Rockburst dataset in tunnels

Rockburst dataset based on the indicators from the microseismic monitoring system in tunnels. There are four rockburst risk levels: none (34 cases), slight (21 cases), moderate (25 cases) and intense (11 cases). The indicators for the rockburst risk prediction include cumulative number of events (indicated as D1), logarithm of the cumulative release energy (indicated as D2), logarithm of the cumulative apparent volume (indicated as D3), event rate (indicated as D4 ), logarithm of the energy rate (indicated as D5), logarithm of the apparent volume rate (indicated as D6) and incubation time (indicated as D7 ).基于隧道微地震监测系统指标构建的岩爆数据集。该数据集包含四种岩爆风险等级：无岩爆（34例）、轻微岩爆（21例）、中等岩爆（25例）和强烈岩爆（11例）。岩爆风险预测的指标包括事件累积数量（标记为D1）、累积释放能量的对数（标记为D2）、累积表观体积的对数（标记为D3）、事件发生率（标记为D4）、能量发生率的对数（标记为D5）、表观体积发生率的对数（标记为D6）以及孵化时间（标记为D7）。

搜集汇总

背景与挑战

背景概述

该数据集是一个用于隧道岩爆风险预测的微震监测数据集，包含91个案例，涵盖无、轻微、中等和强烈四个风险等级。数据集提供了七个关键预测指标，如累积事件数和能量对数等，适用于岩爆风险评估研究，由中南大学于2020年发布，采用开放许可证。