A self-sensing and self-heating planar braided composite for smart civil infrastructures reinforcement

Abedi, Mohammadmahdi; Kiran Sanivada, Usha; Ali Mirian, Seyed; Hassanshahi, Omid; Al-Jabri, Khalifa; Gomes Correia, António; Lourenço, Paulo B.; Fangueiro, Raul

doi:10.1016/j.conbuildmat.2023.131617

Cited by 17 publications

(13 citation statements)

References 128 publications

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“…For this analysis, the samples were finely ground and sieved to eliminate any sand particles. The x-ray powder diffraction was performed using CuKα (λ = 0.154 nm) radiation within an angular range spanning from 5 to 80 • , with a scanning speed of 3 • min −1 [33].…”

Section: Flexural Testmentioning

confidence: 99%

“…The convergence of nanotechnology and concrete science has given rise to a groundbreaking era in construction materials, where self-sensing and self-heating capabilities are seamlessly embedded into the electrical conductive concrete matrix [5,[33][34][35]. Self-sensing concrete involves the incorporation of conductive fillers such as carbon nanomaterials (CNMs) and microfibres including steel and carbon fibres, forming a conductive network that can detect variations in strain, stress, or other structural parameters within the concrete [1,13,[36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

“…Simultaneously, the inclusion of conductive fillers unlocks the potential for self-heating, where controlled electrical currents can be applied to induce localized heat within the concrete matrix [46]. This feature holds promise for applications ranging from de-icing and self-healing to energy-efficient environmental control within structures [33,34]. In light of earlier research showcasing the restricted effectiveness of electrically conductive cement pastes and mortars in structural contexts due to inherent issues like diminished strength and inadequate volume stability, there is an emerging inclination to enhance the physical characteristics of structural materials through the integration of fibrereinforced concrete [13].…”

Section: Introductionmentioning

confidence: 99%

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The pioneer of intelligent and sustainable construction in tunnel shotcrete applications: a comprehensive experimental and numerical study on a self-sensing and self-heating green cement-based composite

Abedi,

Gulisano,

Han

et al. 2024

Meas. Sci. Technol.

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In this study, a self-sensing and self-heating natural fibre-reinforced cementitious composite for the shotcrete technique was developed using Kenaf fibres. For this purpose, a series of Kenaf fibre concentrations were subjected to initial chemical treatment, followed by integration into the cement-based composite containing hybrid carbon nanotubes (CNT) and graphene nanoplatelets (GNP). The investigation encompassed an examination of mechanical, microstructural, sensing, and joule heating performances of the environmentally friendly shotcrete mixture, with subsequent comparisons drawn against a counterpart blend featuring a conventionally synthesized polypropylene (PP) fibre. Following the experimental phase, a comprehensive 3D nonlinear finite difference (3D NLFD) model of an urban twin road tunnel, completed with all relevant components, was meticulously formulated using the FLAC3D (fast lagrangian analysis of continua in 3 dimensions) code. This model was subjected to rigorous validation procedures. The performances of this green shotcrete mixture as the lining of the inner shell of the tunnel were assessed comparatively using this 3D numerical model under static and dynamic loading. The twin tunnel was subjected to a harmonic seismic load as a dynamic load with a duration of 15 s. The laboratory findings showed a reduction in the composite sensing and heating potentials in both cases of Kenaf and PP fibre reinforcement. Incorporating a specific quantity of fibre yields a substantial enhancement in both the mechanical characteristics and microstructural attributes of the composite. An analysis of digital image correlation demonstrated that Kenaf fibres were highly effective in controlling cracks in cement-based composites. Furthermore, based on the static and dynamic 3DNLFD analysis, this green cement-based composite demonstrated its potential for shotcrete applications as the lining of the inner shell of the tunnel. This study opens an appropriate perspective on the extensive and competent contribution of natural fibres for multifunctional sustainable, reliable and affordable cement-based composite developments for today’s world.

