The application provides a spiral tensile
fiber concrete preparation method with high anti-explosion performance, belongs to the field of
fiber reinforced concrete, and comprises the following steps: according to the
fiber type and mechanical performance parameters, the
diameter ratio and wrapping angle of the spiral tensile fiber are predicted based on
deep learning, and the spiral tensile fiber is prepared; the spiral tensile fiber is embedded into concrete with different matrix strengths, the negative Poisson's ratio of the spiral tensile fiber is determined after curing, and the concrete
matrix strength grade corresponding to the maximum negative Poisson's ratio is recorded; under the concrete
matrix strength grade corresponding to the maximum negative Poisson's ratio, a plurality of groups of mixing ratios are generated, the mechanical
performance prediction value is obtained based on
deep learning according to the spiral tensile fiber characteristic parameters and the mixing ratios, the fitness of the mechanical
performance prediction value and the target value is calculated, the matrix
mixing ratio is searched based on a
genetic algorithm, and the matrix
mixing ratio is verified; and the concrete is prepared according to the matrix
mixing ratio and the spiral tensile fiber; the preparation
system is also provided; and the anti-explosion performance of the concrete is improved.