Effect of mixing methods on the electrical properties of cementitious composites incorporating different carbon-based materials

Al-Dahawi, Ali; Öztürk, Oğuzhan; Emami, Farhad; Yıldırım, Gürkan; Şahmaran, Mustafa

doi:10.1016/j.conbuildmat.2015.12.072

Cited by 188 publications

(67 citation statements)

References 26 publications

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“…e uniform dispersion of MWCNTs without agglomerations is critical for specimen's mechanical properties and electrical conductivity by forming continuous conductive network [10,24]. In this study, PVP (PVP to MWCNT ratio of 0.8) was first added into the distilled water and then stirred using a magnetism stirrer until fully dissolved.…”

Section: Preparation Of Ecc Specimenmentioning

confidence: 99%

“…Currently, carbon nanofibres (CNFs), carbon nanotubes (CNTs), and graphite nanoplatelets (GNPs) are incorporated into cementitious materials to produce intrinsic self-sensing cementitious materials to develop self-sensing cement composites. Currently, most studies focus on type and dosage of additives, mixing method, and selfsensing ability of materials or structures [1][2][3][4][5][6][7][8][9][10]. Studies show that the resistivity and piezoresistivity of the CNTcement composite depend on the conductivity network in the composite.…”

Section: Introductionmentioning

confidence: 99%

“…In order to achieve improved mechanical and electrical properties, the CNTs should be dispersed effectively in the cement paste. Al-Dahawi et al [10] investigated the effect of different dispersion methods on the electrical resistivity and found that mechanical mixing with shear effect was very influential in dispersing CNTs. Currently, most studies used cement.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mechanical and Self-Sensing Properties of Multiwalled Carbon Nanotube-Reinforced ECCs

Liu¹,

Liu²,

et al. 2019

Advances in Materials Science and Engineering

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is paper investigates the effect of type and dosage of multiwalled carbon nanotubes (MWCNTs) on the mechanical and selfsensing properties of engineered cementitious composites (ECCs). Two types of MWCNTs (MWCNTa and MWCNTb) were employed. e tensile and flexural strengths of CNT-reinforced ECCs were improved compared with normal ECCs, while the ultimate tensile strain and midspan deflection were reduced. Compared with the dosage of MWCNTs, the type had less effect on these properties. e percolation threshold was around 0.3 wt.%. ECCs containing MWCNTs had good self-sensing ability under different loading conditions. When the midspan deflection increased from 0.1 to 0.6 mm, the fractional change in resistivity reached 9%. e dosage of MWCNTs had a significant effect on the self-sensing ability. As the MWCNT content increased, the amplitude of fractional change in resistivity decreased.

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Section: Preparation Of Ecc Specimenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mechanical and Self-Sensing Properties of Multiwalled Carbon Nanotube-Reinforced ECCs

Liu¹,

Liu²,

et al. 2019

Advances in Materials Science and Engineering

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“…CNTs have extraordinary properties such as high strength and thermal and electrical conductivity [1][2][3][4]. These properties raised the interest of many concrete and cementitious composites researchers to incorporate the nanofilaments into cement pastes and mortars to develop their properties [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. However, up to date, it was certainly shown that findings reported in the literature were contradictory.…”

Section: Introductionmentioning

confidence: 99%

Effect of Nanotube Geometry on the Strength and Dispersion of CNT-Cement Composites

