Method for rapidly predicting peak flow rate of dam body outburs

Abstract

The invention discloses a method for rapidly predicting the peak flow rate of dam body outburst. The method is specifically implemented according to the following steps: step 1, collecting dam body outburst data samples including the erosion degree of a dam body and the soil particle size parameters of the dam body; step 2, classifying the data samples collected in the step 1 according to particle size parameters and erosion degrees of the soil body of the barrier body; step 3, carrying out dimensionless processing on the data samples collected in the step 1; step 4, performing radial basis function neural network model training on the data processed in the step 3; and step 5, processing a to-be-predicted weir body outburst data sample in the step 3, and inputting the to-be-predicted weir body outburst data sample into the model obtained in the step 4 to obtain the weir body outburst peak flow. According to the method, the problems that an existing prediction method does not consider the influence of the dam body erosion degree and the soil body particle size on the outburst flow, does not consider the nonlinear relation between parameters and is poor in prediction precision are solved, and data support can be provided for dammed lake outburst rescue, evacuation range delimiting schemes and the like.

Description

technical field [0001] The invention belongs to the technical field of water conservancy engineering, and relates to a method for quickly predicting peak flow rate of dam body collapse. Background technique [0002] Rapid prediction of burst peak flow rate is very important in emergency rescue of dammed body burst. However, most of the existing prediction methods are based on a small number of representative parameters, especially without considering the classification of the erosion degree of the dam body and the important influence of the particle size of the dam body on the failure of the dam body. Fast prediction method. In the rapid prediction process of peak flow rate of dammed body breach, if only individual characteristic parameters are used to simulate peak flow rate, there are defects such as strong subjectivity, large data fluctuation, and low accuracy. At the same time, the existing methods do not classify the erosion degree of the damming body, and do not cons...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a rapid prediction method for the peak flow rate of dammed body collapse, which can make up for the defects that the existing prediction method does not consider the classification of dammed body erosion degree and the influence of dammed body soil particle size on the burst flow rate, and is a dammed body. Provide data support for lake burst rescue, evacuation plan for the downstream of the barrier lake, and inversion analysis of barrier body burst flood to obtain more accurate results

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