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Your search keyword '"Ying, Chunli"' showing total 16 results
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16 results on '"Ying, Chunli"'

12. Mechanical state inversion method for structural performance evaluation of existing suspension bridges using 3D laser scanning.

Author

Zhou, Yin, Xiang, Zhongfu, Zhang, Xuesong, Wang, Yue, Han, Daguang, and Ying, Chunli

Subjects
SUSPENSION bridges, LASERS, CATENARY, MATHEMATICAL models, OPTICAL scanners
Abstract

The abnormal mechanicalstate will cause the structural performance degradation of a suspension bridge. This paper presents a mechanical state inversion method for suspension bridges based on the measured intersection points of main cables using 3D laser scanning. First, based on the catenary, the mathematical model between the suspender force and the measured intersection points coordinates is established, and an accurate calculation method of suspender force is proposed. Then, an accurate calculation method for the internal force of suspension bridge components with abnormal suspender force is proposed to evaluate the structural performance. Numerical experiments show that the proposed method is accurate in theory. Finally, 3D laser scanning is used to capture the shape of the main cable, and an automated algorithm is developed to calculate the intersection point of the main cables precisely. The accuracy and reliability of the proposed method have been verified on a completed suspension bridge with a span of 808 m. [ABSTRACT FROM AUTHOR]

Published
2022
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15. Automatic Detection Method for Large-Volume Embedded Parts Based on Laser Scanning

Author

Kaixin Hu, Fan Hongbo, Lupeng Yan, Xingyi Hu, Daguang Han, and Ying Chunli

Subjects
Optics, Materials science, Laser scanning, business.industry, business, Volume (compression)
Abstract

The embedded part (EMP) is a structural form in a building and plays an important role in the fixation of a structural or a non-structural member. After the initial installation, the popular detection method of the EMPs is to use the total station for single-point diagnosis. Due to the difficulties in point-by-point measurement and feature points selecting, it is sophisticated to ensure accuracy and efficiency in the detection process of large-scale EMPs. In order to solve the above issues, this paper proposes an automatic panel detection method for EMPs: (1) 3D laser scanning is used to obtain the actual coordinates of EMPs; (2) Developed algorithm is made to match the coordinates between design and measured data to calculate construction error; (3) Further use of the optimization algorithm to adjust the attitude of the point cloud, minimize the construction error and give the adjustment guidance of EMPs. A case study indicates that the efficiency is improved by about five times compared to the total station technique, and the number of EMPs need to be adjusted is greatly reduced. This method is of great significance for the high-volume component precision installation project.

Published
2020

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