Chapter
Aug 12, 2020
Prediction of Subgrade Slope Slip Based on Centroid Movement Algorithm
Authors: Risheng Wang, Ph.D. [email protected], Wenwen Chen [email protected], Xanliang Yan [email protected], Jigou Yang [email protected], Lingnan Lin [email protected], and Xuegang Zhang [email protected]Author Affiliations
Publication: CICTP 2020
ABSTRACT
In order to accurately explore and predict the slope sliding of subgrade, this paper relies on the resistivity forward tomography image and the image contrast identification technology to obtain the resistivity changes of subgrade slope internal hidden body with fixed electrode distance at different times. The accuracy of the sliding prediction was verified through the comparison and analysis of barycenter of the resistivity image of the hidden body, supplemented with the theoretical threshold of slope sliding to predict the slope sliding. The results showed that the prediction of the slope sliding based on image contrast algorithm is feasible. The findings can provide reference for research on slope slide detection under geophysical exploration.
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Published In
CICTP 2020
Pages: 1558 - 1565
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© 2020 American Society of Civil Engineers.
History
Published online: Aug 12, 2020
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1Shandong Jiaotong Univ., Jinan 250357. Email: [email protected]
2Shandong Jiaotong Univ., Jinan 250357. Email: [email protected]
3Shandong Provincial Communications Planning and Design Institute, Jinan 250031. Email: [email protected]
4Highway Bureau of Junan, Linyi 276600. Email: [email protected]
5Highway Bureau of Junan, Linyi 276600. Email: [email protected]
6Highway Bureau of Junan, Linyi 276600. Email: [email protected]
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