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

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dc.contributor.authorKaloop, Mosbeh R.
dc.contributor.authorYiğit, Cemal Özer
dc.contributor.authorHu, Jong W.
dc.date.accessioned2025-10-29T11:30:26Z
dc.date.issued2018
dc.departmentFakülteler, Mühendislik Fakültesi, Harita Mühendisliği Bölümü
dc.description.abstractRecently, 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. (C) 2018 Published by Elsevier Ltd on behalf of COSPAR.
dc.description.sponsorshipIncheon National University (INU)
dc.description.sponsorshipThis work was supported by a 2017 Incheon National University (INU) Research Grant. The authors gratefully acknowledge these supports.
dc.identifier.doi10.1016/j.asr.2018.01.005
dc.identifier.endpage1524
dc.identifier.issn0273-1177
dc.identifier.issn1879-1948
dc.identifier.issue6
dc.identifier.orcid0000-0002-1942-7667
dc.identifier.scopus2-s2.0-85041214834
dc.identifier.scopusqualityQ1
dc.identifier.startpage1512
dc.identifier.urihttps://doi.org/10.1016/j.asr.2018.01.005
dc.identifier.urihttps://hdl.handle.net/20.500.14854/11544
dc.identifier.volume61
dc.identifier.wosWOS:000428496900011
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Sci Ltd
dc.relation.ispartofAdvances in Space Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectGNSS-PPP
dc.subjectWavelet
dc.subjectNeural networks
dc.subjectStructural dynamics
dc.titleAnalysis of the dynamic behavior of structures using the high-rate GNSS-PPP method combined with a wavelet-neural model: Numerical simulation and experimental tests
dc.typeArticle

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