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The effect of cations and metakaolin on chloride binding properties of mortars using simulated desalinated sea sand

With the scarcity of river sand resources, sea sand is also increasingly being used to prepare cementitious materials. Considering the threat of chloride salts still present in desalinated sea sand, this study investigates the effect of Na+, Mg2+, Ca2+ (contained on the surface of simulated desalinated sea sand) and metakaolin (MK) additions on the chloride binding properties of simulated desalinated sea sand mortar. The chloride binding capacity of the mortar and the hydration products of the mortar were analysed by chloride content measurement, X-ray diffraction, differential thermogravimetry, Fourier transform infrared spectroscopy and energy dispersive spectroscopy. The results show that Ca2+ and Mg2+ have a greater positive effect on improving the chloride binding capacity of mortar than Na+. This is because Ca2+ promotes the positive potential of the C–S–H gel in the mortar and Mg2+ facilitates the generation of a solid solution of Friedel’s salts and AFm in the mortar. The addition of MK in mortar improves the physical binding ability of the mortar to chloride ions. This improvement is primarily attributed to the increased production of C–S–H gel and C–A–S–H gel resulting from the addition of MK. This study is expected to provide theoretical support to facilitate the application of desalinated sea sand.

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Frost resistance prediction of recycled aggregate concrete based on supervised algorithms

The frost resistance of recycled aggregate concrete (RAC) is a crucial performance indicator in its engineering application. Considering the complexity of factors that affect the frost resistance of RAC, in this study five neural network algorithms were employed, back-propagation neural network, radial basis function network, convolutional neural network, support vector machine and random forest regressor, along with two optimisations methods, particle swarm optimisation-back-propagation (PSO-BPNN) and genetic algorithm-back-propagation to predict the frost resistance of RAC. A database was compiled from 616 mixes in the peer-reviewed literature, and eight variables affecting the freeze–thaw resistance of RAC were taken as inputs. The compressive strength, mass loss rate and relative dynamic elastic modulus after freeze–thaw cycles were taken as outputs. The results showed that the main factors affecting the freezing resistance of RAC were the number of freeze–thaw cycles, the replacement rate of recycled aggregates, crushing index and water–cement ratio. Among the seven algorithms, the PSO-BPNN model had the best comprehensive prediction performance, with R2 of predicted compressive strength reaching 0.9714. It provides a reference value for further research on RAC frost resistance.

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Salt scaling resistance of self-consolidating concrete containing pozzolanic-cements

Although numerous durability investigations on self-consolidating concrete (SCC) have urged partial replacement of cement with pozzolans, contradictory results exist regarding the salt scaling resistance of pozzolanic concrete. Hence, this study was carried out on the salt scaling resistance of binary, ternary and quaternary pozzolanic SCC utilising trass, pumice and silica fume pozzolans in nine mixtures along with two air-entrained ones. The binary, SF10, the majority of ternaries, SF10T10, SF10T20 and SF10P10, and the air-entrained, SF10A3% and SF10T20P20A3% mixtures showed acceptable resistance against salt scaling with scaling lower than 0.8 kg/m2, as opposed to the quaternary mixes. The effect of pozzolans on the salt scaling resistance of concrete is highly dependent on the silicon dioxide (SiO2) + aluminium oxide (Al2O3) + iron (III) oxide (Fe2O3) content of the pozzolan. Also, microstructural analysis through scanning electron microscopy reflected the presence of ettringite and Friedel’s salt from the scaled surface. Furthermore, except for compressive strength, the ternary and quaternary mixes, SF10T10P10, SF10T20P10, SF10T10P20 and SF10T20P20, performed generally better than the binary one in the rapid chloride penetration test, but they had similar pulse velocity, depth of penetration, water absorption and electrical resistivity.

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