Building Earthquake Damage Analysis Using Terrestrial Laser Scanning Data
Terrestrial laser scanners (TLSs) can acquire high-precision three-dimensional point cloud data for earthquake-damaged buildings. In this study, we collected TLS data in the Wenchuan earthquake zone and developed the TLS-BSAM (terrestrial laser scanning-based building shape analysis model) to carry...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2019/8308104 |
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| author | Qisong Jiao Hongbo Jiang Qiang Li |
| author_facet | Qisong Jiao Hongbo Jiang Qiang Li |
| author_sort | Qisong Jiao |
| collection | DOAJ |
| description | Terrestrial laser scanners (TLSs) can acquire high-precision three-dimensional point cloud data for earthquake-damaged buildings. In this study, we collected TLS data in the Wenchuan earthquake zone and developed the TLS-BSAM (terrestrial laser scanning-based building shape analysis model) to carry out a building earthquake damage analysis. This model involves equidistance polygon array extraction, shape dispersion parameter calculations, irregular building clustering segmentation, and damage analysis. We chose 21 buildings as samples for the experiments. The results show that when using an equidistance polygon array to depict a three-dimensional building, 0.5 m is a reasonable sampling interval for building earthquake damage analysis. Using certain characteristic parameters to carry out K-means clustering, one can efficiently divide irregular buildings into regular blocks. Then, by weighted averages, the shape dispersion parameters can be calculated to express the damage extent to buildings. Among the shape dispersion parameters, at least the weighted average standard deviations of the tilt direction, rectangularity, compactness, and center point are suitable to reflect the damage extent. Higher values reflect more serious damage. On the basis of existing data, the weighted average standard deviations of the tilt direction and center point can be used to establish discriminant functions that can effectively distinguish the damage extent. |
| format | Article |
| id | doaj-art-7dd054d85d1d441a85f9dfbc2a183fc9 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-7dd054d85d1d441a85f9dfbc2a183fc92025-02-03T05:43:40ZengWileyAdvances in Civil Engineering1687-80861687-80942019-01-01201910.1155/2019/83081048308104Building Earthquake Damage Analysis Using Terrestrial Laser Scanning DataQisong Jiao0Hongbo Jiang1Qiang Li2Institute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, ChinaInstitute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, ChinaInstitute of Crustal Dynamics, China Earthquake Administration, Beijing 100085, ChinaTerrestrial laser scanners (TLSs) can acquire high-precision three-dimensional point cloud data for earthquake-damaged buildings. In this study, we collected TLS data in the Wenchuan earthquake zone and developed the TLS-BSAM (terrestrial laser scanning-based building shape analysis model) to carry out a building earthquake damage analysis. This model involves equidistance polygon array extraction, shape dispersion parameter calculations, irregular building clustering segmentation, and damage analysis. We chose 21 buildings as samples for the experiments. The results show that when using an equidistance polygon array to depict a three-dimensional building, 0.5 m is a reasonable sampling interval for building earthquake damage analysis. Using certain characteristic parameters to carry out K-means clustering, one can efficiently divide irregular buildings into regular blocks. Then, by weighted averages, the shape dispersion parameters can be calculated to express the damage extent to buildings. Among the shape dispersion parameters, at least the weighted average standard deviations of the tilt direction, rectangularity, compactness, and center point are suitable to reflect the damage extent. Higher values reflect more serious damage. On the basis of existing data, the weighted average standard deviations of the tilt direction and center point can be used to establish discriminant functions that can effectively distinguish the damage extent.http://dx.doi.org/10.1155/2019/8308104 |
| spellingShingle | Qisong Jiao Hongbo Jiang Qiang Li Building Earthquake Damage Analysis Using Terrestrial Laser Scanning Data Advances in Civil Engineering |
| title | Building Earthquake Damage Analysis Using Terrestrial Laser Scanning Data |
| title_full | Building Earthquake Damage Analysis Using Terrestrial Laser Scanning Data |
| title_fullStr | Building Earthquake Damage Analysis Using Terrestrial Laser Scanning Data |
| title_full_unstemmed | Building Earthquake Damage Analysis Using Terrestrial Laser Scanning Data |
| title_short | Building Earthquake Damage Analysis Using Terrestrial Laser Scanning Data |
| title_sort | building earthquake damage analysis using terrestrial laser scanning data |
| url | http://dx.doi.org/10.1155/2019/8308104 |
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