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Enhanced lumped circuit model for smart nanocomposite cement-based sensors under dynamic compressive loading conditions

TLDR
In this paper, an electromechanical modeling of the Direct Current (DC) electrical resistance of CNT reinforced cement paste sensors based on a piezoelectric/piezoresistive lumped circuit is presented.
Abstract
Smart composite nanostructured materials represent one of the fastest-growing areas of interest among scientists in recent years and, in particular, carbon nanotube (CNT) cement-based composites are attracting more and more attention. These composites exhibit self-sensing capabilities providing measurable variations of their electrical properties under the application of mechanical deformations. Together with this exceptional property, the similarity and compatibility between these composites and structural concrete suggest the possibility of developing distributed embedded strain-sensing systems with substantial improvements in the cost-effectiveness in applications to large-scale concrete structures. In order to design and optimize CNT reinforced cement based dynamic sensors, it is fundamental to develop theoretical models capable of simulating the relationship between dynamic mechanical strains and the effective electrical conductivity. This paper presents an electromechanical modeling of the Direct Current (DC) electrical resistance of CNT reinforced cement paste sensors based on a piezoelectric/piezoresistive lumped circuit. The model represents an enhanced version and a generalization of another model previously proposed by the authors. Previously published experimental results have been used as validation benchmark. In particular, experimental tests concerning the characterization of the step response under unloaded conditions, steady state response under harmonic loadings and sweep analyses are considered. The results demonstrate that the newly proposed model is superior in comparison to the previous one in reproducing the dynamic response of the sensors when subjected to harmonic mechanical loads. Overall, an excellent agreement between theoretical predictions and experimental results is achieved.

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Journal ArticleDOI

Carbon nanotube (CNT) incorporated cementitious composites for functional construction materials: The state of the art

TL;DR: In this paper, the state-of-the-art studies on the fabrication technologies of CNT-incorporated cementitious composites and provides in-depth information on the functional characteristics of the composites.
Journal ArticleDOI

Self-sensing capabilities of cement-based sensor with layer-distributed conductive rubber fibres

TL;DR: In this paper, a novel cement-based sensor incorporating conductive rubber was explored, including its raw materials, manufacturing process, electrical conductivity, self-sensing efficiency, repeatability and compressive strength.
Journal ArticleDOI

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

TL;DR: This review presents recent researches about the main effects on performance of cement-based composites caused by the incorporation of nanomaterials, which have a great potential for applications in smart infrastructure based on high-strength concrete structures.
Journal ArticleDOI

Eshelby-Mori-Tanaka approach for post-buckling analysis of axially compressed functionally graded CNT/polymer composite cylindrical panels

TL;DR: In this paper, a detailed parametric analysis of the post-buckling behavior of functionally graded carbon nanotube reinforced curved panels under uniaxial compression is presented, in which the effects of filler content, fiber orientation, distribution along the thickness, and misalignment of fibers are investigated.
References
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Book

Nonlinear differential equations and dynamical systems

TL;DR: In this article, the Poincare-Bendixson theorem is applied to the analysis of two-dimensional linear systems with first integrals and integral manifolds, and the Lagrange standard form is used.
Journal ArticleDOI

A carbon nanotube strain sensor for structural health monitoring

TL;DR: In this paper, a biomimetic artificial neuron was developed by extending the length of the sensor, which is a long continuous strain sensor that has a low cost, is simple to install and is lightweight.
Journal ArticleDOI

Investigation on sensitivity of a polymer/carbon nanotube composite strain sensor

TL;DR: In this paper, an improved three-dimensional statistical resistor network model incorporating the tunneling effect between the neighbouring nanotubes, and a fiber reorientation model was used to understand the effects of processing parameters and material properties on sensor sensitivity in polymer/carbon nanotube composite sensors.
Journal ArticleDOI

Cements of yesterday and today concrete of tomorrow

TL;DR: In this paper, the authors proposed a new science of concrete, a science of admixtures and the use of sophisticated scientific apparatus to observe concrete microstructure and even nanostructure.
Journal ArticleDOI

Piezoresistive Strain Sensors Made from Carbon Nanotubes Based Polymer Nanocomposites

TL;DR: This article reviews the recent significant developments in the field of highly sensitive strain sensors made from CNT/polymer nanocomposites and focuses on the following two topics: electrical conductivity and piezoresistivity of CNT/.
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