Open AccessStudy on Section Selection of Super Large Oil Storage Tunnel Based on Strength Reduction Method
Author(s) -
Lei Xiang,
Fei Wang,
Chunfang Kong,
Zaiyan Zou,
Huijian Zhang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/741/1/012020
Subject(s) - section (typography) , strength reduction , arch , reduction (mathematics) , structural engineering , limiting , stability (learning theory) , selection (genetic algorithm) , horseshoe (symbol) , geotechnical engineering , cross section (physics) , finite element method , engineering , geology , computer science , mechanical engineering , mathematics , geometry , physics , quantum mechanics , machine learning , artificial intelligence , programming language , operating system
To study the section selection of super large oil storage tunnel could help make full use of underground space and arrange tunnels reasonably. The stability of tunnel with three different section (horseshoe section, circular section, elliptic arch section) was studied using the strength reduction method by finite difference element software. The FoS evolution with depth was discussed and the limiting failure state of tunnel were observed with the depth. The results indicated that the stability of different section are basically the same, because of the surrounding rock conditions are good. Cost and space utilization can be the main factors in the section selection.