scholarly journals Advanced Geological Prediction

2020 ◽  
Author(s):  
Shaoshuai Shi ◽  
Xiaokun Xie ◽  
Siming Tian ◽  
Zhijie Wen ◽  
Lin Bu ◽  
...  
Keyword(s):  
Geological Prediction

Advanced Geological Prediction Technology Based on Tunnel Face Borehole Drilling

2020 ◽  
Vol 14 (3) ◽  
pp. 78-85
Author(s):  
Tong-xu Ji ◽  
Zhu Qu ◽  
Hu-nan Tian
Keyword(s):  
Tunnel Face ◽  
Geological Prediction ◽  
Borehole Drilling

scholarly journals Generative adversarial network for geological prediction based on TBM operational data

2022 ◽  
Vol 162 ◽  
pp. 108035
Author(s):  
Chao Zhang ◽  
Minming Liang ◽  
Xueguan Song ◽  
Lixue Liu ◽  
Hao Wang ◽  
...  
Keyword(s):  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Geological Prediction ◽  
Operational Data

Adequate presentation of the degree of accuracy in geological prediction

1977 ◽  
Vol 15 (1) ◽  
pp. 31-32
Author(s):  
Y. Cuénod ◽  
J. P. Tripet
Keyword(s):  
Geological Prediction

scholarly journals Geological Prediction Ahead of Tunnel Face in the Limestone Formation Tunnel using Multi-Modal Geophysical Surveys

2018 ◽  
Vol 995 ◽  
pp. 012114
Author(s):  
N F M Zaki ◽  
M A M Ismail ◽  
Mohd Hazreek Zainal Abidin ◽  
Aziman Madun
Keyword(s):  
Tunnel Face ◽  
Geophysical Surveys ◽  
Geological Prediction

Analytical model for assessing collapse risk during mountain tunnel construction

2016 ◽  
Vol 53 (2) ◽  
pp. 326-342 ◽  
Author(s):  
Guo-Hua Zhang ◽  
Yu-Yong Jiao ◽  
Li-Biao Chen ◽  
Hao Wang ◽  
Shu-Cai Li
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Index System ◽  
Assessment Model ◽  
Tunnel Construction ◽  
Assessment Index ◽  
Assessment Index System ◽  
Geological Prediction ◽  
Tunnel Collapse ◽  
Mountain Tunnel

Risk management for safety in mountain tunnel construction is of great significance. However, existing research lags behind engineering applications. In this paper, the risk of mountain tunnel collapse is used as an example to illustrate a new assessment method based on case-based reasoning, advanced geological prediction, and rough set theory. First, the risk surroundings and risk factors involved in tunnel collapse are integrated and summarized, and a risk assessment index system is established for tunnel collapse. At the same time, because the dynamic response parameters obtained by the advanced geological prediction usually indicate a typical geological structure, sensitive response parameters are introduced in the assessment index system. Advanced risk assessment can be performed for tunnel sections at a certain distance ahead of the tunnel face. Second, the major risk surroundings and the advanced geological prediction results are analyzed for the tunnel under assessment. Cases with similar attribute characteristics are selected via comparison with previous cases. Attribute reduction and calculation of weights are subsequently performed for the risk surroundings and risk factors of similar cases based on the attribute significance theory of rough sets. Finally, index screening and objective weights are applied in the fuzzy comprehensive assessment model. The results of this paper can be used to improve the theoretical level and reliability of risk assessment in tunnel safety and serve as a reference for tunnel construction.

Research on multisource information fusion of tunnel geological prediction based on evidence theory

2017 ◽  
Author(s):  
Zonghui Liu ◽  
Yetian Wang ◽  
Hui Ke ◽  
Heng Wu ◽  
Dong Zhou
Keyword(s):  
Information Fusion ◽  
Evidence Theory ◽  
Geological Prediction
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