Influence of water-to-binder ratio on the optimum percentage of nano-TiO2 addition in terms of compressive strength of mortars: A laboratory and virtual experimental study based on ANN model

Moro, Carlos; Fil, H. El; Francioso, Vito; Velay-Lizancos, Mirian

doi:10.1016/j.conbuildmat.2020.120960

Cited by 29 publications

(9 citation statements)

References 42 publications

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“…Addition of TiO2 nanoparticles leads to greater homogeneity, better compaction, reduction in the pore volume and the pore size of cementitious materials, which results in remarkable reduction in permeability [20,31,35,44,[56][57][58][59]. Titania nanoparticles has been also found to behave as an activator to accelerate pozzolanic reaction, to increase the rate of cement hydration, to increase the intensity of the heat peak, and to reduce the initial and final setting time [14,24,28,37,44,45,52,58,60,61]. The reduction in the setting time was found to be proportional to the content of the added nano-TiO2 [20,40,52,58].…”

Section: Influence Of Incorporation Of Nano-titania Into Cementitious Compositesmentioning

confidence: 99%

A review of the effect and optimization of use of nano-TiO2 in cementitious composites

Döndüren¹,

Al-Hagri²

2022

Res. Eng. Struct. Mat.

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There are some problems and weaknesses related to cement-based materials, such as their very low tensile strength, low chemical resistance and the huge contribution of cement production to industrial CO2 emissions. One possible method to reduce the impacts of such problems is the partial replacement of cement in cementitious materials with nano materials. This work provides a detailed review of incorporation of one of the most widely used nano materials, namely nano-titanium dioxide, and its effect on the properties of cementitious composites. Different properties have been considered in the current study, such as fresh properties, mechanical properties (compressive strength, split tensile strength and flexural strength), durability (permeability, ultrasonic pulse velocity (UPV), electrical resistivity, carbonation resistance, freeze and thaw resistance and sulfate attack resistance) and microstructural properties. This paper also investigates the optimum content of nano-TiO2 in cement-based materials. Moreover, the cost effectiveness of use on nano-titania in cementitious composites has been discussed. Nano titania reduces the workability and setting time of cement-based materials. It can be very effective in improving the mechanical properties, durability and microstructural properties of cementitious composites.

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Section: Influence Of Incorporation Of Nano-titania Into Cementitious Compositesmentioning

confidence: 99%

A review of the effect and optimization of use of nano-TiO2 in cementitious composites

Döndüren¹,

Al-Hagri²

2022

Res. Eng. Struct. Mat.

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“…(3) According to the distribution of similarity values of the target speaker and non-target speaker's voice samples, 1000 random numbers are generated respectively, with the restriction that the maximum value of the non-target speaker's random number is not greater than the minimum value of target speaker's voice sample similarity, and the minimum value of target speaker's random number is not less than the maximum value of non-target speaker's voice sample similarity. (6) The value is calculated according to formula (3)(4), where the value range of t is…”

Section: Experimental Process and Results Analysismentioning

confidence: 99%

Deep Learning-based Analysis of Voiceprint Data Mining

Tang¹

2022

JSER

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In the information age, the intelligent data mining method represented by deep learning is playing an important role in various fields at present. It is necessary to study how to efficiently use the intelligent data mining method to obtain valuable information from massive information. Open-set voiceprint recognition is realized by intelligent data mining technology. Therefore, it is of great practical significance to achieve rapid and accurate identification of the speaker's identity. Because the traditional voiceprint recognition method has insufficient ability to distinguish the speakers inside and outside the set, it often leads to a high false recognition rate. Mining parameters containing more speakers' personality characteristics and how to calculate the threshold become the bottleneck problems of open set voiceprint recognition. Therefore, this paper adopts the deep confidence network stacked by three layers of restricted Boltzmann machines as the deep acoustic feature extractor. The mel-frequency cepstral coefficients of 24-dimensional basic acoustic features are mapped to 256dimensional feature space, and the parameters of deep acoustic features containing more speaker's personality characteristics are obtained. Then, an open-set adaptive threshold calculation algorithm is obtained. In this paper, the similarity value of deep acoustic features is calculated by the Gaussian mixture model, and the maximum inter-class variance of the similarity value is calculated by the OTSU algorithm. When the inter-class variance is the maximum, the similarity value is the best threshold. The experimental test shows that the algorithm for calculating threshold based on deep learning proposed in this paper has a lower false rejection rate and lower false rejection rate.

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“…In this study, by combining XRD and TG analysis, it was found that nano-ZrO 2 is chemically inert. Secondly, concerning compressive strength, Moro et al [48] found that nano-TiO 2 was inert but affected the compressive strengths because the CH orientation degree decreased. Similarly, this study found that with a growing amount of nano-ZrO 2 , the interior CH orientation amount of the UHSPs decreased.…”

Section: Discussion: Comparison Of Nano-zro 2 and Other Common Nanomamentioning

confidence: 99%

Autogenous Shrinkage, Strength, and Hydration Heat of Ultra-High-Strength Paste Incorporating Nano-Zirconium Dioxide

2020

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Ultra-high-strength paste (UHSP) combined with nanomaterials has been extensively studied. However, the research on nano-ZrO2 is limited. In this study, UHSP with various nano-ZrO2 contents is analyzed. The motivation of this study is to clarify the effects of nano-ZrO2 on the hydration products, strength, autogenous shrinkage, and hydration heat of UHSPs. The water-to-binder ratio (w/b) of the specimens is 0.2. The nano-ZrO2 content is 0, 1.5, and 3 wt.%. The strength is measured at the age of 3, 7, and 28 days. The hydration heat is measured from the mixing stage to 3 days. The hydration products are analyzed by X-ray diffraction (XRD) and thermogravimetric analysis (TG). The autogenous shrinkage is measured from the mixing stage for 7 days using a new experimental device. The new experimental device can measure autogenous shrinkage, internal relative humidity, and internal temperature simultaneously. The following conclusions can be drawn based on the experimental studies: (1) Two stages were noticed in the autogenous shrinkage of UHSPs: a variable-temperature stage and a room-temperature stage. The cut-off point of these two stages occurred in roughly 1.5 days. Furthermore, in the room-temperature stage, there was a straight-line relationship between the autogenous shrinkage and internal relative humidity. (2) With the increase of the nano-ZrO2 amount, the compressive strength at 3 days, 7 days, and 4 weeks increased. (3) With the nano-ZrO2 increasing, the flow decreased. (4) With the nano-ZrO2 increasing, the hydration heat increased due to the physical nucleation effect of the nano-ZrO2. Furthermore, the nano-ZrO2 used in this study was chemically inert and did not take part in the cement hydration reaction based on the XRD, differential thermal, and TG data. This paper is of great significance for the development of high-strength cementitious materials doped with nano-ZrO2.

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Influence of water-to-binder ratio on the optimum percentage of nano-TiO2 addition in terms of compressive strength of mortars: A laboratory and virtual experimental study based on ANN model

Cited by 29 publications

References 42 publications

A review of the effect and optimization of use of nano-TiO2 in cementitious composites

A review of the effect and optimization of use of nano-TiO2 in cementitious composites

Deep Learning-based Analysis of Voiceprint Data Mining

Autogenous Shrinkage, Strength, and Hydration Heat of Ultra-High-Strength Paste Incorporating Nano-Zirconium Dioxide

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