Factors Affecting Carbonation Depth in Foamed Concrete Bricks for Accelerate CO2 Sequestration

被引:11
作者
Alshalif, Abdullah Faisal [1 ]
Irwan, J. M. [1 ]
Tajarudin, Husnul Azan [2 ]
Othman, N. [3 ]
Al-Gheethi, A. A. [3 ]
Shamsudin, S. [4 ]
Altowayti, Wahid Ali Hamood [3 ]
Sabah, Saddam Abo [1 ]
机构
[1] Univ Tun Hussein Onn Malaysia, Fac Civil Engn & Built Environm, Jamilus Res Ctr Sustainable Construct JRC SC, Johor Baharu 86400, Kagawa, Malaysia
[2] Univ Sains Malaysia, Sch Ind Technol, Div Bioproc, Gelugor 11800, Pulau Pinang, Malaysia
[3] Univ Tun Hussein Onn Malaysia, Fac Civil Engn & Built Environm, Micro Pollutant Res Ctr MPRC, Johor Baharu 86400, Malaysia
[4] Univ Tun Hussein Onn Malaysia, Adv Mfg & Mat Ctr SMART AMMC, Sustainable Mfg & Recycling Technol, Johor Baharu 86400, Malaysia
关键词
carbonation depth; chamber; temperature; statistical analysis; 2(k) factorial; RSM; FLY-ASH; AERATED CONCRETE; CEMENT; STRENGTH; POWDER;
D O I
10.3390/su131910999
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Foamed concrete bricks (FCB) have high levels of porosity to sequestrate atmospheric CO2 in the form of calcium carbonate CaCO3 via acceleration of carbonation depth. The effect of density and curing conditions on CO2 sequestration in FCB was investigated in this research to optimize carbonation depth. Statistical analysis using 2(k) factorial and response surface methodology (RSM) comprising 11 runs and eight additional runs was used to optimize the carbonation depth of FCB for 28 days (d). The main factors selected for the carbonation studies include density, temperature and CO2 concentration. The curing of the FCB was performed in the chamber. The results indicated that all factors significantly affected the carbonation depth of FCB. The optimum carbonation depth was 9.7 mm, which was determined at conditions; 1300 kg/m(3), 40 & DEG;C, and 20% of CO2 concentration after 28 d. Analysis of variance (ANOVA) and residual plots demonstrated the accuracy of the regression equation with a predicted R-2 of 89.43%, which confirms the reliability of the predicted model.
引用
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页数:15
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