EXCAVATIONS

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An enhanced stability evaluation system for entry-type excavations:Utilizing a hybrid bagging-SVM model,GP and kriging techniques
《Journal of Rock Mechanics and Geotechnical Engineering》2025年第4期2360-2373,共14页Shuai Huang Jian Zhou 
supported by the National Natural Science Foundation of China (Grant No.42177164);the Distinguished Youth Science Foundation of Hunan Province of China (Grant No.2022JJ10073);the Outstanding Youth Project of Hunan Provincial Department of Education,China (Grant No.23B0008).
In underground mining,especially in entry-type excavations,the instability of surrounding rock structures can lead to incalculable losses.As a crucial tool for stability analysis in entry-type excavations,the critical...
关键词：Entry-type excavations Critical span graph Stability evaluation Machine learning Support vector machine 
A deep transfer learning model for the deformation of braced excavations with limited monitoring data
《Journal of Rock Mechanics and Geotechnical Engineering》2025年第3期1555-1568,共14页Yuanqin Tao Shaoxiang Zeng Tiantian Ying Honglei Sun Sunjuexu Pan Yuanqiang Cai 
supported by the National Key Research and Development Program of China(Grant No.2023YFC3009400);the National Natural Science Foundation of China(Grant Nos.42307218 and U2239251).
The current deep learning models for braced excavation cannot predict deformation from the beginning of excavation due to the need for a substantial corpus of sufficient historical data for training purposes.To addres...
关键词：Braced excavation Wall deflections Transfer learning Deep learning Finite element simulation 
Prediction of lateral wall deflections of excavations in water-rich sands by a modified multivariate-adaptiveregression- splines method
《Frontiers of Structural and Civil Engineering》2024年第12期1971-1984,共14页Dongdong FAN Delujia GONG Yong TAN Yongjing TANG 
Financial support from the National Natural Science Foundation of China(Grant No.42177179)is gratefully acknowledged.
Machine learning methods have advantages in predicting excavation-induced lateral wall displacements.Due to lack of sufficient field data,training data for prediction models were often derived from the results of nume...
关键词：lateral wall deflection machine learning multivariate adaptive regression splines method excavation database water-rich sand 
Hybrid stacking ensemble algorithm and simulated annealing optimization for stability evaluation of underground entry-type excavations
《Underground Space》2024年第4期25-44,共20页Leilei Liu Guoyan Zhao Weizhang Liang Zheng Jian 
supported by the National Natural Science Foundation of China(Grant No.52204117);the Natural Science Foundation of Hunan Province,China(Grant No.2022JJ40601).
The stability of underground entry-type excavations(UETEs)is of paramount importance for ensuring the safety of mining operations.As more engineering cases are accumulated,machine learning(ML)has demonstrated great po...
关键词：Underground entry-type excavations(UETEs) Hybrid stacking ensemble Machine learning Simulated annealing Critical span graph Base and meta learners 
Deterministic and probabilistic analysis of great-depth braced excavations:A 32 m excavation case study in Paris
《Journal of Rock Mechanics and Geotechnical Engineering》2024年第5期1505-1521,共17页Tingting Zhang Julien Baroth Daniel Dias Khadija Nejjar 
gratefully the China Scholarship Council for providing a PhD Scholarship(CSC No.201906690049).
The Fort d’Issy-Vanves-Clamart(FIVC)braced excavation in France is analyzed to provide insights into the geotechnical serviceability assessment of excavations at great depth within deterministic and probabilistic fra...
关键词：Braced deep excavation Soil-wall interaction Stochastic finite element method Horizontal wall deflection SETTLEMENT Failure probability 
An efficient physics-guided Bayesian framework for predicting ground settlement profile during excavations in clay
《Journal of Rock Mechanics and Geotechnical Engineering》2024年第4期1411-1424,共14页Cong Tang Shuyu He Wanhuan Zhou 
the financial support from the Guangdong Provincial Department of Science and Technology(Grant No.2022A0505030019);the Science and Technology Development Fund,Macao SAR,China(File Nos.0056/2023/RIB2 and SKL-IOTSC-2021-2023).
Recently,the application of Bayesian updating to predict excavation-induced deformation has proven successful and improved prediction accuracy significantly.However,updating the ground settlement profile,which is cruc...
关键词：Bayesian updating EXCAVATIONS Ground settlement profile Simplified model UNCERTAINTY 
Notch formation in vertical excavations in a deep hard rock mine and rock stabilization methodologies
《Deep Resources Engineering》2024年第1期68-84,共17页Alex Hall Ming Cai Brad Simser Jared Lindsay 
This paper presents details of the early to mid-stage deterioration in the form of notch growth of two 3 m diameter bored raises that were excavated and slashed to 7.8 m to serve as an internal shaft(winze).In additio...
关键词：Shaft RAISE Ore pass Waste pass NOTCHING SCOURING Ground support BLASTING 
Reliability-based robust geotechnical design of braced excavations considering multiple failure modes
《Underground Space》2023年第2期43-52,共10页Li Hong Xiangyu Wang Wengang Zhang 
supported by the National Natural Science Foundation of China(Grant No.52078086);Program of Distinguished Young Scholars,Natural Science Foundation of Chongqing,China(Grant No.cstc2020jcyj-jq0087).
Reliability design of braced excavation is still a challenge for geotechnical community.Optimization design is a normal method to control the safety and cost of braced excavations.This study presents an advanced relia...
关键词：Robust geotechnical design Multi-objective optimization Multiple failure modes Genetic algorithm Statistical uncertainty 
Stability prediction of underground entry-type excavations based on particle swarm optimization and gradient boosting decision tree被引量：3
《Underground Space》2023年第2期234-249,共16页Jian Zhou Shuai Huang Ming Tao Manoj Khandelwal Yong Dai Mingsheng Zhao 
the National Science Foundation of China(Grant No.42177164);the Distinguished Youth Science Foundation of Hunan Province of China(Grant No.2022JJ10073);the Innovation-Driven Project of Central South University(Grant No.2020CX040).
The stability of underground entry-type excavations will directly affect the working environment and the safety of staff.Empirical critical span graphs and traditional statistics learning methods can not meet the requ...
关键词：Stability Entry-type excavations Critical span graph Gradient boosting decision tree Particle swarm optimization 
Quantitative assessment of energy changes in underground coal excavations using numerical approach
《Geohazard Mechanics》2023年第1期58-68,共11页Chunchen Wei Chengguo Zhang Onur Vardar John Watson Ismet Canbulat 
Australian Coal Industry's Research Program.Grant/Project Number:C26066.
Coal burst is caused by a dynamic and unstable release of energy within the overstressed rock mass/coal during the mining process.Although the occurrence of coal burst is a result of the complex impacts of many factor...
关键词：Coal burst Energy changes Numerical approaches 
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