LAPSE:2024.0379
Published Article

LAPSE:2024.0379
Characteristics of Deformation and Stability of Ultra-Deep Pit in Plateau Alluvial−Lacustrine Gravel Strata
June 5, 2024
Abstract
Deformation of ultra-deep pit walls and surrounding geotechnical bodies due to engineering disturbances typically shows intricate spatiotemporal patterns. In this study, deformations at critical steps of the construction process were first numerically simulated by Midas GTS NX, and this was followed by lab-scale geophysical model tests of the entire process of the pit construction. Data on deformation obtained from numerical simulations and lab-scale geophysical model tests were compared with those obtained from a dynamic monitoring scheme in the field to analyze the characteristics of the deformation and evolution of the pit wall. This was used to derive a generally applicable theoretical expression to predict variations in the horizontal displacements.
Deformation of ultra-deep pit walls and surrounding geotechnical bodies due to engineering disturbances typically shows intricate spatiotemporal patterns. In this study, deformations at critical steps of the construction process were first numerically simulated by Midas GTS NX, and this was followed by lab-scale geophysical model tests of the entire process of the pit construction. Data on deformation obtained from numerical simulations and lab-scale geophysical model tests were compared with those obtained from a dynamic monitoring scheme in the field to analyze the characteristics of the deformation and evolution of the pit wall. This was used to derive a generally applicable theoretical expression to predict variations in the horizontal displacements.
Record ID
Keywords
characteristics of evolution of deformation, dynamic monitoring in field, lab-scale geophysical model test, numerical simulation, ultra-deep pit
Subject
Suggested Citation
Guo Y, Liu S. Characteristics of Deformation and Stability of Ultra-Deep Pit in Plateau Alluvial−Lacustrine Gravel Strata. (2024). LAPSE:2024.0379
Author Affiliations
Guo Y: Faculty of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming 650093, China [ORCID]
Liu S: Faculty of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming 650093, China
Liu S: Faculty of Public Safety and Emergency Management, Kunming University of Science and Technology, Kunming 650093, China
Journal Name
Processes
Volume
12
Issue
5
First Page
941
Year
2024
Publication Date
2024-05-06
ISSN
2227-9717
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Original Submission
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PII: pr12050941, Publication Type: Journal Article
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LAPSE:2024.0379
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https://doi.org/10.3390/pr12050941
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[v1] (Original Submission)
Jun 5, 2024
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