Abstract：Here, based on the BP neural network method, 130 open data sets of underground closed blasts were collected and compared to distinguish three groups of surrounding rock medium including clay, sandy soil and rock, and influences of multi-factor on surrounding rock medium peak pressure of arbitrary point explosion in soil were simplified.The weight influences produced by characteristic parameters of blast scaled distance, longitudinal wave velocity, density and saturation level were analyzed to investigate blast impact’s output peak pressure characteristics and propose the simple prediction method for surrounding rock medium blast peak pressure of arbitrary point in soil.Through comparing with the empirical method, the effectiveness of the simple method was verified.BP neural networks with different hidden layer elements were built using the software MATLAB.It was shown that when the hidden layer has 6, 7, 6 neurons, respectively, the overall network performance is the best; under this condition, comparing BP neural network, empirical formula and multi-variable regression analysis (MVRA) prediction results for measured samples, the BP neural network method obtains the minimum average absolute error; in the error contrastive analysis for surrounding rock medium data, the BP neural network method’s prediction error for sandy soil medium is relatively minimum to have obvious advantages compared with empirical formula and MVRA; in the sensitivity analysis for the same surrounding rock medium parameter, longitudinal wave velocity affects peak pressure most obviously; the actual engineering example’s parameters are brought into the BP neural network method and MVRA for comparison, the relative error between the peak pressure predicted values considering different mediums’ reflect coefficients and the actual measured blast load peak value at the dome can be less than 20%.The proposed estimation method provided a simplified reference for the protection design of similar underground structures.
郭璇1,2，马思远1，郭一帆1，张晓新3. 基于BP神经网络的围岩介质爆炸峰值压力预测[J]. 振动与冲击, 2019, 38(3): 199-206.
GUO Xuan1,2,MA Siyuan1, GUO Yifan1, ZHANG Xiaoxin3. Blast peak pressure prediction for surrounding rock medium based on BP neural network method. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(3): 199-206.
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