Mix Design Optimization of Silica Fume-Based Pervious Concrete for Removal of Heavy Metals from Wastewaters

作者：Yousefi Ali; Matavos Aramyan Sina^*

来源：Silicon, 2018, 10(4): 1737-1744.

DOI：10.1007/s12633-017-9663-5

• Pervious concrete
• Urban runoff
• Heavy metals
• Fractional factorial design
• Wastewater treatment

In the past decade more attention has been paid to storm waters as well as urban runoff as a new source of water. While these waters can be effectively used, one should remove their unwanted pollutants; thus the effect of mix design factors on removal of Cu and Ni from aqueous solution was investigated. For this purpose a fractional factorial experiment was used and the results were analyzed and optimized by using Minitab 17 software. Subsequently, appropriate amounts of natural zeolite, iron oxide and superplasticizer were optimized by Response Surface Methodology (RSM), with the goal of maximizing Cu and Ni removal as well as increasing permeability and minimizing the cost of concrete construction. The optimum mix design of pervious concrete includes pumice aggregate (grain size between No. 4 similar to No. 3/8" sieve), W/C (0.25), A/C (4), 100 Kg Portland cement per cubic meter of concrete, silica fume (5.05 percentage of cement weight), zeolite (5.45 percentage of cement weight), iron oxide (0.5 percentage of cement weight), and superplasticizer (0.11 percentage of cement weight). Verification samples indicated 69% Ni removal, 84.5% Cu removal, the compressive strength of 2 MPa and permeability coefficient of 1.6 cm/s.

• 出版日期2018-7