Visual Identity-Based Earthquake Ground Displacement Testing Method
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 t...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2019/2585423 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832553992080588800 |
|---|---|
| author | Chen Su Zhao Sicheng Dai Zhijun Li Xiaojun Zhou Yue |
| author_facet | Chen Su Zhao Sicheng Dai Zhijun Li Xiaojun Zhou Yue |
| author_sort | Chen Su |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-05fa3cc1453e45f4b0c3fa8b201299aa |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-05fa3cc1453e45f4b0c3fa8b201299aa2025-02-03T05:52:32ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/25854232585423Visual Identity-Based Earthquake Ground Displacement Testing MethodChen Su0Zhao Sicheng1Dai Zhijun2Li Xiaojun3Zhou Yue4Institute of Geophysics, China Earthquake Administration, Beijing 100081, ChinaCollege of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100022, ChinaInstitute of Geophysics, China Earthquake Administration, Beijing 100081, ChinaInstitute of Geophysics, China Earthquake Administration, Beijing 100081, ChinaInstitute of Geophysics, China Earthquake Administration, Beijing 100081, ChinaGround 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.http://dx.doi.org/10.1155/2019/2585423 |
| spellingShingle | Chen Su Zhao Sicheng Dai Zhijun Li Xiaojun Zhou Yue Visual Identity-Based Earthquake Ground Displacement Testing Method Shock and Vibration |
| title | Visual Identity-Based Earthquake Ground Displacement Testing Method |
| title_full | Visual Identity-Based Earthquake Ground Displacement Testing Method |
| title_fullStr | Visual Identity-Based Earthquake Ground Displacement Testing Method |
| title_full_unstemmed | Visual Identity-Based Earthquake Ground Displacement Testing Method |
| title_short | Visual Identity-Based Earthquake Ground Displacement Testing Method |
| title_sort | visual identity based earthquake ground displacement testing method |
| url | http://dx.doi.org/10.1155/2019/2585423 |
| work_keys_str_mv | AT chensu visualidentitybasedearthquakegrounddisplacementtestingmethod AT zhaosicheng visualidentitybasedearthquakegrounddisplacementtestingmethod AT daizhijun visualidentitybasedearthquakegrounddisplacementtestingmethod AT lixiaojun visualidentitybasedearthquakegrounddisplacementtestingmethod AT zhouyue visualidentitybasedearthquakegrounddisplacementtestingmethod |