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Back analysis of rock mass parameters and initial stress for the Longtan tunnel in China
- Source :
- Engineering with Computers. 32:497-515
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- The Longtan tunnel is one key tunnel along the Hurong (Shanghai---Chengdu) national roadway in the Hubei province of China. This tunnel is a typical long and deep tunnel, with a length of approximately 8700 m and a depth of approximately 500 m. Because of the complicated geological conditions and high initial stress, to compute the stability of the surrounding rock, it is very important to back analyze the material parameters and initial stress from the measured displacements. Based on a novel evolutionary neural network proposed by the author, a new back analysis method is proposed that can be used to simultaneously determine the material parameters and the initial stress. Using this new back analysis method, some typical monitoring sections of the Longtan tunnel are computed. From numerical computations using the back analysis results, it is found that the stability of the tunnel is consistent with engineering practice and that the initial stresses determined from the back analysis coincide very well with the measured values. Therefore, using the proposed back analysis method, the relevant parameters for the entire tunnel can be conveniently obtained.
- Subjects :
- Engineering
business.industry
Computation
0211 other engineering and technologies
General Engineering
02 engineering and technology
Structural engineering
010502 geochemistry & geophysics
01 natural sciences
Stability (probability)
Computer Science Applications
Stress (mechanics)
Back analysis
Modeling and Simulation
Geotechnical engineering
business
Rock mass classification
Software
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 14355663 and 01770667
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Engineering with Computers
- Accession number :
- edsair.doi...........4cd807f47798295d836b53823973acf7
- Full Text :
- https://doi.org/10.1007/s00366-015-0428-8