Wind Load and Structural Parameters Estimation from Incomplete Measurements
The extended minimum variance unbiased estimation approach can be used for joint state/parameter/input estimation based on the measured structural responses. However, it is necessary to measure the structural displacement and acceleration responses at each story for the simultaneous identification o...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2019/4862983 |
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| _version_ | 1832563693505740800 |
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| author | Huili Xue Hongjun Liu Huayi Peng Yin Luo Kun Lin |
| author_facet | Huili Xue Hongjun Liu Huayi Peng Yin Luo Kun Lin |
| author_sort | Huili Xue |
| collection | DOAJ |
| description | The extended minimum variance unbiased estimation approach can be used for joint state/parameter/input estimation based on the measured structural responses. However, it is necessary to measure the structural displacement and acceleration responses at each story for the simultaneous identification of structural parameters and unknown wind load. A novel method of identifying structural state, parameters, and unknown wind load from incomplete measurements is proposed. The estimation is performed in a modal extended minimum variance unbiased manner, based on incomplete measurements of wind-induced structural displacement and acceleration responses. The feasibility and accuracy of the proposed method are numerically validated by identifying the wind load and structural parameters on a ten-story shear building structure with incomplete measurements. The effects of crucial factors, including sampling duration and the number of measurements, are discussed. Furthermore, the practical application of the developed inverse method is evaluated based on wind tunnel testing results of a 234 m tall building structure. The results indicate that the structural state, parameters, and unknown wind load can be identified accurately using the proposed approach. |
| format | Article |
| id | doaj-art-306a9c38f6504b89808f1883989ac6e2 |
| 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-306a9c38f6504b89808f1883989ac6e22025-02-03T01:12:51ZengWileyShock and Vibration1070-96221875-92032019-01-01201910.1155/2019/48629834862983Wind Load and Structural Parameters Estimation from Incomplete MeasurementsHuili Xue0Hongjun Liu1Huayi Peng2Yin Luo3Kun Lin4Department of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, ChinaDepartment of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, ChinaDepartment of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, ChinaDepartment of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, ChinaDepartment of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen 518055, ChinaThe extended minimum variance unbiased estimation approach can be used for joint state/parameter/input estimation based on the measured structural responses. However, it is necessary to measure the structural displacement and acceleration responses at each story for the simultaneous identification of structural parameters and unknown wind load. A novel method of identifying structural state, parameters, and unknown wind load from incomplete measurements is proposed. The estimation is performed in a modal extended minimum variance unbiased manner, based on incomplete measurements of wind-induced structural displacement and acceleration responses. The feasibility and accuracy of the proposed method are numerically validated by identifying the wind load and structural parameters on a ten-story shear building structure with incomplete measurements. The effects of crucial factors, including sampling duration and the number of measurements, are discussed. Furthermore, the practical application of the developed inverse method is evaluated based on wind tunnel testing results of a 234 m tall building structure. The results indicate that the structural state, parameters, and unknown wind load can be identified accurately using the proposed approach.http://dx.doi.org/10.1155/2019/4862983 |
| spellingShingle | Huili Xue Hongjun Liu Huayi Peng Yin Luo Kun Lin Wind Load and Structural Parameters Estimation from Incomplete Measurements Shock and Vibration |
| title | Wind Load and Structural Parameters Estimation from Incomplete Measurements |
| title_full | Wind Load and Structural Parameters Estimation from Incomplete Measurements |
| title_fullStr | Wind Load and Structural Parameters Estimation from Incomplete Measurements |
| title_full_unstemmed | Wind Load and Structural Parameters Estimation from Incomplete Measurements |
| title_short | Wind Load and Structural Parameters Estimation from Incomplete Measurements |
| title_sort | wind load and structural parameters estimation from incomplete measurements |
| url | http://dx.doi.org/10.1155/2019/4862983 |
| work_keys_str_mv | AT huilixue windloadandstructuralparametersestimationfromincompletemeasurements AT hongjunliu windloadandstructuralparametersestimationfromincompletemeasurements AT huayipeng windloadandstructuralparametersestimationfromincompletemeasurements AT yinluo windloadandstructuralparametersestimationfromincompletemeasurements AT kunlin windloadandstructuralparametersestimationfromincompletemeasurements |