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Mining Technology and Mine Management

Prediction Study on Loosening Ring of Surrounding Rock Around Roadways Using the Optimized Ensemble Learning Algorithms Based on Adaboost

  • Boyang FANG ,
  • Guoyan ZHAO ,
  • Ju MA ,
  • Liqiang CHEN ,
  • Zheng JIAN
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  • School of Resources and Safety Engineering,Central South University,Changsha 410083,Hunan,China

Received date: 2022-09-19

  Revised date: 2023-03-15

  Online published: 2023-07-20

Highlights

In order to improve the prediction accuracy of loose zone of excavation damaged zone around roadways and provide more scientific guidance for surrounding rock support and ground pressure management,a new prediction method was proposed.The improved Adaboost regression algorithm was used to integrate and optimize three machine learning algorithms,the optimal value of the error rate threshold was found to achieve the global optimal integration of Adaboost.The grid search was used to optimize the hyperparameters of BP,SVM and RF,and the regression prediction models of BP-Adaboost,SVM-Adaboost and RF-Adaboost were established.The results show that the prediction performance of BP-Adaboost is the best,it had the lowest error rate at 7.65 percent.The verification analysis was carried out based on the test example of excavation damaged zone around roadway,the results show that the mean relative error is 4.15%.Therefore,the model proposed in this paper can provide reference for the excavation damaged zone around roadway and meet the needs of engineering applications.

Cite this article

Boyang FANG , Guoyan ZHAO , Ju MA , Liqiang CHEN , Zheng JIAN . Prediction Study on Loosening Ring of Surrounding Rock Around Roadways Using the Optimized Ensemble Learning Algorithms Based on Adaboost[J]. Gold Science and Technology, 2023 , 31(3) : 497 -506 . DOI: 10.11872/j.issn.1005-2518.2023.03.122

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2023中国探矿者年会提出:发挥地勘队伍在找矿突破中的主力军作用

7月5日,2023中国探矿者年会在郑州召开,会议以“学习贯彻习近平总书记重要回信精神,发挥地勘队伍在找矿突破战略行动中的主力军作用”为主题。自然资源部党组书记、部长王广华出席会议并讲话。河南省省长王凯致辞。

王广华指出,站在开启全面建设社会主义现代化国家的新的历史起点上,要充分认识实施新一轮找矿突破战略行动的重大意义。地勘单位、矿业企业要心怀“国之大者”,把思想和行动统一到习近平总书记重要指示批示精神上来,积极投身新一轮找矿突破战略行动。

2022年以来,自然资源部等部门认真贯彻落实党中央、国务院决策部署,科学谋划工作方案,突出紧缺战略性矿产,强化基础地质工作,优化找矿布局,大力推进科技创新,深化矿产资源管理改革,充分发挥市场主体作用,全面推进绿色勘查,与各级政府、地勘单位、矿业企业、高等院校、科研院所等,共同推动新一轮找矿突破战略行动,实现了良好开局,为后续工作开展奠定了良好基础。

王广华强调,今后五年,自然资源部将紧紧围绕国家战略需求,推进实施新一轮找矿突破战略行动、实现重要矿产产能提升、加强矿产资源储备三大重点任务,力争实现关键指标显著提高、重要矿产找矿增储取得新突破、矿产资源布局进一步优化、找矿理论和勘查技术取得原创性突破四大重点目标。当前要聚焦目标任务,加强基础地质调查和紧缺战略性矿产勘查,加快推进重点矿业项目审批,大力推进科技攻关,加强政策供给,引导和拉动市场主体参与矿产勘查工作。

王广华表示,广大地质工作者要弘扬优良传统,积极投身新一轮找矿突破战略行动,发挥主力军作用,努力找大矿、找好矿。地勘单位要找准工作定位,主动承担任务,积极开展战略性矿产调查,提出区块建议。矿业企业要牢牢抓住重大机遇,探索谋划探采一体的发展模式,延长产业链,增强抵御风险能力,为增储上产贡献力量。

会议由中国矿业联合会主办,会议期间还召开了地质(勘)局长座谈会和找矿经验交流会。

http://www.goldsci.ac.cn/article/2023/1005-2518/1005-2518-2023-31-3-497.shtml

Chao Z Kim H2020. Brain image segmentation based on the hybrid of back propagation neural network and Adaboost system[J].Journal of Signal Processing Systems for Signal Image and Video Technology92(3):289-298.

Chen Chong Li Xibing Feng Fan2018.Numerical study on damage zones of the induced roadway surrounding rock[J].Gold Science and Technology26(6):771-779.

Dong Fangting2001.The Supporting Theory Based on Broken Rock Zone and Its Application Technology[M]. Beijing:China Coal Industry Publishing Home.

Gao Wei Zheng Yingren2002.Evolutionary neural network model on prediction of loosen zone around roadway[J]. Chinese Journal of Rock Mechanics and Engineering,(5):658-661.

Jing Feng2008.Research on the Distribution Rule of the Shallow Crustal Geostress Field in the China Mainland and Engineering Disturbance Characteristics[D].Beijing:Institute of Rock and Soil Mechanics,Chinese Academy of Sciences.

Jing Yue Wang Shaofeng Lu Jintao2021.Thickness prediction of the excavation damage zone and non-explosive mechanized mining criterion[J].Gold Science and Technology29(4):525-534.

Li Guosheng Zhang Hui Jiang Shuaiqi2018.Technology for enhancing supporting roadway surrounding rock influenced by frequent mining and its application[J].China Sa-fety Science Journal28(7):142-147.

