Rock burst prediction method introducing gradient stress

Abstract

The invention discloses a rock burst prediction method introducing gradient stress. The method comprises the following steps that the step 1, a surrounding rock tangential stress distribution curve ismeasured, and the stress intensity value is calculated according to the surrounding rock tangential stress distribution curve; the step 2, when the rock burst intensity judgment is conducted throughthe stress intensity ratio, the surrounding rock gradient stress distribution is combined, and the stress intensity value is divided by the stress intensity ratio, so that the gradient stress intensity ratio is obtained; the step 3, the statistics of engineering examples with the occurrence of the rock burst is conducted, rock burst example data are put into a calculation formula of the gradient stress intensity ratio, the rock burst grade is judged and predicted through the gradient stress intensity ratio, and the regional division is conducted on the result; and the step 4, the calculation result is analyzed and summarized, and a criterion of predicting the rock burst grade through the stress intensity ratio and the gradient stress intensity ratio is obtained. Compared with the prediction accuracy of an existing criterion, the prediction accuracy of the rock burst criterion established by the rock burst prediction method is substantially improved, utilization is easy and convenient,and the criterion can guide the design and construction of deep-buried tunnel engineering.

Description

technical field [0001] The invention relates to the field of tunnels and underground engineering, in particular to a method for predicting rockbursts by introducing gradient stress. Background technique [0002] With the development and utilization of deep underground resources, rockburst has become a major geological disaster problem in the excavation process of deep underground projects. Rockburst prediction in the early stage of the project or in the feasibility study stage can effectively reduce the construction risk and construction cost of the project. At present, scholars from various countries have proposed a large number of rockburst theoretical prediction methods for different underground projects, but most of these methods only analyze a single physical and mechanical factor in rock mass engineering, and rockburst is a complex geological disaster problem, so these methods The prediction method is only applicable to some projects, and the prediction rate is low. ...

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Problems solved by technology

But when σ θ / R c >0.4, the rockburst prediction results are quite different from the actual results

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