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Visual Identity-Based Earthquake Ground Displacement Testing Method
Joint Authors
Li, Xiaojun
Chen, Su
Sicheng, Zhao
Zhijun, Dai
Yue, Zhou
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-02
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Ground deformation observation is wildly concerned in the field of earthquake engineering.
This paper proposes a high-precision displacement measurement technology based on both computer vision and numerical simulation.
During the earthquake, the vision-based testing system collects visual data of the target installed on the location to be observed.
The visual data streams can be quantified to the dynamic relative displacement value automatically, by employing mathematical vision algorithms and then by taking the relative displacement as an intermediate quantity, which is brought into the numerical model for iteration.
When the test result is close to the simulated one, the absolute ground displacement data could be obtained approximately.
A series of experiments have been carried out to suggest that the proposed method presents an innovative and low-cost solution to ground measurement in high accuracy.
The method not only realizes the real-time ground deformation observation; moreover, it also provides a wider range of reliable data support to understand deformation mechanism, investigate seismic source information, and recognize the ground motion characteristics.
American Psychological Association (APA)
Chen, Su& Sicheng, Zhao& Zhijun, Dai& Li, Xiaojun& Yue, Zhou. 2019. Visual Identity-Based Earthquake Ground Displacement Testing Method. Shock and Vibration،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1211051
Modern Language Association (MLA)
Chen, Su…[et al.]. Visual Identity-Based Earthquake Ground Displacement Testing Method. Shock and Vibration No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1211051
American Medical Association (AMA)
Chen, Su& Sicheng, Zhao& Zhijun, Dai& Li, Xiaojun& Yue, Zhou. Visual Identity-Based Earthquake Ground Displacement Testing Method. Shock and Vibration. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1211051
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211051