Performance optimization and hydration characteristics of BOF slag-based autoclaved aerated concrete (AAC)

Jiang, Jun; Lu, Xiaolei; Niu, Teng; Hu, Yueyang; Wu, Jiaming; Cui, Wenyu; Zhao, Degang; Ye, Zhengmao

doi:10.1016/j.cemconcomp.2022.104734

Cited by 22 publications

(2 citation statements)

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“…Quartz sand with the appropriate neness reacts well in a short time to form tobermorite with high crystallinity. By using waste sugar slag or BOF instead of lime, 3,15 the aerated concrete generated a higher proportion of the tobermorite phase. Its structural surface showed a ner needle-like crystal morphology and a higher crystallinity.…”

Section: Introductionmentioning

confidence: 99%

Influence of high altitude on the strength of aerated concrete

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Influence of high altitude on the strength of aerated concrete

et al. 2023

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“…Aerated concrete (AC) is a lightweight porous material made by introducing expansion agents into a slurry mixed with binders, supplementary cementitious material, fine aggregate, admixture and water [ 2 , 3 , 4 ]. Due to its small bulk density, good thermal insulation and fire resistance, AC attracted extensive interest in the field of energy-efficient and thermal insulation [ 5 , 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Experimental Substantiation of the Thermal Properties of Non-Autoclaved Aerated Concrete with Recycled Concrete Powder

Wang

et al. 2022

Materials

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Non-autoclaved aerated concrete (NAAC) is a two-phase material with a concrete matrix and air, exhibits good thermal insulation performance and shows good potential in the insulating construction industry. In this study, recycled concrete fine powder was used as an auxiliary cementing material, and the NAAC with different porosity and distribution was fabricated by the non-autoclaved method at different curing temperatures. The effect of porosity on the thermal conductivity and mechanical strength of NAAC is analyzed by experimental tests. A prediction method of thermal conductivity combining pore structure reconstruction and numerical simulation was proposed, which is established by two steps. Firstly, the pore size distributions of NAAC with different porosities were characterized by stereology image analyses. Secondly, the thermal conductivity prediction model based on the pore structure information was established by a COMSOL steady-state heat transfer module. The thermal conductivity results of COMSOL simulations were compared with the experiments and other theoretical models to verify the reliability of the model. The model was used to evaluate the effect of porosity, pore size distribution and the concrete matrix’s thermal conductivity on the thermal conductivity of NAAC; these are hard to measure when only using laboratory experiments. The results show that with the increase in curing temperature, the porosity of NAAC increases, and the number and volume proportion of macropores increase. The numerical results suggest that the error between the COMSOL simulations and the experiments was less than 10% under different porosities, which is smaller than other models and has strong reliability. The prediction accuracy of this model increases with the increase in NAAC porosity. The steady thermal conductivity of NAAC is less sensitive to the distribution and dispersion of pore size in a given porosity. With the increase in porosity, the thermal conductivity of NAAC is linearly negatively correlated with that of the concrete matrix, and the correlation is close to 1.

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