Momeni M Peyghami M R Tarzanagh D A2020. A new stochastic limited memory BFGS algorithm[J].Journal of Ma-thematical Extension14(3):65-83.

Qian Zhenyu Ren Fenhua Miao Shengjun,et al,2013.Optimization design of roadway support based on field measurement of surrounding rock broken zone[J].Metal Mine42(10):16-20.

Shen Jinsheng Tang Xionghou2012.Study on influence factors of broken rock zone around mining roadway[J].Mineral Engineering Research27(2):10-14.

Wang Wei2014.Study on Dading Mountain Mine RoadwayRock Loose Circle the Mining and Its Influence[D].Mianyang:Southwest University of Science and Technology.

Wang Xinfeng He Yi Lu Mingyuan,et al,2021.Study on deformation and failure characteristics of deep roadway surrounding rock under excavation unloading disturbance [J]. China Safety Science Journal31(8):83-90.

Wu Tao Dai Jun Du Meili,et al,2015.Surrounding rock loosing circle test based on acoustic test technology[J].Safety in Coal Mines46(1):169-172.

Wu Yongping Zhai Jin Xie Panshi,et al,2013.Measurement of loosing circle in surrounding rock of gateway based on technology of geological radar detection[J].Coal Science and Technology41(3):32-34,38.

Xiong B Li R Ren D,et al,2021.Prediction of flooding in the downstream of the Three Gorges Reservoir based on a back propagation neural network optimized using the Adaboost algorithm[J].Natural Hazards107(2):1559-1575.

Xue Xinhua2006.Application of algorithm neural network method in the prediction of loosen zone around roadway[J]. Geotechnical Engineering Technique,(5):237-239.

Yu Qinglei Pu Jiangyong Le Zhihua,et al,2021.Study on the broken rock zone of roadway in skarn copper-iron mine based on geological radar[J]. Metal Mine50(3):46-53.

Zhao Guoyan Wu Hao2013.Support vector machine model for predicting the thickness of excavation damaged zone[J]. Journal of Guangxi University(Natural Science Edition)38(2):444-450.

Zhao Linlin Wen Guofeng Shao Liangshan2018.PCA-Adaboost model for predicting coal spontaneous combustion in caving zone with imbalanced data[J].China Safety Science Journal28(3):74-78.

Zhou J Li E Yang S,et al,2019. Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories[J]. Safety Science,118:505-518.

Zhou J Li X B2011. Evaluating the thickness of broken rock zone for deep roadways using nonlinear SVMs and multiple linear regression model[J]. Procedia Engineering,26:972-981.

Zhu Chuanqu1999.Stability classification and prediction of lo-osening circle size in the surrounding rock of back mining roadway[J].Gold Science and Technology7(Supp.1):64-67.

Zhu Zhijie Zhang Hongwei Chen Ying2014. Prediction model of loosening zones around roadway based on MPSO-SVM[J].Computer Engineering and Applications50(12):1-5.

陈冲,李夕兵,冯帆,2018.诱导巷道的围岩松动破坏区数值研究[J].黄金科学技术26(6):771-779.

董方庭,2001. 巷道围岩松动圈支护理论与应用技术[M]. 北京:煤炭工业出版社.

高玮,郑颖人,2002.巷道围岩松动圈预测的进化神经网络法[J].岩石力学与工程学报,(5):658-661.

景锋,2008. 中国大陆浅层地壳地应力场分布规律及工程扰动特征研究[D].北京:中国科学院武汉岩土力学研究所.

景岳,王少锋,鲁金涛,2021.矿岩开挖松动区厚度预测及非爆机械化开采判据[J].黄金科学技术29(4):525-534.

李国盛,张辉,蒋帅旗,2018. 频繁采动影响巷道围岩强化支护技术及其应用[J].中国安全科学学报28(7):142-147.

钱振宇,任奋华,苗胜军,等,2013.基于围岩松动圈现场测量的巷道支护优化[J].金属矿山42(10):16-20.

沈金生,唐雄厚,2012. 回采巷道围岩松动圈影响因素分析[J].矿业工程研究27(2):10-14.

王伟,2014. 大顶山矿区回采巷道围岩松动圈及影响研究[D]. 绵阳:西南科技大学.

王新丰,何毅,陆明远,等,2021.开挖卸荷扰动深部巷道围岩变形破坏特征研究[J].中国安全科学学报31(8):83-90.

吴涛,戴俊,杜美利,等,2015.基于声波法测试技术的巷道围岩松动圈测定[J].煤矿安全46(1):169-172.

伍永平,翟锦,解盘石,等,2013.基于地质雷达探测技术的巷道围岩松动圈测定[J].煤炭科学技术41(3):32-34,38.

薛新华,2006.遗传神经网络法在巷道围岩松动圈预测中的应用[J].岩土工程技术,(5):237-239.

于庆磊,蒲江涌,勒治华,等,2021.基于地质雷达的矽卡岩型铜铁矿巷道松动圈研究[J].金属矿山50(3):46-53.

赵国彦,吴浩,2013.松动圈厚度预测的支持向量机模型[J].广西大学学报(自然科学版)38(2):444-450.

赵琳琳,温国锋,邵良杉,2018.不均衡数据下的采空区煤自燃PCA-Adaboost预测模型[J].中国安全科学学报28(3):74-78.

朱川曲,1999.回采巷道围岩稳定性分类及松动圈尺寸预测[J].黄金科学技术7(增1):64-67.

朱志洁,张宏伟,陈蓥,2014.基于MPSO-SVM巷道围岩松动圈预测研究[J].计算机工程与应用50(12):1-5.

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