The invention discloses a method and
system for predicting the grouting effect of foaming type
grout based on PSO-BP, and belongs to the field of grouting repair
engineering.The method comprises the following steps that
bedrock fracture characteristics are collected to obtain fracture opening, fracture roughness and
hydrodynamic pressure, meanwhile, grouting
influence factor data are obtained, the grouting
influence factor data comprise the grouting amount, the
grout component proportion and the grouting pressure, and the grouting
influence factor data comprise the grouting amount, the
grout component proportion and the grouting pressure; the method comprises the following steps: dividing fracture opening, fracture roughness,
hydrodynamic pressure and grouting influence factor data into a
training set and a
test set by using a PSO-BP neural
network model, generating a grouting
diffusion distance prediction model and a grouting water plugging rate prediction model, predicting the
test set through the generated models, obtaining predicted values of the grouting
diffusion distance and the grouting water plugging rate, and predicting the grouting
diffusion distance and the grouting water plugging rate according to the predicted values of the grouting diffusion distance and the grouting water plugging rate. And according to the two groups of predicted values and measured values, calculating to obtain a
mean square error, a mean absolute error and a decision coefficient corresponding to each group to evaluate the prediction effect of the
slurry grouting effect. According to the method, accurate prediction of the grouting repair effect of the foaming
slurry is realized through the PSO-BP neural network.