Textile Reinforced Concrete

Many construction buildings and Structural barrier members that was built before 90s in USA, they weren't designed for Seismic resistance until Federal Emergency Management Agency FEMA started to do seismic evaluation and rehabilitation and suggested reinforcement methods. In this article we evaluate FRP sheet reinforcement.

This paper deals with the effectiveness of Textile Reinforced Concrete (TRC), as a means of increasing the flexural capacity and Shear capacity of Reinforced Concrete (RC) beams, is experimentally investigated. A new type of Alkali Resistant (AR) glass textile fabric was utilized as strengthening and the Polymer-modified cementitious mortar was utilized as bonding material for the Textile fabric instead of Epoxy resin, because of their advantages related to fire safety and their relatively low cost. The parameters examined in this research work include: (a) The number of the strengthening layers (one, three and five) and (b) The strengthening configuration, namely Bottom-wrapping and U-shape wrapping. In total, Eighteen Reinforced Concrete (RC) beams were casted and tested as simply supported under three-point bending till failure.

Summary: A model is presented to use normalized multi-linear tension and compression material characteristics of strain-hardening textile reinforced concrete and derive closed form expressions for predicting moment-curvature capacity. A set of design equations are derived and simplified for use in spreadsheet based applications. The model is applicable for both strain-softening and strainhardening materials.

The long-term behavior of Civil Engineering structures depends on a variety of envi- ronmental influences such as applied loadings, temperature and weathering. In general, all time-dependent influences of a structure are uncertain p rocesses which lead to uncer- tain time-varying structural responses. Uncertain proces ses can be captured with non- traditional uncertainty models, see M ¨ oller and Beer (2008).

This paper presents the results of an experimental investigation into the strength, deformation, and fracture behaviour of textile-reinforced concrete (TRC) subjected both to low and high-rate tensile loading ranging from 0.0001 to 50 s−1. High strain rates were achieved using a high-rate servo-hydraulic testing machine. The effect of the addition of short fibres on the static and dynamic response of TRC has been investigated, and the microstructure of both composite and fibre was observed after the tests using an ESEM. An increase in tensile strength, strain capacity, and work-to-fracture was observed for strain rates up to 0.1 s−1 with increasing strain rate. The addition of short glass fibres increased the tensile strength and first crack strength of the TRC. For high-speed tests (rates above 5 s−1) an increase in the tensile strength, first crack strength and work-to-fracture was also observed, but at the same time there was a decrease in the strain capacity. The tests at high loading rates showed a pronounced effect of the specimen length on the measured mechanical properties: with increasing gauge length the tensile strength and strain capacity decreased, while the work-to-fracture increased.▶ Tensile strength, strain capacity, and work-to-fracture increased when ε˙≤0.1 s−1. ▶ When ε˙≤5 s−1 a decrease in the strain capacity was observed. ▶ Different fibre-fracture morphologies were observed for high and low strain rates. ▶ The addition of short fibres increased the tensile strength and the crack stress.

In the paper, an approach is described which permits the numerical, model-free prediction of uncertain time-dependent structural responses. Uncertain time-dependent structural actions and responses are modelled by means of fuzzy processes. The prediction approach is based on recurrent neural networks for fuzzy data trained by time-dependent results of measurements or numerical analyses. An efficient solution for network training and prediction is developed utilizing α-cuts and fuzzy arithmetic. The approach is verified using a fractional rheological model. The capability of the approach is demonstrated by predicting the long-term structural behaviour of reinforced concrete plates strengthened by textile reinforced concrete layers.