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dc.contributor.authorKaloop, Mosbeh
dc.contributor.authorYigit, Cemal
dc.contributor.authorEl-Mowafy, Ahmed
dc.contributor.authorBezcioglu, M.
dc.contributor.authorHu, J.
dc.date.accessioned2020-10-14T13:10:41Z
dc.date.available2020-10-14T13:10:41Z
dc.date.issued2020
dc.identifier.citationKaloop, M. and Yigit, C. and El-Mowafy, A. and Bezcioglu, M. and Hu, J. 2020. Evaluation of Multi-GNSS High-rate Relative Positioning for Monitoring Dynamic Structural Movements in the Urban Environment. J. of Geomatics, Natural Hazards and Risk. : pp. 1-19.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/81430
dc.identifier.doi10.1080/19475705.2020.1836040
dc.description.abstract

Nowadays, the high rate GNSS (Global Navigation Satellite System) methods have been widely used as a complimentary tool to other geotechnical sensors, such as accelerometer, seismometer, inertial measurement unit (IMU), to evaluate dynamic displacement responses of engineering structures. However, the most common problem in structural health monitoring (SHM) is the structural elements and other structures surrounding the GNSS receiver, which is attached on an engineering structure, causes noise and multipath errors in GNSS observations. Since high-rise buildings in metropolitan cities are close to each other, and long span bridges have many cables, pylons and passing vehicles, noise and multipath error in GNSS observations are inevitable while monitoring such flexible structures. Unlike other errors like atmospheric errors which can be mostly reduced or modeled, multipath error are the largest remaining unmanaged error sources. The high noise levels of high-rate GNSS solutions limit their structural monitoring application for detecting load-induced, such as earthquake, wind, etc., semi-static and dynamic displacements. This study investigates to estimate accurate dynamic characteristics (frequency and amplitude) of noisy, including multipath errors, structural or seismic motions that obtained by high rate GNSS relative and PPP (Precise Point Positioning) solutions. To do this, a novel hybrid model, hybrid wavelet-based multiscale principal component analysis (MSPCA) and wavelet transform (MSPCAW), is designed to extract the amplitude and frequency of both relative and PPP-derived displacement motions. A shaking table that 10 Hz GNSS is attached on and set up close to a building is used to generate various amplitudes and frequencies of harmonic motions. In addition, 50 Hz linear variable differential transformer (LVDT) observations are collected to verify the MSMPCAW model and compare the results. The results show that the MSPCAW can be used to extract the dynamic characteristics of noisy dynamic movements under seismic loads. Furthermore, the dynamic behavior of seismic motions can be extracted accurately using GNSS-PPP; the dominant frequency is equal that extracted by LVDT and relative GNSS, and the amplitude accuracy approaches 91.5% relatively to LVDT observations.

dc.languageEnglish
dc.subject0909 - Geomatic Engineering
dc.titleEvaluation of Multi-GNSS High-rate Relative Positioning for Monitoring Dynamic Structural Movements in the Urban Environment
dc.typeJournal Article
dcterms.source.startPage1
dcterms.source.endPage19
dcterms.source.titleJ. of Geomatics, Natural Hazards and Risk
dc.date.updated2020-10-14T13:10:38Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusIn process
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidEl-Mowafy, Ahmed [0000-0001-7060-4123]
curtin.contributor.scopusauthoridEl-Mowafy, Ahmed [7004059531]


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