Failure mode and intelligent prediction method of thin-layered rock mass tunnel

IF 2.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Environmental Earth Sciences Pub Date : 2025-02-03 DOI:10.1007/s12665-024-12057-4
Wen-jing Niu, Kun-guang Li, Xu-feng Liu
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Abstract

Different modes of disasters will occur in the process of tunnel construction in thin-layered rock mass. The key to tunnel safety control is to analyze the main control factors affecting the failure mode of thin-layered rock mass tunnel and predict the potential failure mode. The failure characteristics of thin-layered rock mass were analyzed and classified based on 22 tunnel projects. In addition, the influence factors of different failure modes are quantitatively analyzed. Taking the influencing factors as the prediction index, combined with the actual case, the initial database is constructed. The Fisher-Freeman-Halton exact test method was used to calculate the main control factors of the failure mode. The initial database samples were pretreated by augmentation and CRITIC method weighting, and the failure mode prediction model of thin-layered rock mass tunnel was established by random forest. The evaluation metrics and validation index of the model is tested by practical engineering case, and the results are compared with RF, AdaBoost and SVM algorithms. The findings show that the failure modes of thin-layered rock mass tunnel can be divided into four types, including squeeze bending failure, buckling bending failure, along-layer slip failure, and falling block failure. The angle between the maximum stress and the rock strata and the degree of joint development are the main control factors affecting the failure mode. The accuracy, precision, recall and F1-Score of the CRITIC-RF are 81.8%, 81.7%, 80.2%, 0.809, and higher than AdaBoost and SVM. The Oob-Score of the CRITIC-RF is 0.824 and higher than RF. The reliability of the prediction results of the prediction model is ensured. The research results can provide the basis and reference for the failure mode prediction and active control of thin-layered rock mass tunnel. The research results can provide scientific basis for the prediction and precise control of engineering disasters in thin-layered rock masses.

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薄层岩体隧道破坏模式及智能预测方法
在薄层岩体中,隧道施工过程中会发生不同形式的灾害。分析影响薄层岩体隧道破坏模式的主要控制因素,预测其潜在破坏模式,是隧道安全控制的关键。以22个隧道工程为例,对薄层岩体的破坏特征进行了分析和分类。此外,还定量分析了不同失效模式的影响因素。以影响因素为预测指标,结合实际案例,构建初始数据库。采用Fisher-Freeman-Halton精确试验方法计算了失效模式的主要控制因素。对初始数据库样本进行增强和critical方法加权预处理,采用随机森林方法建立薄层岩体隧道破坏模式预测模型。通过工程实例对模型的评价指标和验证指标进行了验证,并与RF、AdaBoost和SVM算法进行了比较。研究结果表明:薄层岩体隧道的破坏模式可分为挤压弯曲破坏、屈曲弯曲破坏、顺层滑移破坏和落块破坏4种类型;最大应力与岩层的夹角和节理发育程度是影响破坏模式的主要控制因素。critical - rf的正确率、精密度、召回率和F1-Score分别为81.8%、81.7%、80.2%、0.809,均高于AdaBoost和SVM。critical -RF的Oob-Score为0.824,高于RF。保证了预测模型预测结果的可靠性。研究结果可为薄层岩体隧道的破坏模式预测和主动控制提供依据和参考。研究结果可为薄层岩体工程灾害的预测和精确控制提供科学依据。
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来源期刊
Environmental Earth Sciences
Environmental Earth Sciences 环境科学-地球科学综合
CiteScore
5.10
自引率
3.60%
发文量
494
审稿时长
8.3 months
期刊介绍: Environmental Earth Sciences is an international multidisciplinary journal concerned with all aspects of interaction between humans, natural resources, ecosystems, special climates or unique geographic zones, and the earth: Water and soil contamination caused by waste management and disposal practices Environmental problems associated with transportation by land, air, or water Geological processes that may impact biosystems or humans Man-made or naturally occurring geological or hydrological hazards Environmental problems associated with the recovery of materials from the earth Environmental problems caused by extraction of minerals, coal, and ores, as well as oil and gas, water and alternative energy sources Environmental impacts of exploration and recultivation – Environmental impacts of hazardous materials Management of environmental data and information in data banks and information systems Dissemination of knowledge on techniques, methods, approaches and experiences to improve and remediate the environment In pursuit of these topics, the geoscientific disciplines are invited to contribute their knowledge and experience. Major disciplines include: hydrogeology, hydrochemistry, geochemistry, geophysics, engineering geology, remediation science, natural resources management, environmental climatology and biota, environmental geography, soil science and geomicrobiology.
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