Abstract
Characterizing the surface deformation during the inter-survey period could assist in understanding rock mass progressive failure processes. Moreover, 3D reconstruction of rock mass surface is a crucial step in surface deformation detection. This study presents a method to reconstruct the rock mass surface at close range in a fast way using the improved structure from motion—multi view stereo (SfM) algorithm for surface deformation detection. To adapt the unique feature of rock mass surface, the AKAZE algorithm with the best performance in rock mass feature detection is introduced to improve SfM. The surface reconstructing procedure mainly consists of image acquisition, feature point detection, sparse reconstruction, and dense reconstruction. Hereafter, the proposed method was verified by three experiments. Experiment 1 showed that this method effectively reconstructed the rock mass model. Experiment 2 proved the advanced accuracy of the improved SfM compared with the traditional one in reconstructing the rock mass surface. Eventually, in Experiment 3, the surface deformation of rock mass was quantified through reconstructing images before and after the disturbance. All results have shown that the proposed method could provide reliable information in rock mass surface reconstruction and deformation detection.
Highlights
Limited to the topographic and environmental conditions, projects in Southwest China that have been or are under construction are closely related to rock masses, for example, tunnel engineering, slope engineering, and foundation engineering
Rock mass surface deformation detection is of great significance in the safety management of a construction project, which could even predict an initial danger of rock engineering to some extent
The SfM, an algorithm of 3D reconstruction based on various unordered images, is introduced to reconstruct the surface of rock mass with multiple images acquired at close range
Summary
Limited to the topographic and environmental conditions, projects in Southwest China that have been or are under construction are closely related to rock masses, for example, tunnel engineering, slope engineering, and foundation engineering. Much work has been done to evaluate the properties of rock engineering by analyzing the mechanics and failure characteristics of rock masses [1,2]. The surface deformation analysis of the rock masses could provide useful information to understand the failure mechanism and stability [3,4]. Rock mass surface deformation detection is of great significance in the safety management of a construction project, which could even predict an initial danger of rock engineering to some extent. This study is going to explore a rapid method of the rock mass surface three-dimensional (3D) reconstruction for surface deformation detection in a close range
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