Improved mechanical properties and piezoresistive sensitivity evaluation of MWCNTs reinforced cement mortars

Jeevanagoudar, Yashavant V; Krishna, R. Hari; Gowda, Raje; Preetham, R.; Prabhakara, R.

doi:10.1016/j.conbuildmat.2017.03.139

Cited by 30 publications

(11 citation statements)

References 25 publications

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“…When preparing mortar, the material that can enhance the bond property of the interface between mortar layers is added. It is also possible to add a layer of material with good bonding strength to the mortar material between the mortar layers [ 65 , 66 , 67 , 68 , 69 ], or use some nanomaterials to improve the bonding performance between the fibers and the mortar matrix [ 70 , 71 , 72 , 73 , 74 , 75 , 76 ]. In addition, the chemical modification of polymer fibers can be used to improve the construction process and increase the performance of printing equipment, so that the fiber can penetrate the interface between mortar layers and participate in the bonding force between mortar layers [ 77 , 78 , 79 , 80 ].…”

Section: Influence Of Fiber On Interlaminar Bonding Strengthmentioning

confidence: 99%

Properties of 3D-Printed Polymer Fiber-Reinforced Mortars: A Review

Liu

2022

Polymers

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The engineering applications and related research of fiber-reinforced cement and geopolymer mortar composites are becoming more and more extensive. These reinforced fibers include not only traditional steel fibers and carbon fibers, but also synthetic polymer fibers and natural polymer fibers. Polymer fiber has good mechanical properties, good bonding performance with cement and geopolymer mortars, and excellent performance of cracking resistance and reinforcement. In this paper, representative organic synthetic polymer fibers, such as polypropylene, polyethylene and polyvinyl alcohol, are selected to explore their effects on the flow properties, thixotropic properties and printing time interval of fresh 3D-printed cement and geopolymer mortars. At the same time, the influence of mechanical properties, such as the compressive strength, flexural strength and interlaminar bonding strength of 3D-printed cement and geopolymer mortars after hardening, is also analyzed. Finally, the effect of polymer fiber on the anisotropy of 3D-printed mortars is summarized briefly. The existing problems of 3D-printed cement and polymer mortars are summarized, and the development trend of polymer fiber reinforced 3D-printed mortars is prospected.

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Section: Influence Of Fiber On Interlaminar Bonding Strengthmentioning

confidence: 99%

Properties of 3D-Printed Polymer Fiber-Reinforced Mortars: A Review

Liu

2022

Polymers

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“…In this work, datasets represent the collection of experimental data given in the literature [ 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 ]. Experimental investigations were chosen according to the content of the mixture, type of the nanofiller, and fabrication and testing procedures.…”

Section: Prediction Of Properties Of Self-sensing Concrete Using Annsmentioning

confidence: 99%

“…The data presented in this study are openly available in reference number [ 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , 102 , 103 , 104 , 105 , 106 , 107 , 108 , 109 , 110 , 111 ].…”

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confidence: 99%

Application of Artificial Neural Networks for Prediction of Mechanical Properties of CNT/CNF Reinforced Concrete

Kekez

Kubica

2021

Materials

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Prominence of concrete is characterized by its high mechanical properties and durability, combined with multifunctionality and aesthetic appeal. Development of alternative eco-friendly or multipurpose materials has conditioned improvements in concrete mix design to optimize concrete production speed and price, as well as carbon footprint. Artificial neural networks represent a new and efficient tool in achieving optimal concrete mixtures according to its intended function. This paper addresses concrete mix design and the application of artificial neural networks (ANNs) for self-sensing concrete. The authors review concrete mix design methods and the development of ANNs for prediction of properties for various types of concrete. Furthermore, the authors present developments and applications of ANNs for prediction of compressive strength and flexural strength of carbon nanotubes/carbon nanofibers (CNT/CNF) reinforced concrete using experimental results for the learning process. The goal is to bring the ANN approach closer to a variety of concrete researchers and possibly propose the implementation of ANNs in the civil engineering practice.

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“…found that the maximum Young’s modulus of MWCNTs can reach 1 TPa, which have great stiffness, strength, and aspect ratios and are a good reinforcing material in mechanical properties. 12 According to research by Shi et al, 13 MWCNTs are a nanostructured fiber material with excellent properties and their dispersion degree is a decisive factor affecting the properties of composite materials. Long et al found that GO can promote hydration of cement, refine the pore structure, reduce the pore content and improve the density of cement slurry.…”

Section: Introductionmentioning

confidence: 99%

Study on the Mechanics and Pore Characteristics of Coal Seam Drilling Sealing Materials Based on Nanomaterial Optimization

Yu¹,

Xie

2022

ACS Omega

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In order to modify and optimize the performance of cement-based sealing materials and improve the gas drainage rate of boreholes. In this paper, nanosilica (NS), multiwalled carbon nanotubes (MWCNT), and graphene oxide (GO) were used to modify cement and optimize the pore structure. Uniaxial compression tests, X-ray diffraction (XRD), nuclear magnetic resonance (NMR), and combined fractal theory were used to analyze the mechanics and pore characteristics. The results show that the synergy of the three nanomaterials promotes the generation of hydration products such as calcium silicate hydrate (C–S–H) and ettringite (AFt), improves the total pore fractal dimension ( D w ) and seepage pore fractal dimension ( D s ), and optimizes the microscopic pore structure. However, when the content of NS increases from 2 to 4 wt %, the improvement in the mechanical properties is obviously weakened. The best ratio is where the SiO 2 content is 2 wt %, the MWCNT content is 0.1 wt %, and the GO content is 0.03 wt %. Compared with pure cement, the fractal dimension increases significantly, the mechanical properties are increased by 24.7%, and the total porosity is reduced by 23.9%. This paper is of great significance for improving the efficiency of gas mining.

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Improved mechanical properties and piezoresistive sensitivity evaluation of MWCNTs reinforced cement mortars

Cited by 30 publications

References 25 publications

Properties of 3D-Printed Polymer Fiber-Reinforced Mortars: A Review

Properties of 3D-Printed Polymer Fiber-Reinforced Mortars: A Review

Application of Artificial Neural Networks for Prediction of Mechanical Properties of CNT/CNF Reinforced Concrete

Study on the Mechanics and Pore Characteristics of Coal Seam Drilling Sealing Materials Based on Nanomaterial Optimization

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