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Research Article | Open Access

Numerical simulation scheme of jointed rock masses using UAV photogrammetry and a disk-based discontinuous deformation analysis model

Quan Dai1Biao Zhao2Shuguang Wang3Dongliang Huang1( )Changrui Jin1
School of Civil Engineering, Central South University, Changsha, Hunan 410075, China
China Railway Chongqing Surveying Design Research Institute Co., Ltd., Chongqing 400023, China
Guizhou Transportation Planning Surveying Design Research Institute Co., Ltd., Guiyang, Guizhou 550014, China
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Abstract

The use of unmanned aerial vehicles (UAVs) for photogrammetry allows the rapid acquisition of high-resolution images of geological masses in complex landforms. However, effective analysis of the acquired image information remains a key research issue. At K158 + 837 on the Chongqing-Huaihua Railway, Baima jointed rock masses were reconstructed with high accuracy using UAV close-range photogrammetry technology, and rock discontinuities were extracted from the projected image. The proposed modeling algorithm for jointed rock masses enables the preprocessing of two-dimensional jointed rock mass slopes. Numerical simulations using the disk-based discontinuous deformation analysis method show that the discontinuity network formed by initial cutting significantly affects the subsequent crack development. Meanwhile, simulation results under different scenarios indicate the importance of the pre-reinforcement measures applied to unstable rock masses. The workflow developed based on these results can serve as a reference for the comprehensive acquisition, recognition and numerical modeling analysis of similar jointed rock masses.

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Electronic Research Archive
Pages 3381-3399

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Cite this article:
Dai Q, Zhao B, Wang S, et al. Numerical simulation scheme of jointed rock masses using UAV photogrammetry and a disk-based discontinuous deformation analysis model. Electronic Research Archive, 2023, 31(6): 3381-3399. https://doi.org/10.3934/era.2023171

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Received: 04 March 2023
Revised: 01 April 2023
Accepted: 03 April 2023
Published: 15 June 2023
©2023 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)