Abstract
In order to study the mechanical properties of basalt fiber reinforced recycled concrete (BFRRC), nine groups of tests are designed with three different replacement rates of recycled aggregates (40%, 70%, and 100%) and volume fraction of basalt fibers (0.1%, 0.2%, and 0.3%). Another group of tests on ordinary concrete without fiber and recycled aggregate is used as comparison. The workability, cubic compressive strength, splitting tensile strength, and flexural strength of BFRRC are tested and analyzed. The effects of fiber content and recycled aggregate replacement ratio on the mechanical properties of concrete are studied. The strength development of fiber reinforced recycled concrete is predicted by using convolution neural network theory. The test results show that the fluidity of concrete mixtures decreases, while the cohesion and water retention are better than ordinary concrete with the increase of replacement ratio of recycled coarse aggregate and basalt fiber content. The compressive and flexural strength of recycled concrete first decrease and then increase slightly, while the splitting tensile strength of recycled concrete continue to decrease with the increase of replacement ratio of recycled aggregate. The flexural strength and splitting tensile strength of recycled concrete are obviously improved after adding basalt fiber, while the compressive strength increases first and then decreases with the increase of fiber content. A convolution neural network model for predicting the strength of basalt fiber reinforced recycled concrete is established. The predicted results are very close to the measured values and can be used as reference for the mix ratio of basalt fiber reinforced recycled concrete.
Highlights
With the large-scale construction of infrastructure, the lack of natural sand and aggregate has gradually become a common dilemma in civil engineering
Landfill or stacking is the main method for disposing concrete waste, and the recycling rate of concrete waste is less than 5% [1]. erefore, recycled concrete using concrete waste as aggregate is of great significance to the treatment of construction waste in urban development [2]
Xiao et al [3] carried out relevant experimental research on the cube compressive strength, cube splitting tensile strength, and flexural strength of recycled concrete and revealed the change rule and influence mechanism of mechanical properties of recycled concrete under the influence of substitution rate and water cement ratio
Summary
With the large-scale construction of infrastructure, the lack of natural sand and aggregate has gradually become a common dilemma in civil engineering. E literature [12,13,14] showed that the compressive strength of Advances in Civil Engineering recycled concrete was not significantly different from that of ordinary concrete, but its flexural strength and tensile strength decreased significantly. On the basis of previous studies, this paper intends to use convolution neural network technology to predict the strength of basalt fiber reinforced recycled concrete. By studying the influence of different fiber content and different replacement rate of recycled coarse aggregate on the cube compressive strength, splitting tensile strength, and flexural strength of recycled concrete, the influence of basalt fiber content and replacement rate of recycled coarse aggregate on the mechanical properties of concrete is obtained. One convolution neural network method [37, 38] is used to train and predict the strength of basalt fiber reinforced recycled concrete
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