Mechanical and piezoresistive properties of self-sensing smart concretes reinforced by carbon nanotubes

Parvaneh, Vali; Khiabani, Solmaz Hasanzadeh

doi:10.1080/15376494.2018.1432789

Cited by 31 publications

(13 citation statements)

References 12 publications

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“…Recently, several researchers [109,110,111,112,113,114,115,116,117,118,119,120,121,122,123] have reported the effects of CNTs on the electrical and mechanical properties of concrete samples. For instance, CNTs can decrease the formation and growth of micro-cracks in concrete.…”

Section: Nanomaterials In Cement-based Materialsmentioning

confidence: 99%

Recent Progress in Nanomaterials for Modern Concrete Infrastructure: Advantages and Challenges

et al. 2019

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Modern concrete infrastructure requires structural components with higher mechanical strength and greater durability. A solution is the addition of nanomaterials to cement-based materials, which can enhance their mechanical properties. Some such nanomaterials include nano-silica (nano-SiO2), nano-alumina (nano-Al2O3), nano-ferric oxide (nano-Fe2O3), nano-titanium oxide (nano-TiO2), carbon nanotubes (CNTs), graphene and graphene oxide. These nanomaterials can be added to cement with other reinforcement materials such as steel fibers, glass, rice hull powder and fly ash. Optimal dosages of these materials can improve the compressive, tensile and flexural strength of cement-based materials, as well as their water absorption and workability. The use of these nanomaterials can enhance the performance and life cycle of concrete infrastructures. This review presents recent researches about the main effects on performance of cement-based composites caused by the incorporation of nanomaterials. The nanomaterials could decrease the cement porosity, generating a denser interfacial transition zone. In addition, nanomaterials reinforced cement can allow the construction of high-strength concrete structures with greater durability, which will decrease the maintenance requirements or early replacement. Also, the incorporation of nano-TiO2 and CNTs in cementitious matrices can provide concrete structures with self-cleaning and self-sensing abilities. These advantages could help in the photocatalytic decomposition of pollutants and structural health monitoring of the concrete structures. The nanomaterials have a great potential for applications in smart infrastructure based on high-strength concrete structures.

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Section: Nanomaterials In Cement-based Materialsmentioning

confidence: 99%

Recent Progress in Nanomaterials for Modern Concrete Infrastructure: Advantages and Challenges

et al. 2019

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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 ].…”

mentioning

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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“…Danoglidis [ 38 ] developed multifunctional self-sensing cement mortar reinforced by multi-walled carbon nanotubes (MWCNT) and showed that the composites with 0.1 wt% MWCNTs give the highest fractional change in resistivity (10.6%) under external cyclic compressive loading. Parvaneh et al [ 39 ] found that with the increase of carbon nanotube content, the electrical resistance and compressive strength of carbon nanotube-reinforced concretes decreased and increased, respectively. Moreover, when the content was 1 wt%, the smart performance was the best and the compressive strength increased from 42.47 to 80.33 MPa.…”

Section: Introductionmentioning

confidence: 99%

Study on the Effect of Freeze–Thaw Action on the Electrical Conductivity and Sensing Properties of Graphene-Based Cement Composites

Chen

Jiang

et al. 2023

Materials

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Graphene can effectively improve the mechanical and electrical properties of cement-based materials due to its excellent tensile strength, thermal conductivity and electrical conductivity. In this paper, the effects of freeze–thaw on the conductivity and sensing properties of graphene-based cement materials were investigated. After the preparation of graphene-based cement materials, they were subjected to different times of freeze–thaw action. The experiments were designed to analyze the influence of freeze–thaw on the electrical conductivity, humidity sensitivity, thermosensitivity and pressure sensitivity of graphene-based cement composites. The results show that the influence of freeze–thaw on the electrical conductivity of graphene is mainly manifested in the influence on the resistivity and the extension of the polarization time, and the influence on the percolation transition zone is small. After freeze–thaw, the polarization time of the specimen decreases with the increase of the relative water content. The temperature has a great influence on the polarization effect of graphene-based cement composites and the composites with graphene content of the zone B still show satisfactory pressure-sensitive property after freeze–thaw.

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Mechanical and piezoresistive properties of self-sensing smart concretes reinforced by carbon nanotubes

Cited by 31 publications

References 12 publications

Recent Progress in Nanomaterials for Modern Concrete Infrastructure: Advantages and Challenges

Recent Progress in Nanomaterials for Modern Concrete Infrastructure: Advantages and Challenges

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

Study on the Effect of Freeze–Thaw Action on the Electrical Conductivity and Sensing Properties of Graphene-Based Cement Composites

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