Open AccessClassification and Application of Surrounding Rock Stability of Straight Wall Semi-circular Arch Roadway
Author(s) -
Xiangping Kong,
Wang Shuan,
Jie Fang,
Hao-chen Zhang,
Xiao-lin Hao,
Zhuang-zhuang Xu
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/330/2/022109
Subject(s) - arch , stability (learning theory) , reliability (semiconductor) , coal mining , artificial neural network , engineering , geotechnical engineering , structural engineering , mining engineering , computer science , coal , artificial intelligence , machine learning , power (physics) , physics , quantum mechanics , waste management
The stability of roadway surrounding rock plays an important role in the safety of roadway, so the classification of roadway stability becomes an indispensable part in the safety analysis of coal roadway. Based on the statistical analysis of 25 relevant literatures and the principle of index selection, 12 classification indexes were determined by comprehensive analysis. A genetic neural network model was established. Data of 12 straight wall semi-circular arch roadways were investigated as training samples, and 4 roadways were selected for testing. The prediction accuracy of the model is 100%. Combining with the theory of strong support for coal roadway sidewall and angle, the stability classification model is applied to the classification of surrounding rock stability of straight wall semi-circular arch roadway, and reasonable supporting countermeasures and suggestions for different grades of surrounding rock are given. In order to verify the reliability of the model, the model has been applied in engineering, and achieved good results. It proves that the model has goodfit and strong applicability.