs velocity, but the final clogging ratio would not be affected. Besides, the variation of electric conductivity of pervious concrete can accurately reflect the clogging process of pervious concrete. A rapid clogging prediction model can be derived from the Kozeny-Carmen equation, and the results can provide a crucial method for further investigating and evaluating the clogging of pervious concrete, which is beneficial for the optimized design for the concrete.