Numerical Modeling of Tensile Behaviour of Textile-Reinforced Concrete Composite Using a Cracking Model for Cementitious Matrix: Effect of Material Parameters

2021 ◽  
pp. 783-792
Author(s):  
Manh Tien Tran ◽  
Xuan Hong Vu ◽  
Emmanuel Ferrier
2021 ◽  
Vol 28 (3) ◽  
pp. 88-102
Author(s):  
Assim Arif ◽  
Saad Raoof

Textile Reinforced Concrete (TRC) can be used as independent structural elements due to its high loading capacity and proper to product light weight and thin walled structural elements. In this study, the bending behavior of TRC plates that reinforced with dry carbon fiber textile and exposed to high temperatures was experimentally studied under 4-points bending loading. The examined parameters were; (a) number of textile fiber reinforcements layers 1, 2 and 3 layers; (b) level of high temperatures 20°C, 200°C, 300°C, and 400°C. Firstly, the mechanical properties of the cementitious matrix and the tensile properties of TRC coupons at each predefined temperature were evaluated. The results showed that the ultimate tensile stress of the TRC coupons did not affect up to 200°C, however, a significant reduction observed at 300°C and 400°C by 19% and 24% respectively. Regarding the compressive strength and flexural strength of the cementitious matrix, the degradation was not severe until 200°C, while it became critical at 400 °C (23% and 22% respectively). The result of the bending of TRC plates showed that doubling and tripling textile fiber reinforcements layers improved the flexural loading. In general, increasing the level of temperatures resulted in decrease in the flexural capacity of TRC plates. The highest decrease recorded for the specimen reinforced with 1-layer of carbon fiber textile subjected to 400 °C and was 33%.


Author(s):  
Sayyed Behzad Abdellahi ◽  
Sayyed Mahdi Hejazi ◽  
Hossein Hasani

Thermal behavior such as heat transfer is an important parameter for construction composites. Three-dimensional textile reinforced concrete (TRC) is one of the construction composites which is recently being used in the building industry. Therefore, in this study, the thermal behavior of three different TRC samples was investigated by a heat transfer test using an infrared method. The cementitious matrix was reinforced by 3D fabric with three different spacer yarn orientation angles. The cementitious matrix was fabricated by cement and waste stone powder. The TRC sample was put on the hot plate of the heat transfer apparatus and the temperature variations of the top surface of the sample were obtained. According to the test results, increasing the orientation angle of spacer yarns leads to a decrease in the thermal conductivity of the TRC sample and reduces heat transfer. On the other hand, a theoretical model was used to calculate the thermal conductivity and resistance coefficients of sandwich samples. Furthermore, a 3D finite element model was used to predict the heat transfer of TRC specimens. A unit cell of the TRC model was created in Abaqus software and finite element (FE) analysis was carried on a created model. Thermal conductivity and thermal resistance of samples according to FE results were calculated and compared with experimental results. FE results showed good agreement with the experimental data.


Author(s):  
Tran Manh Tien ◽  
Xuan Hong Vu ◽  
Emmanuel Ferrier ◽  
Pham Duc Tho ◽  
Bui Thi Loan

In comparison with fiber-reinforced polymer (FRP) composite, the textile-reinforced concrete (TRC) presents stability in mechanical performance at elevated temperatures thanks to a thermal protection layer by the cementitious matrix. This paper presents the experimental characterization and analytical modeling for fire performance of carbon TRC under the thermomechanical regime at constant tensile force. The carbon TRC is manufactured from the cementitious matrix with good thermal properties (refractory matrix) and the reinforcement of carbon textiles. In the experiment, the ultimate strength of the carbon TRC specimen was firstly identified from the direct tensile tests at ambient temperature. Afterwards, in the thermomechanical regime, the fire performance of carbon TRC specimens according to 5 loading levels ranging from 10% to 75% related to its ultimate strength was determined. As a result, the effect of crack appearance on this thermomechanical performance was highlighted and analyzed. For the analytical modeling, a model was calibrated with the experimental results to predict the fire performance of carbon TRC by taking into account the effect of crack width.


2011 ◽  
Vol 528 (3) ◽  
pp. 1727-1734 ◽  
Author(s):  
Flávio de Andrade Silva ◽  
Marko Butler ◽  
Viktor Mechtcherine ◽  
Deju Zhu ◽  
Barzin Mobasher

Author(s):  
Tran Manh Tien ◽  
Xuan Hong Vu ◽  
Dao Phuc Lam ◽  
Pham Duc Tho

A big question in the numerical approaches for the mechanical behavior of the textile-reinforced concrete (TRC) composite under tensile loading is how to model the cracking of the cementitious matrix. This paper presents numerical results of 3-D modeling of TRC composite in which the non-linear behavior model was used by considering the cracking for the cementitious matrix. The input data based on the experimental results in the literature. As numerical results, the TRC composite provides a strain-hardening behavior with three phases in which the second one is characterized by the drops in stress on the stress-strain curve. Furthermore, this model could show the failure mode of the TRC specimen with the multi-cracking on its surface after the numerical tests. From this model, the development of a crack from micro-crack to macro at a cross-section was highlighted. The stress jumps in reinforcement textile after each crack was also observed and analyzed. In comparison with the experiment, a good agreement between both results was found for all cases of this study. A parametric study could show the effect of the length and position of the measurement zone on the stress-strain curve of TRC’s mechanical behavior. Keywords: textile reinforced concrete (TRC); cementitious matrix; textile reinforcement; mechanical behaviour; numerical modeling.


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