Durability performance of pervious concrete containing rice husk ash and calcium carbide: A response surface methodology approach

被引:53
|
作者
Adamu, Musa [1 ]
Ayeni, Kingsley Oyime [1 ]
Haruna, Sadi Ibarahim [1 ]
Mansour, Yasser El-Husseini Ibrahim [2 ]
Haruna, Sani [1 ]
机构
[1] Bayero Univ, Fac Engn, Dept Civil Engn, PMB 3011, Kano, Kano State, Nigeria
[2] Prince Sultan Univ, Engn Management Dept, Riyadh 11586, Saudi Arabia
关键词
Pervious concrete; Rice husk ash; Calcium carbide; Permeability; Response surface methodology; ROLLER COMPACTED CONCRETE; FLY-ASH; CRUMB RUBBER; CEMENTITIOUS MATERIAL; NANO-SILICA; RESIDUE; STRENGTH; PAVEMENT; PERMEABILITY; MIXTURES;
D O I
10.1016/j.cscm.2021.e00547
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Pervious concrete is a special type of concrete used for stormwater management due to its high porosity and permeability. However, the large pores in pervious concrete resulted to its low mechanical strength. Moreover, the emissions of greenhouse gases from Portland cement (PC) production are high and contribute to climate changes leading to climate change. Calcium carbide waste (CCW) and rice husk ash (RHA) were used as supplementary cementitious material to partially replace Portland cement by 5%, 10 %, 15 %, and 20 %. Response Surface Methodology was used to design the experiments and develop models for predicting the water absorption and permeability of PC. The properties of the developed pervious concrete like water permeability and water absorption were investigated. The most vital property of the pervious concrete is water-permeability. The result findings showed that both RHA and CCW have negative effect on the durability of PC, with RHA having the worst effect. The RSM models developed showed a high degree of correlation between the variables and the responses. The optimized variables which give the best durability performance was a combination of 0% RHA and 5% CCW having the following properties, water permeability between 0.96 cm/s and water absorption of 4.338 %. The developed models can be used for predicting the permeability and water absorption capacity of pervious concrete. (C) 2021 The Authors. Published by Elsevier Ltd.
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页数:13
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