Evaluation of elastic modulus of cement paste corroded in bring solution with advanced homogenization method

Li, Yue; Wang, Peng; Wang, Zigeng

doi:10.1016/j.conbuildmat.2017.09.133

Cited by 25 publications

(8 citation statements)

References 29 publications

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“…Through the results of these studies (Eltayeb et al 2020;Li et al 2017;Lura et al 2003;Rasa et al 2009;Zhang and Wang 2016), and there's…”

Section: Design Of Structurementioning

confidence: 97%

Design of High Strength and Lightweight Construction Composites Using Advanced Porous and Tough Cementitious Materials

Guo¹,

Liu²,

Xu³

et al. 2021

ACT

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High-strength and lightweight are two of the most important parameters for composites in the construction field. Here, we developed a novel foam concrete structure with sandwich porous structure by using in-situ polymerized polyacrylamide and ultra-stable foam, which can obtain higher mechanical strength in comparison to the normal porous concrete with the same density. The ratio of stiffness to weight was maximized to achieve the optimal sandwich porous structure size. The SEM images showed that the interface bond between the foam concrete and the polymer modified cement paste was tight and robust. The flexural strength of the novel structure was 65.6% higher than that of the foamed concrete at the same density. The series model was established to calculate the composite thermal conductivity of the novel foam concrete structure, indicating that the heat insulation was slightly improved compared with the normal foam concrete. Moreover, water resistance displayed a slight increase by constructing this sandwich porous structure. Hopefully, the novel composite with sandwich porous structure can put a new way for designing the lightweight and high strength insulation thermal structure.

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“…Through the results of these studies (Eltayeb et al 2020;Li et al 2017;Lura et al 2003;Rasa et al 2009;Zhang and Wang 2016), and there's…”

Section: Design Of Structurementioning

confidence: 97%

Design of High Strength and Lightweight Construction Composites Using Advanced Porous and Tough Cementitious Materials

Guo¹,

Liu²,

Xu³

et al. 2021

ACT

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“…When the cement grains encounter the "wall" of the aggregate, a region of higher porosity near the aggregate surface will appear, due to the "packing" constraints imposed by the aggregate surface (Li et al 2017). In this paper, the thickness of the ITZ was determined by analyzing the porosity of the ITZ in the BSE image.…”

Section: Itz Thickness Of Pumping Concretementioning

confidence: 99%

“…Among them, the volume ratios of the unhydrated cement particles and pore were directly calculated by binarization analysis of the BSE image. After removing the corresponding element content of the unhydrated cement particles, the molecular ratios of the other four components were calculated by establishing a linear equation system with four unknowns (Li et al 2017), as shown in Eq. (6).…”

Section: Compositions Analysismentioning

confidence: 99%

Experimental-Computational Investigation of Elastic Modulus of Ultra-High-Rise Pumping Concrete

Hao

Wang

et al. 2020

ACT

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Based on the ultra-high-rise pumping concrete engineering test with pumping height of 407 m and maximum pumping pressure of 19.3 MPa, the variation of elastic modulus of the pumping concrete was analyzed by experiments and computational method. Firstly, the back scattered electron (BSE) image binarization method was used to study the effect of pumping on the composition and pore distribution of the concrete. The effects of the pumping process on the elastic modulus of the paste and interface transition zone (ITZ) were quantitatively evaluated by x-ray diffraction (XRD), back scattered electron energy dispersive spectroscopy (BSE-EDS) and homogenization method, and verified by the test results of nanoindentation. The results showed that the porosity of the paste after the ultra-high-rise pumping decreased by 7.27%, the hydration degree of the cement increased by 6.51%, and the elastic modulus of the paste increased by 3.1 GPa. For the ITZ of the sand, the porosity decreased by 5.3 μm, the average porosity decreased by 15.78%, and the elastic modulus increased by 7.7 GPa. For the ITZ of the gravel, the thickness decreased by 6.91 μm, the average porosity decreased by 16.34%, and the elastic modulus increased by 10.2 GPa. Therefore, the effect of the ultra-high-rise pumping on the ITZ was significantly larger than that of the paste in the concrete. Afterward, the computational method was proposed as the combination of the homogenization method and the Lu and Torquato model. As the result, the elastic modulus of concrete after ultra-high-rise pumping can be precisely predicted on the micro-meso-macro scale due to the promising agreement between the experimental measurements and the numerical results.

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“…It is a method that is suitable for fast and precise characterization of construction materials as concrete, metal alloys, coatings, and composites reinforced with micro-and nanomaterials [3,6,7,9,13,15,16], being one of the few techniques that can directly assess the mechanical properties at micro-and nano-level by a single experiment [6,17]. Nanomechanical properties, and especially reduced Elastic modulus (E r ), are involved in materials design and various set-ups [18,19]. These applications are very sensible in regards to the applied loads and are closely related to human and environmental safety.…”

Section: Introductionmentioning

confidence: 99%

Testing Novel Portland Cement Formulations with Carbon Nanotubes and Intrinsic Properties Revelation: Nanoindentation Analysis with Machine Learning on Microstructure Identification

2020

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Nanoindentation was utilized as a non-destructive technique to identify Portland Cement hydration phases. Artificial Intelligence (AI) and semi-supervised Machine Learning (ML) were used for knowledge gain on the effect of carbon nanotubes to nanomechanics in novel cement formulations. Data labelling is performed with unsupervised ML with k-means clustering. Supervised ML classification is used in order to predict the hydration products composition and 97.6% accuracy was achieved. Analysis included multiple nanoindentation raw data variables, and required less time to execute than conventional single component probability density analysis (PDA). Also, PDA was less informative than ML regarding information exchange and re-usability of input in design predictions. In principle, ML is the appropriate science for predictive modeling, such as cement phase identification and facilitates the acquisition of precise results. This study introduces unbiased structure-property relations with ML to monitor cement durability based on cement phases nanomechanics compared to PDA, which offers a solution based on local optima of a multidimensional space solution. Evaluation of nanomaterials inclusion in composite reinforcement using semi-supervised ML was proved feasible. This methodology is expected to contribute to design informatics due to the high prediction metrics, which holds promise for the transfer learning potential of these models for studying other novel cement formulations.

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Evaluation of elastic modulus of cement paste corroded in bring solution with advanced homogenization method

Cited by 25 publications

References 29 publications

Design of High Strength and Lightweight Construction Composites Using Advanced Porous and Tough Cementitious Materials

Design of High Strength and Lightweight Construction Composites Using Advanced Porous and Tough Cementitious Materials

Experimental-Computational Investigation of Elastic Modulus of Ultra-High-Rise Pumping Concrete

Testing Novel Portland Cement Formulations with Carbon Nanotubes and Intrinsic Properties Revelation: Nanoindentation Analysis with Machine Learning on Microstructure Identification

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