Mohsen

Taha

Taqa

et al. 2017

Journal of Nanomaterials

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This study investigated the effect of multiwalled carbon nanotubes' geometry on the dispersion and strength of cement composites. Mixes with CNTs contents ranging from 0.03 to 0.25% were prepared and tested using CNTs' diameters of 10-20, 20-30, and 30-50 nm and lengths of 0.5-2 and 10-30 m. The samples' microstructures were then examined using a scanning electron microscope. After that, Response Surface Methodologies techniques were implemented to determine the strength functions' response to the aspect ratio and weight fraction variables. The results showed that CNTs of smaller diameters and longer lengths resulted in the highest strength values in batches having CNT contents of up to 0.15%. At 0.25% CNTs, the results showed that those CNTs of shorter lengths attained higher strengths than those of longer ones. SEM images showed better dispersion properties at lower CNTs' contents regardless of their geometry. The analysis also indicated that short CNTs of 0.5-2 m length have better dispersion properties compared to long ones of 10-30 m length. The RSM model confirmed this finding. Furthermore, the model showed that the CNTs with the lowest aspect ratio of 83 and highest weight fraction of 0.25% provided the highest strength response among all batches.

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“…Three different mixing methods were considered in this study to fabricate GNP reinforced mortar specimens considering the findings and suggestions of the study conducted by Al-Dahawi et al [31]. In Method I, the GNP was measured and added to the total amount of mixing water containing superplasticizer.…”

Section: Mixing Proceduresmentioning

confidence: 99%

Self-sensing Cementitious Composites with Graphene Nanoplatelets

Jiang

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Traditional strategies in structural health monitoring of civil infrastructure systems involve a limited number of distributed sensors over a relatively large area. The high cost, low durability, and weak compatibility with host structure are among the challenges for conventional sensors. Cement-based self-sensing composites with intrinsic strain-and damage-sensing capabilities can be a more practical and sustainable alternative to monitor the health of concrete structures. Numerous research studies have been conducted to explore behavior of self-sensing cementitious composites with different functional fillers. Most of previous studies investigated the use of fillers such as carbon fiber (CF), carbon nanofiber (CNF), and carbon nanotubes (CNTs) in cement composites as a method to develop multifunctionality in the base material.More recently, graphene nanoplatelets (GNPs), which have very thin (several layer thickness of graphene sheet) but wide aspect ratio, are gaining traction in the graphene market due to their advantages such as ease of processing and excellent material properties at a very low cost.However, the understanding of behavior of cementitious composites with GNPs is still in its infancy. In addition, although a large number of efforts have been made to develop intrinsically self-sensing cementitious materials with different nano fillers, fewer efforts have been made to find simple, repeatable, and large-scale fabrication procedures of these multifunctional composites. Therefore, there is a need for further research on the practical and scalable fabrication methods for the development of cement-based self-sensing composites using GNPs.The objective of this study is to explore the development of self-sensing cementitious composites with GNPs using a simple fabrication method and investigate the piezoelectric characteristics of the developed composites. Systematic studies were conducted to determine the influence of GNP concentration ratio and mixing method on the electrical conductivity of GNPbased self-sensing cementitious composites. In particular, two fabrication methods that do not require any special treating procedure such as ultrasonication and covalent treatment were considered. For the detection of percolation threshold, which roughly represents the optimal quantity of the GNPs required achieving satisfactory self-sensing, the specimens with various GNP concentration were prepared. For measuring the electrical resistivity, four copper meshes were used as electrodes and embedded into the specimens immediately after casting. Cyclic compression tests were conducted to explore piezoresistive behavior of the specimens with 4 different GNP concentrations. To better assess the GNP dispersion at the specimens prepared using different mixing method, scanning electron microscopy images of the tested specimens were taken. Results revealed that the GNP-reinforced cementitious composites exhibit good piezoresistive behavior with high gage factors up to 125 under cyclic compressive loads when th...

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Effect of mixing methods on the electrical properties of cementitious composites incorporating different carbon-based materials

Cited by 188 publications

References 26 publications

Mechanical and Self-Sensing Properties of Multiwalled Carbon Nanotube-Reinforced ECCs

Mechanical and Self-Sensing Properties of Multiwalled Carbon Nanotube-Reinforced ECCs

Effect of Nanotube Geometry on the Strength and Dispersion of CNT-Cement Composites

Self-sensing Cementitious Composites with Graphene Nanoplatelets

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