Recycled Aggregate Pervious Concrete: Analysis of Influence of Water-Cement Ratio and Fly Ash under Single Action and Optimal Design of Mix Proportion

Pervious concrete is recommended,which is of great benefit to the ecological environment and human living environment.In this paper,the influences of five water-cement ratios and four fly ash contents to replace the cement by mass with a water-cement ratio of 0.30 on the properties of Recycled Aggregate Pervious Concrete(RAPC)were studied.Following this,based on the Grey relational-Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS)optimization method,the strength,permeability,abrasion loss rate,and material costs of RAPC were adopted as evaluation indices to establish a mix proportion optimization model.The results show that the increase of water-cement ratio and fly ash replacement level of RAPC leads to decreased compres-sive strength while an increase in the permeability and abrasion loss rate.According to test results based on the optimal model 0.30 was identified as the best mix proportion.In addition,ecological-economic analysis of RAPC raw materials was carried out by comparing different natural aggregates.The results of EE(embodied energy)and ECO 2e(embodied CO_(2) emission)pointed out that the combination of recycled aggregate and fly ash leads to sig-nificant ecological and economic benefits.

Effects of Recycled Aggregate Content on Pervious Concrete Performance

A recycled aggregate(RA)was prepared by crushing and sieving demolished discarded concrete pavements and was subsequently tested and analyzed to determine its various physical properties.On this basis,pervious concrete(PC)mix proportions were designed.Coarse RA particles with sizes of 5–10 and 10–20 mm were selected.Concrete specimens were prepared with a water–cement ratio of 0.3,an aggregate–cement ratio of 4.5,the substitute rates of RA with 0,25%,50%,75%and a single-/double-gap-graded RA mix(mass ratio of particles with sizes of 5–10 mm to particles with sizes of 10–20 mm:1:1,1:2,2:1,2:3 and 3:2).Various properties of the RA-containing PC(RPC)were determined by analyzing the compressive strength,splitting tensile strength,effective porosity,permeation coefficient and impact and abrasion resistance of the specimens.The results showed the following:The density of the RPC decreased with an increasing RA replacement ratio.The density of the RPC prepared with a double-gapgraded RA mix was lower than that prepared with a single-gap-graded RA(particle size:10–20 mm)mix.The permeation coefficient of the RPC increased with increasing porosity.The splitting tensile strength of the RPC was positively correlated with its compressive strength.The compressive strength of the RPC decreased with increasing porosity.The regression analysis showed that the impact and abrasion resistance of the RPC increased with increasing compressive strength.In addition,all of the RPC specimens met the strength and permeation requirements.This study can provide theoretical support for the application of RPC.

Mechanical and Permeability Analysis and Optimization of Recycled Aggregate Pervious Concrete Based on Response Surface Method

In this paper,the effects of different influencing factors and factor interaction on the compressive strength and permeability of recycled aggregate pervious concrete(RAPC)were studied based on the response surface method(RSM).By selecting the maximum aggregate size,water cement ratio and target porosity as design variables,combined with laboratory tests and numerical analysis,the influences of three factors on the compressive strength and permeability coefficient of RAPC were revealed.The regression equation of compressive strength and permeability coefficient of recycled aggregate pervious concrete were established based on RSM,and the response surface model was optimized to determine the optimal ratio of RAPC under the conditions of meeting the mechanical and permeability properties.The results show that the mismatch item of the model is not significant,the model is credible,and the accuracy and reliability of the test are high,but the degree of uncorrelation between the test data and the model is not obvious.The sensitivity of the three factors to the compressive strength is water cement ratio>maximum coarse aggregate particle size>target porosity,and the sensitivity to the permeability coefficient is target porosity>maximum coarse aggregate particle size>water cement ratio.The absolute errors of the model prediction results and the model optimization results are 1.28 MPa and 0.19 mm/s,and the relative errors are 5.06%and 4.19%,respectively.With high accuracy,RSM can match the measured results of compressive strength and permeability coefficient of RAPC.

再生骨料透水混凝土关键性能统计及预测分析

对再生骨料透水混凝土(RAPC)4项关键性能指标(抗压强度、劈拉强度、孔隙率及透水系数)进行了统计分析,发现这4项性能指标均基本服从正态分布规律;同时建立了RAPC宏观性能的统计规律与内在联系.在此基础上,基于人工神经网络方法,运用Python软件建立了基于BP神经网络的RAPC性能预测模型,并对上述关键性能指标进行了相互预测分析.结果表明:4项性能指标的模型预测值平均相对误差均在10%以内,预测精度较高,表明RAPC的透水性能与强度性能之间具有内在的反向关联关系,并具备可预测性.

再生骨料管孔透水混凝土关键性能及预测

针对普通再生骨料透水混凝土(RAPC)强度低的问题,从孔隙存在形式入手,提出了一种再生骨料管孔透水混凝土,即将随机分布的孔隙集中成上下连通的管孔,必要时嵌入管材,研究不同管孔参数(数量、直径、材料、分布形式等)的组合对其性能的影响及变化规律,并提出强度折减系数法,构建抗压强度与管孔参数理论计算模型,同时建立了基于管流公式和达西定律的透水系数计算模型。结果表明:再生骨料管孔透水混凝土的强度与透水性能远优于RAPC;再生骨料管孔透水混凝土的孔数越少,管径越小,抗压强度越高,透水系数越小,反之亦反;抗压强度理论模型能够较准确地量化孔数、孔径、孔分布对再生骨料管孔透水混凝土抗压强度的折减作用;透水系数与再生骨料管孔透水混凝土的孔数、孔径、孔糙率有显著的线性关系。可根据实际需求自行设计再生骨料管孔透水混凝土的管孔结构。