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Section: Flexural Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The pioneer of intelligent and sustainable construction in tunnel shotcrete applications: a comprehensive experimental and numerical study on a self-sensing and self-heating green cement-based composite

Abedi,

Gulisano,

Han

et al. 2024

Meas. Sci. Technol.

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“…Durability is one limitation: Smart geosynthetics rely on the integration of electronic components, such as sensors and communication devices, into the geosynthetic material [239]. These electronic components may be prone to environmental factors, such as moisture, UV radiation, temperature variations, and mechanical stresses.…”

Section: Smart Geosynthetics Limitationsmentioning

confidence: 99%

Smart Geosynthetics and Prospects for Civil Infrastructure Monitoring: A Comprehensive and Critical Review

et al. 2023

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Civil infrastructure monitoring with the aim of early damage detection and acquiring the data required for urban management not only prevents sudden infrastructure collapse and increases service life and sustainability but also facilitates the management of smart cities including smart transportation sectors. In this context, smart geosynthetics can act as vital arteries for extracting and transmitting information about the states of the strain, stress, damage, deformation, and temperature of the systems into which they are incorporated in addition to their traditional infrastructural roles. This paper reviews the wide range of technologies, manufacturing techniques and processes, materials, and methods that have been used to date to develop smart geosynthetics to provide rational arguments on the current trends and utilise the operational trends as a guide for predicting what can be focused on in future researches. The various multifunctional geosynthetic applications and future challenges, as well as operational solutions, are also discussed and propounded to pave the way for developing applicable smart geosynthetics. This critical review will provide insight into the development of new smart geosynthetics with the contribution to civil engineering and construction industries.

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“…Composite materials are often used as major components of supporting structure owing to their high strength, high modulus, and good fatigue resistance, and they are widely applied in automotive manufacturing [1][2][3], aerospace [4][5][6], infrastructure [7][8][9][10] and other various fields. However, due to the complexity and instability of the manufacturing process of composite materials, as well as the influence of the environment during the service life, various types of defects may arise, such as delamination, porosity, and fiber wrinkles and so on [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Detection of flat-bottom holes in composite materials using multi-dimensional complementary ensemble empirical mode decomposition algorithm

Zhang,

Li,

Wang

et al. 2023

J. Inst.

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Due to high-temperature resistance, high strength, and excellent fatigue resistance, composite materials are widely used in automotive manufacturing, aerospace, infrastructure and other fields. Consequently, the demand for defect detection of composite materials is also increasing. As a non-destructive testing technique, the active infrared thermography, which can achieve full-field defect detection, is suitable for defect detection of composite materials. However, this method is susceptible to noises caused by the environment and heating sources. In order to solve the problem of the defect signal being submerged by these noises, a multi-dimensional complementary ensemble empirical mode decomposition (MCEEMD) algorithm is introduced in this paper. This method can decompose the signal into the low-frequency background noise, the high-frequency heating noise, and useful defect signals, and these noises can be easily removed to improve the contrast to noise ratio (CNR) of defect images. Based on this proposed method, a defect detection experiment on the carbon fiber reinforced plastic (CFRP) is performed in this paper, and experimental results show that the method can effectively remove environmental noise and heating noise, and it can detect 11 out of 12 defects on the CFRP sample with an average CNR of 9.107. Compared with the traditional differential absolute contrast method, this method can detect one additional small defect with the aspect ratio of 1.67 and one deep defect with a depth of 2 mm.

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A self-sensing and self-heating planar braided composite for smart civil infrastructures reinforcement

Cited by 17 publications

References 128 publications

The pioneer of intelligent and sustainable construction in tunnel shotcrete applications: a comprehensive experimental and numerical study on a self-sensing and self-heating green cement-based composite

The pioneer of intelligent and sustainable construction in tunnel shotcrete applications: a comprehensive experimental and numerical study on a self-sensing and self-heating green cement-based composite

Smart Geosynthetics and Prospects for Civil Infrastructure Monitoring: A Comprehensive and Critical Review

Detection of flat-bottom holes in composite materials using multi-dimensional complementary ensemble empirical mode decomposition algorithm

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