Experimental and Theoretical Study on Carbonization Coefficient Model of NS/SAP Concrete

被引:1
|
作者
Li, Shiquan [1 ,2 ]
Chen, Yu [2 ]
Tang, Can [2 ]
Wang, Jinyuan [2 ]
Liu, Ronggui [2 ,3 ]
Wang, Haojie [4 ]
机构
[1] Nanjing Univ Sci & Technol, Taizhou Inst Sci & Technol, Taizhou 225300, Peoples R China
[2] Jiangsu Univ, Fac Civil Engn & Mech, Zhenjiang 212013, Peoples R China
[3] Nantong Inst Technol, Sch Civil Engn & Architecture, Nantong 226000, Peoples R China
[4] Suzhou Univ Sci & Technol, Tianping Coll, Suzhou 215009, Peoples R China
基金
中国国家自然科学基金;
关键词
concrete carbonization; accelerated carbonization; carbonization model; internal curing; super absorbent polymer (SAP); nano-silica (NS); CARBONATION; RESISTANCE;
D O I
10.3390/buildings12122227
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Carbonization coefficient research has great significance in concrete carbonization evaluation. Nano-silica (NS) can reduce the content of Ca(OH)(2), which is generated during the hydration of concrete, resulting in improved carbonization resistance and compressive strength of concrete. This paper investigates the carbonization effects of concrete with internal curing, such as Super Absorbent Polymer (SAP). The research shows that SAP can promote hydration of the internal concrete but form tiny pores after releasing the water completely, which may cause a reduction of carbonation resistance of concrete. The concrete was modified by adding SAP, ranging from 0 to 0.24%, to ascertain the optimal content of SAP. The addition of NS changed the concrete from 0 to 1.5% to confirm the optimal range of NS. To establish a reasonable suitable theoretical model of NS/SAP concrete, the influence factors of the carbonization coefficient of concrete were analyzed first. Later, the accelerated carbonization test was carried out on 100 mm x 100 mm x 100 mm cube specimens with different carbonization time to obtain the compressive strength and carbonization depth to establish the carbonization coefficient model of NS/SAP concrete. Before analyzing experimental data, the specimens were randomly divided into fitting and validation groups. Based on the regression analysis of the fitting group, the carbonization coefficient model was established, which embodied the influence of various parameters on concrete carbonization, including SAP content, NS content, water-cement ratio, CO2 concentration, temperature, relative humidity, and compressive strength. According to the validation analysis of the verification group, the mean relative error of the model is 5.04%, and the residual mean square error is 0.1751. Compared with the literature models, this study's carbonization model can accurately predict the carbonization depth of NS/SAP concrete.
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页数:13
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