scholarly journals Experimental Study on the Permeation and Migration Rules of Pressurized Water in Textile-Reinforced Concrete (TRC)

Materials ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 6512
Author(s):  
Boxin Wang ◽  
Jiaqi Liu ◽  
Qing Wang
Keyword(s):  
Reinforced Concrete ◽  
Water Pressure ◽  
Concrete Specimen ◽  
Textile Reinforced Concrete ◽  
Pressurized Water ◽  
Slit Flow ◽  
Concrete Permeability ◽  
External Water ◽  
And Migration ◽  
Experimental Values

As a new type of repairing and reinforcing material, textile-reinforced concrete (TRC) is often used to improve mechanical properties and durability of offshore, port, and hydraulic structures in the corrosive environment. In order to investigate how to quantify the permeability performance of TRC under external pressurized water, standard concrete permeability tests, nuclear magnetic resonance (NMR) tests, and scanning electron microscope (SEM) tests were conducted. These tests considered the effects of fiber grid size, Tex content, and water–cement ratio on the impermeability of TRC. Experimental results show that water gathers around the fiber bundles and migrates upwards along the longitudinal fiber under external water pressure and seeps out from the upper surface of the concrete specimen. Furthermore, based on the concentric annular slit flow theory and hydropower similarity principle, this study established a formula for the permeability of TRC and the calculated values are in good agreement with the experimental values.

Experimental Study on Electrical Conductivity of Carbon Fiber Reinforced Concrete Underwater

2012 ◽  
Vol 461 ◽  
pp. 246-249 ◽  
Author(s):  
You Zhi Wang ◽  
Yong Zhi Xu ◽  
Ying Sun
Keyword(s):  
Electrical Conductivity ◽  
Reinforced Concrete ◽  
Carbon Fiber ◽  
Water Pressure ◽  
Fiber Reinforced Concrete ◽  
Fiber Reinforced ◽  
Defect Area ◽  
Electrode Method ◽  
Carbon Fiber Reinforced ◽  
External Water

This paper studied the effect of carbon fiber dosage, concrete age, size of defect, and eater pressure on the electrical conductivity of carbon fiber reinforced concrete (CFRC). Insulating films were buried in the concrete to simulate inside cracking. The carbon fiber was added as the conductive material of the concrete. The electrical conductivity was measured with a two-electrode method with a DC power. The test results show that concrete age, defect area and the external water pressure are the main factors influencing the electrical conductivity of CFRC, while the number and location of defects have less effect.

An Investigation on Flexural Behavior of Reinforced Concrete Beam with Textile

2011 ◽  
Vol 243-249 ◽  
pp. 1008-1012 ◽  
Author(s):  
Shi Ping Yin ◽  
Shi Lang Xu
Keyword(s):  
Reinforced Concrete ◽  
Reinforced Concrete Beam ◽  
Flexural Behavior ◽  
Textile Reinforced Concrete ◽  
Dead Weight ◽  
Steel Reinforced Concrete ◽  
Steel Bar ◽  
Load Carrying ◽  
Analytical Formulae ◽  
Experimental Values

The textile reinforced concrete (TRC) member has no distinct failure symptom when it arrives at its ultimate load. At the same time, ordinary steel-reinforced concrete (RC) elements have large dead weight and can not efficiently restrict the expansion of the main crack of structures. In order to overcome the above disadvantages, a new architecture reinforced with a combination of the textile and steel bar was presented in this study. The analytical formulae of the proper beam using this new structure were derived, including the load-carrying capacity at different stages and load vs. mid- span deflection relationship during the entire loading process. The theoretical values were compared with the experimental values. It is shown that the theoretical values coincide with the experimental values well and the feasibility of the formulae is verified.

scholarly journals Experimental Study on the Flexural Behavior of Steel-Textile-Reinforced Concrete: Various Textile Reinforcement Details

2020 ◽  
Vol 10 (4) ◽  
pp. 1425 ◽  
Author(s):  
Jungbhin You ◽  
Jongho Park ◽  
Sun-Kyu Park ◽  
Sungnam Hong
Keyword(s):  
Experimental Study ◽  
Reinforced Concrete ◽  
Concrete Specimen ◽  
Flexural Behavior ◽  
Textile Reinforced Concrete ◽  
Flexural Performance

In this study, one reinforced concrete specimen and six textile reinforced concrete (TRC) specimens were produced to analyze the flexural behavior of steel-textile-reinforced concrete. The TRC specimen was manufactured using a total of four variables: textile reinforcement amount, textile reinforcement hook, textile mesh type, textile lay out form. Flexural performance increases with textile reinforcement amount, textile reinforcement hook type and textile reinforcement mesh type. The flexural performance was improved when physical hooks were used. Furthermore, textile reinforcement was verified as being effective at controlling the deflection.

scholarly journals Investigation on the Displacement Ductility Coefficient of Reinforced Concrete Columns Strengthened with Textile-Reinforced Concrete

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Boxue Wang ◽  
Shiping Yin ◽  
Ming Liu
Keyword(s):  
Neural Network ◽  
Reinforced Concrete ◽  
Concrete Columns ◽  
Textile Reinforced Concrete ◽  
Rc Columns ◽  
Displacement Ductility ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Input Variables ◽  
Experimental Values

To evaluate the seismic performance of reinforced concrete (RC) columns strengthened with textile-reinforced concrete (TRC), based on the ABAQUS numerical analysis results of 15 TRC-strengthened RC columns, the grey correlation theory was used to determine the input variables of the model, and the accuracy of the numerical simulation results is verified by some experiments. Then, according to FEM data, a neural network prediction model was established for the displacement ductility coefficients of TRC-strengthened columns, and a formula was proposed for calculating the displacement ductility coefficient. The results showed that the BP (backpropagation) neural network model had good rationality and accuracy and that the ductility coefficients of the strengthened columns calculated by the model agreed well with the experimental values. Therefore, the model can be applied for predicting the displacement ductility coefficients of TRC-strengthened columns and can be used as a reference for engineering design.

scholarly journals Analysis of Tunnel Water Inrush Considering the Influence of Surrounding Rock Permeability Coefficient by Excavation Disturbance and Ground Stress

2021 ◽  
Vol 11 (8) ◽  
pp. 3645
Author(s):  
Helin Fu ◽  
Pengtao An ◽  
Long Chen ◽  
Guowen Cheng ◽  
Jie Li ◽  
...  
Keyword(s):  
Permeability Coefficient ◽  
Water Pressure ◽  
Water Inrush ◽  
Surrounding Rock ◽  
Water Inflow ◽  
Calculation Error ◽  
External Water Pressure ◽  
Ground Stress ◽  
External Water ◽  
Inflow Prediction

Affected by the coupling of excavation disturbance and ground stress, the heterogeneity of surrounding rock is very common. Presently, treating the permeability coefficient as a fixed value will reduce the prediction accuracy of the water inflow and the external water pressure of the structure, leading to distortion of the prediction results. Aiming at this problem, this paper calculates and analyzes tunnel water inflow when considering the heterogeneity of permeability coefficient of surrounding rock using a theoretical analysis method, and compares with field data, and verifies the rationality of the formula. The research shows that, when the influence of excavation disturbance and ground stress on the permeability coefficient of surrounding rock is ignored, the calculated value of the external water force of the tunnel structure is too small, and the durability and stability of the tunnel are reduced, which is detrimental to the safety of the structure. Considering the heterogeneity of surrounding rock, the calculation error of water inflow can be reduced from 27.3% to 13.2%, which improves the accuracy of water inflow prediction to a certain extent.

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