Deformation adjustment of concrete beams laminated with carbon fiber mats

Zhu, Shengyang; Zhuo-qiu, LI; Xian-hui, Song; Chung, D.D.L.

doi:10.1016/j.conbuildmat.2005.12.002

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…However, it is extremely difficult to exactly monitor the dangerous strain areas and the damage areas of structures with traditional technology methods, which only can be used to monitor finite points of structures. Recently, Zhuoqiu Li's team has developed a new type strain sensor named smart layer made of polymer-matrix composites with short carbon fiber mats [1,2,3]. Smart layer is developed with the aim of global health monitoring.…”

Section: Introductionmentioning

confidence: 99%

Study on Electrical Resistance Tomography Simulation of Carbon Fiber Smart Layers on Two-Dimensional Curved Surface

Zhu

Zhang

2011

AMR

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Based on the piezoresistive function character and the conductivity of carbon fiber smart layer (CFSL), a novel electrical resistance tomography (ERT) system of spherical and cylindrical CFSL has been developed for global health monitoring. Based on the background of the third generation nuclear containment vessel, CFSL is stuck on the surface of the structure, and the effectiveness of the ERT system is verified by virtual experiment. The image reconstruction results show that CFSL on two-dimensional curved surface has good sensing characteristics in the complex strain state. Compared with structural volumetric strain in the monitoring area, it indicates that the high electrical resistance of CFSL is distributed in the high strain area of structures, and the low electrical resistance of CFSL is just distributed in the low strain area of structures. Therefore the resistivity’s distribution of CFSL can reflect qualitatively the structural volumetric strain field.

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Section: Introductionmentioning

confidence: 99%

Study on Electrical Resistance Tomography Simulation of Carbon Fiber Smart Layers on Two-Dimensional Curved Surface

Zhu

Zhang

2011

AMR

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“…e carbon fiberreinforced concrete decreases the drying shrinkage and increases the flexural toughness [10,11]. e carbon fiber increases the flexural strength of concrete because it increases the ability to sense its own strain, damage, and temperature [12]. e loading capacity is increased when the steel fiber is used as an additive to the lightweight concretes.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, it has been decreasing the crack width of concrete [13,14]. Due to the advantageous properties, fiber composites have been used in concrete structures [9][10][11][12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Strength Properties of Carbon Fiber‐Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine

Tanyıldızı

2018

Advances in Civil Engineering

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e artificial neural network and support vector machine were used to estimate the compressive strength and flexural strength of carbon fiber-reinforced lightweight concrete with the silica fume exposed to the high temperature. Cement was replaced with three percentages of silica fumes (0%, 10%, and 20%). e carbon fibers were used in four different proportions (0, 2, 4, and 8 kg/m 3 ). e specimens of each concrete mixture were heated at 20°C, 400°C, 600°C, and 800°C. After this process, the specimens were subjected to the strength tests. e amount of cement, the amount of silica fumes, the amount of carbon fiber, the amount of aggregates, and temperature were selected as the input variables for the prediction models. e compressive and flexural strengths of the lightweight concrete were determined as the output variables. e model results were compared with the experimental results. e best results were achieved from the artificial neural network model. e accuracy of the artificial neural network model was found at 99.02% and 96.80%.

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Electrical resistance heating for deicing and snow melting applications: Experimental study

Mohammed

Ozgur

Sevkat

2019

Cold Regions Science and Technology

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Deformation adjustment of concrete beams laminated with carbon fiber mats

Cited by 7 publications

References 15 publications

Study on Electrical Resistance Tomography Simulation of Carbon Fiber Smart Layers on Two-Dimensional Curved Surface

Study on Electrical Resistance Tomography Simulation of Carbon Fiber Smart Layers on Two-Dimensional Curved Surface

Prediction of the Strength Properties of Carbon Fiber‐Reinforced Lightweight Concrete Exposed to the High Temperature Using Artificial Neural Network and Support Vector Machine

Electrical resistance heating for deicing and snow melting applications: Experimental study

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