Back Analysis of Geomechanical Parameters Using Hybrid Algorithm Based on Difference Evolution and Extreme Learning Machine
Joint Authors
Annan, Jiang
Song, Zhan-ping
Jiang, Zong-bin
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Since the geological bodies where tunnels are located have uncertain and complex characteristics, the inverse problem plays an important role in geotechnical engineering.
In order to improve the accuracy and speed of surrounding rock identification, the back analysis objective function with usage of the displacement and stress monitoring data has been constructed, with a hybrid algorithm proposed.
An extreme learning machine (ELM) is employed with optimal architecture trained by the difference evolution (DE) arithmetic.
First, the three-dimensional numerical simulation is used in the creation of training and testing samples for ELM model construction.
Second, the nonlinear relationship between rock parameters and displacement is constructed by numerical simulation.
Finally, the geophysics parameters are obtained by DE optimization arithmetic taking into consideration the monitoring data including both displacement and pressure.
This method had been applied in the Fusong highway tunnel in Fusong City of China’s Jilin Province, with a good effect obtained.
It takes full advantage of DE and ELM and has both calculation speed and precision in the back analysis.
American Psychological Association (APA)
Song, Zhan-ping& Annan, Jiang& Jiang, Zong-bin. 2015. Back Analysis of Geomechanical Parameters Using Hybrid Algorithm Based on Difference Evolution and Extreme Learning Machine. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074815
Modern Language Association (MLA)
Song, Zhan-ping…[et al.]. Back Analysis of Geomechanical Parameters Using Hybrid Algorithm Based on Difference Evolution and Extreme Learning Machine. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1074815
American Medical Association (AMA)
Song, Zhan-ping& Annan, Jiang& Jiang, Zong-bin. Back Analysis of Geomechanical Parameters Using Hybrid Algorithm Based on Difference Evolution and Extreme Learning Machine. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1074815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074815