BAYESIAN

作品数：864被引量：1973H指数：16
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Rockburst prediction based on multi-featured drilling parameters and extreme tree algorithm for full-section excavated tunnel faces
《Journal of Rock Mechanics and Geotechnical Engineering》2025年第1期258-274,共17页Wenhao Yi Mingnian Wang Qinyong Xia Yongyi He Hongqiang Sun 
supported by the China Railway Corporation Science and Technology Research and Development Program(Grant Nos.K2020G035 and K2021G024);the National Natural Science Foundation of China(Grant No.52378411).
The suddenness, uncertainty, and randomness of rockbursts directly affect the safety of tunnel construction. The prediction of rockbursts is a fundamental aspect of mitigating or even eliminating rockburst hazards. To...
关键词：Rockburst prediction Drilling parameters Feature system Extreme tree(ET) Bayesian optimization 
A virtual calibration chamber for cone penetration test based on deeplearning approaches
《Journal of Rock Mechanics and Geotechnical Engineering》2024年第12期5179-5192,共14页Mingpeng Liu Enci Sun Ningning Zhang Fengwen Lai Raul Fuentes 
support from the National Natural Science Foundation of China(Grant No.52408356);the China Scholarship Council(CSC).
The interpretation of the cone penetration test(CPT)still relies largely on empirical correlations that have been predominantly developed in resource-intensive and time-consuming calibration chambers.This paper presen...
关键词：Cone penetration test(CPT) Virtual calibration chamber Bayesian optimization(BO) Multilayer perceptron(MLP) Long short-term memory(LSTM)network 
Bayesian partial pooling to reduce uncertainty in overcoring rock stress estimation
《Journal of Rock Mechanics and Geotechnical Engineering》2024年第4期1192-1201,共10页Yu Feng Ke Gao Suzanne Lacasse 
supported by the Guangdong Basic and Applied Basic Research Foundation(2023A1515011244).
The state of in situ stress is a crucial parameter in subsurface engineering,especially for critical projects like nuclear waste repository.As one of the two ISRM suggested methods,the overcoring(OC)method is widely u...
关键词：Overcoring stress measurement Uncertainty reduction Partial pooling Bayesian hierarchical model Nuclear waste repository 
A Bayesian multi-model inference methodology for imprecise momentindependent global sensitivity analysis of rock structures
《Journal of Rock Mechanics and Geotechnical Engineering》2024年第3期840-859,共20页Akshay Kumar Gaurav Tiwari 
Traditional global sensitivity analysis(GSA)neglects the epistemic uncertainties associated with the probabilistic characteristics(i.e.type of distribution type and its parameters)of input rock properties emanating du...
关键词：Bayesian inference Multi-model inference Statistical uncertainty Global sensitivity analysis(GSA) Borgonovo’s indices Limited data 
Bayesian machine learning-based method for prediction of slope failure time被引量：7
《Journal of Rock Mechanics and Geotechnical Engineering》2022年第4期1188-1199,共12页Jie Zhang Zipeng Wang Jinzheng Hu Shihao Xiao Wenyu Shang 
substantially supported by the Shuguang Program from Shanghai Education Development Foundation;Shanghai Municipal Education Commission, China (Grant No. 19SG19);National Natural Science Foundation of China (Grant No. 42072302);Fundamental Research Funds for the Central Universities, China
The data-driven phenomenological models based on deformation measurements have been widely utilized to predict the slope failure time(SFT).The observational and model uncertainties could lead the predicted SFT calcula...
关键词：Slope failure time(SFT) Bayesian machine learning(BML) Inverse velocity method(INVM) 
Rockhead profile simulation using an improved generation method of conditional random field被引量：6
《Journal of Rock Mechanics and Geotechnical Engineering》2022年第3期896-908,共13页Liang Han Lin Wang Wengang Zhang Boming Geng Shang Li 
the funding support from 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);State Education Ministry and the Fundamental Research Funds for the Central Universities (Grant No. 2019 CDJSK 04 XK23)
Rockhead profile is an important part of geological profiles and can have significant impacts on some geotechnical engineering practice,and thus,it is necessary to establish a useful method to reverse the rockhead pro...
关键词：Rockhead profile BOREHOLE Conditional random field(CRF) BAYESIAN Mean uncertainty 
Prediction of TBM jamming risk in squeezing grounds using Bayesian and artificial neural networks被引量：15
《Journal of Rock Mechanics and Geotechnical Engineering》2020年第1期21-31,共11页Rohola Hasanpour Jamal Rostami Jürgen Schmitt Yilmaz Ozcelik Babak Sohrabian 
This study presents an application of artificial neural network(ANN)and Bayesian network(BN)for evaluation of jamming risk of the shielded tunnel boring machines(TBMs)in adverse ground conditions such as squeezing gro...
关键词：BAYESIAN network(BN) Artificial neural network(ANN) Shielded tunnel BORING machine(TBM) Jamming RISK Numerical simulation SQUEEZING ground 
Reliability-based design in rock engineering: Application of Bayesian regression methods to rock strength data被引量：2
《Journal of Rock Mechanics and Geotechnical Engineering》2019年第3期612-627,共16页Nezam Bozorgzadeh John P.Harrison 
Reliability-based design (RBD) is being adopted by geotechnical design codes worldwide, and it is therefore necessary that rock engineering practice evolves to embrace RBD. This paper examines the Hoek-Brown (H-B) str...
关键词：Reliability-based design(RBD) Hoek-Brown(HeB)criterion BAYESIAN regression Indirect TENSILE STRENGTH Characteristic STRENGTH CRITERION 
Slope reliability and back analysis of failure with geotechnical parameters estimated using Bayesian inference被引量：10
《Journal of Rock Mechanics and Geotechnical Engineering》2019年第3期628-643,共16页Luis-Fernando Contreras Edwin T.Brown 
supported by the Large Open Pit Ⅱ project through contract No.019799 with the Geotechnical Research Centre of The University of Queensland,Australia and by SRK Consulting South Africa
A Bayesian approach is proposed for the inference of the geotechnical parameters used in slope design.The methodology involves the construction of posterior probability distributions that combine prior information on ...
关键词：BAYESIAN ANALYSIS HOEK-BROWN CRITERION SLOPE reliability Back ANALYSIS of FAILURE 
Bayesian data analysis to quantify the uncertainty of intact rock strength被引量：8
《Journal of Rock Mechanics and Geotechnical Engineering》2018年第1期11-31,共21页Luis Fernando Contreras Edwin T.Brown Marc Ruest 
supported by the Large Open PitⅡProject through contract No.019799 with the Geotechnical Research Centre of The University of Queensland and by SRK Consulting South Africa
One of the main difficulties in the geotechnical design process lies in dealing with uncertainty. Uncertainty is associated with natural variation of properties, and the imprecision and unpredictability caused by insu...
关键词：UNCERTAINTY Intact rock strength Bayesian analysis Hoek-Brown criterion 
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