Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests
© 2018 Recently, the high rate global navigation satellite system-precise point positioning (GNSS-PPP) technique has been used to detect the dynamic behavior of structures. This study aimed to increase the accuracy of the extraction oscillation properties of structural movements based on the high-ra...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Elsevier Ltd
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/72651 |
| _version_ | 1848762807399481344 |
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| author | Kaloop, M. Yigit, Cemal Ozer Hu, J. |
| author_facet | Kaloop, M. Yigit, Cemal Ozer Hu, J. |
| author_sort | Kaloop, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 Recently, the high rate global navigation satellite system-precise point positioning (GNSS-PPP) technique has been used to detect the dynamic behavior of structures. This study aimed to increase the accuracy of the extraction oscillation properties of structural movements based on the high-rate (10 Hz) GNSS-PPP monitoring technique. A developmental model based on the combination of wavelet package transformation (WPT) de-noising and neural network prediction (NN) was proposed to improve the dynamic behavior of structures for GNSS-PPP method. A complicated numerical simulation involving highly noisy data and 13 experimental cases with different loads were utilized to confirm the efficiency of the proposed model design and the monitoring technique in detecting the dynamic behavior of structures. The results revealed that, when combined with the proposed model, GNSS-PPP method can be used to accurately detect the dynamic behavior of engineering structures as an alternative to relative GNSS method. |
| first_indexed | 2025-11-14T10:53:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-72651 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:53:26Z |
| publishDate | 2018 |
| publisher | Elsevier Ltd |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-726512018-12-13T09:32:17Z Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests Kaloop, M. Yigit, Cemal Ozer Hu, J. © 2018 Recently, the high rate global navigation satellite system-precise point positioning (GNSS-PPP) technique has been used to detect the dynamic behavior of structures. This study aimed to increase the accuracy of the extraction oscillation properties of structural movements based on the high-rate (10 Hz) GNSS-PPP monitoring technique. A developmental model based on the combination of wavelet package transformation (WPT) de-noising and neural network prediction (NN) was proposed to improve the dynamic behavior of structures for GNSS-PPP method. A complicated numerical simulation involving highly noisy data and 13 experimental cases with different loads were utilized to confirm the efficiency of the proposed model design and the monitoring technique in detecting the dynamic behavior of structures. The results revealed that, when combined with the proposed model, GNSS-PPP method can be used to accurately detect the dynamic behavior of engineering structures as an alternative to relative GNSS method. 2018 Journal Article http://hdl.handle.net/20.500.11937/72651 10.1016/j.asr.2018.01.005 Elsevier Ltd restricted |
| spellingShingle | Kaloop, M. Yigit, Cemal Ozer Hu, J. Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests |
| title | Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests |
| title_full | Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests |
| title_fullStr | Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests |
| title_full_unstemmed | Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests |
| title_short | Analysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests |
| title_sort | analysis of the dynamic behavior of structures using the high-rate gnss-ppp method combined with a wavelet-neural model: numerical simulation and experimental tests |
| url | http://hdl.handle.net/20.500.11937/72651 |