2022
DOI: 10.3390/sym14122505
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Automatic Identification and Intelligent Optimization of Tunnel-Free Curve Reconfiguration

Abstract: Extracting complete cross-sectional geometric features from the large amount of point cloud data acquired by laser scanners plays an important part in the detection of deformations in tunnel inspection projects. Tunnel cross-sections have symmetrical geometric features, and information is traditionally collected manually. The traditional manual extraction of point clouds is inefficient and limited by the subjectivity of the operators when addressing the problems. This paper proposes a new algorithm for the aut… Show more

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Cited by 4 publications
(1 citation statement)
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“…A finite element model is established based on the soft soil layers and segment patterns of Shanghai Metro Line 5, and the applicability of the model is verified by calculating deformations using three-dimensional laser scanning point clouds of sections from Shanghai Metro Line 5. The method for processing point clouds is based on the author's previous research [27][28][29]. Suitable subgrade reaction coefficients and lateral pressure coefficients are determined by adjusting the bending stiffness of the beam-spring model's connection springs for ring segment joints.…”
Section: Introductionmentioning
confidence: 99%
“…A finite element model is established based on the soft soil layers and segment patterns of Shanghai Metro Line 5, and the applicability of the model is verified by calculating deformations using three-dimensional laser scanning point clouds of sections from Shanghai Metro Line 5. The method for processing point clouds is based on the author's previous research [27][28][29]. Suitable subgrade reaction coefficients and lateral pressure coefficients are determined by adjusting the bending stiffness of the beam-spring model's connection springs for ring segment joints.…”
Section: Introductionmentioning
confidence: 99%