DocumentCode
2818992
Title
The Application of Genetic Algorithm in Tunnel Geological Prediction of High Resistivity Abnormal Inversion
Author
Yao Li ; Xu Ying ; Wang Riqing
Author_Institution
Sch. of Inf. Sci. & Eng., Shenyang Univ. of Technol., Shenyang, China
fYear
2009
fDate
19-20 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The forecast of geology prospecting during tunnel boring machine (TBM) working is based on the detection of underground medium resistivity anomaly. Papers use IP( induced polarization) method to detect abnormal body underground It is considered as experimental models that the abnormal resistivity due to a underground sphere using two pole array. Apparent resistivity is measured on the platform of field measurement, and the date will be processed in inversion algorithm. The final result of inversion, an optimization method in mathematics, is obtaining the minimum of the objective function. By means of Genetic Algorithm, it will be found that parameters obtained (resistivity of earth and the radius, the depth, and the horizontal distance of the globularity objection) be more close the true result.
Keywords
boring machines; genetic algorithms; geology; geophysical prospecting; tunnels; field measurement platform; genetic algorithm; geology prospecting forecast; globularity objection; high resistivity abnormal inversion; induced polarization; mathematic optimization method; objective function minimum; tunnel boring machine working; tunnel geological prediction; two pole array; underground medium resistivity anomaly; underground sphere; Algorithm design and analysis; Conductivity; Electrical resistance measurement; Electrodes; Genetic algorithms; Geologic measurements; Geology; Impedance; Optimization methods; Polarization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4994-1
Type
conf
DOI
10.1109/ICIECS.2009.5363459
Filename
5363459
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