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应用Sheorey模型结合PSO-BP神经网络高精度预测温泉井田地应力状态:以箐河矿温泉井田区为例
Application of Sheorey Model Combined with PSO-BP Neural Network to Predict in-situ Stress State of Hot Spring Mine Field with High Accuracy: Taking the Hot Spring Mine Area of Qinghe Mine as an Example
【摘要】 在矿井建设过程中,深埋硐室常常面临高地应力聚集的问题,这种高地应力状态可能导致多种工程病害,如岩爆和软岩大变形等。地应力作为地下岩体和矿体变形、破坏的主要原动力,对岩体形变、工程稳定性等方面有重大影响。为了保障矿井建设的顺利进行,准确掌握分析矿区地应力参数及其分布特征至关重要。在箐河矿区温泉井田勘查过程中,通过选择适当的钻探位置,开展钻探深孔内地应力的测试,获取地应力参数并分析其分布特征,为矿井下一步建设提供重要的设计依据。以温泉井田10-4钻孔水压致裂地应力实测成果为基础,利用改进后的Sheorey计算模型估算获取了矿区测试空白区的围岩地应力参数,通过粒子群算法PSO加优化的BP神经网络,高精度地应用于温泉井田地应力的多参识别。在此基础上,对矿井+1 500 m水平运输大巷开挖过程中可能发生的硬质围岩岩爆现象和软质围岩变形情况进行了预测。通过分析地应力分布特征,能够有效预测可能出现的工程病害,可为矿井下一步工程施工与巷道支护设计提供重要依据。
【Abstract】 In the process of mine construction, deep-buried chambers often face the problem of high ground stress accumulation, which may lead to many engineering diseases, such as rockburst and large deformation of soft rock. In-situ stress, as the main motive force of deformation and destruction of underground rock mass and ore body, has great influence on rock mass deformation and engineering stability. In order to ensure the smooth progress of mine construction, it is very important to accurately grasp and analyze the in-situ stress parameters and their distribution characteristics in mining areas.In the exploration process of Wenquan mine field in Qinghe mining area, the in-situ stress in deep holes was tested by selecting appropriate drilling locations, and the in-situ stress parameters were obtained and their distribution characteristics were analyzed, which provided an important design basis for the next construction of the mine. Based on the measured results of in-situ stress caused by hydraulic fracturing in 10-4 borehole in Wenquan mine field, the in-situ stress parameters of surrounding rock in the test blank area of the mining area were estimated and obtained by using the improved Sheorey calculation model, and the BP neural network optimized by particle swarm optimization algorithm PSO was applied with high accuracy. On this basis, the rock burst phenomenon of hard surrounding rock and the deformation of soft surrounding rock that may occur during the excavation of +1 500 m horizontal transportation roadway in mine were predicted. By analyzing the distribution characteristics of in-situ stress, possible engineering diseases can be effectively predicted, which can provide an important basis for the next engineering construction and roadway support design in the mine.
【Key words】 ground stress; hydraulic fracturing method; Sheorey calculation model; PSO-BP neural network;
- 【文献出处】 科学技术与工程 ,Science Technology and Engineering , 编辑部邮箱 ,2025年26期
- 【分类号】TD31;TP183
- 【下载频次】27