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 ).本数据集为基于隧道内微震监测系统指标构建的岩爆（Rockburst）数据集，共包含4个岩爆风险等级：无风险（34例）、轻度风险（21例）、中度风险（25例）与强烈风险（11例）。用于岩爆风险预测的指标包括事件累计数（记为D1）、累计释放能量的对数（记为D2）、累计视体积的对数（记为D3）、事件速率（记为D4）、能量速率的对数（记为D5）、视体积速率的对数（记为D6）以及孕育时间（记为D7）。

搜集汇总

背景与挑战

背景概述

该数据集包含基于隧道微震监测系统指标的岩爆数据，涵盖四个风险等级（无、轻微、中等和强烈）和七个预测指标（如累计事件数、累计释放能量的对数等）。数据集由中央南大学贡献，发布于2020年10月27日，采用CC BY 4.0许可。