The application of time series analysis to describe the dynamic movements of suspension bridges

Erdoğan, Hidayet Metin; Gülal, Engīn

doi:10.1016/j.nonrwa.2007.11.013

Cited by 25 publications

(23 citation statements)

References 8 publications

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“…The z direction power spectrum in low and high frequencies are higher than x and y directions. It means that the high and low frequencies reflected the expected movements of the bridge (Erdogan and Gulal, 2009). The frequency modes of the structure can be extracted from dynamic displacement, as shown in Fig.…”

Section: Resultsmentioning

confidence: 96%

“…The transformation of the time series observations from the time domain to the frequency domain is performed by applying the Fast Fourier Transform (FFT) (Erdogan and Gulal, 2009;Kaloop and Kim, 2014b). In addition, the power spectrums for the low and high frequencies components of the time series were calculated.…”

Section: Gps Displacement Frequency Identificationmentioning

confidence: 99%

“…Berber et al (2012) introduced the GPS methodology observations techniques and studied the accuracy of different techniques. Sci., 8 (4): 114-126, 2015 Configuring reactions of engineering structures in a time domain as functions of time are generally inadequate for certain applications and frequency domain analysis has been successfully applied to several large scale structures (Erdogan and Gulal, 2009). Moschas and Stiros (2013) concluded that the frequency range 0.4~5.0 Hz covers a wide variety of dynamic displacement component and frequency range 0~0.4 Hz corresponds to semi-static displacement component.…”

Section: Introductionmentioning

confidence: 99%

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GPS-Monitoring and Assessment of Mansoura Railway Steel-Bridge Based on Filter and Wavelet Methods

Elbeltagi¹,

Kaloop²,

Elnabwy³

2015

Asian J. of Earth Sciences

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This study presents Mansoura steel railway bridge, Egypt, movement analysis in response to passing trains. This bridge was used for two types of traffics which are trains on the middle and one vehicle lane on each side of the bridge. A monitoring system is designed based on the Real Time Kinematic Global Positioning System (RTK-GPS) to monitor and assess the bridge behaviour and movements under the effect of trains' loads. Two methods are used to de-noise the GPS data, which are moving average filter (FM) and Wavelet Transform (WT). In addition; the wavelet decomposition is used to classify the noise effects. The time and frequency domain GPS observation analysis results are discussed and the results showed that the bridge is safe under affected train loads in time and frequency domain. Also, it can be concluded that the WT can be used to filter the GPS monitoring data but can't be used to extract the dynamic frequencies. Otherwise, the multiple filters are more suitable method to extract dynamic frequencies for the low sampling GPS frequency instruments.

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Section: Resultsmentioning

confidence: 96%

Section: Gps Displacement Frequency Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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GPS-Monitoring and Assessment of Mansoura Railway Steel-Bridge Based on Filter and Wavelet Methods

Elbeltagi¹,

Kaloop²,

Elnabwy³

2015

Asian J. of Earth Sciences

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“…Kim applies time series analysis to investigate whether the groundwater quality in the coastal area is affected by the tide [8]. Erdoрan also applies time series analysis to describe the dynamic movements of suspension bridges [9].…”

Section: �� mentioning

confidence: 99%

Use of time series models to forecast the evolution of corrosion pit in steel rebars

Xu¹

2016

Funct.Mater.

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This paper presents the time series method to forecast the evolution of pitting depth in corroded reinforcing steel bars. Basic time series analysis models are introduced, and the method for establishing the autoregressive integrated moving average (ARIMA) model is described through an example. Based on ARIMA model, the pitting depth in reinforcing steel bars under two different corrosion environments is predicted. The results show that ARIMA model can describe the variation tendency of pitting depth in corroded reinforcing steel bars quantitatively. The predicted values and the observed ones are in good conformity.Keywords: time series analysis, autoregressive integrated moving average model, pitting evolution, steel rebars.Представлен метод временных рядов для прогнозирования развития повреждений в проржавевших армирующих стальных стержнях. Определены базовые модели анализа временных рядов. Метод для установления авторегрессии интегрированный скользящей средней модели (ARIMA) описывается на примере. На основе модели ARIMA, прогнозируется глубина точечной коррозии в армирующих стальных стержнях в двух различных средах. Результаты показывают, что ARIMA модель может описать качественно и количественно различные тенденции глубины повреждений в проржавевших армирующих стальных стержнях. Прогнозируемые значения и наблюдаемые находятся в хорошем соответствии.Використання моделей тимчасових рядів для прогнозування еволюції корозією в сталевих арматурних прутках. Сюй Ідон У роботі представлений метод часових рядів для прогнозування розвитку глибини іржавіння в кородованих армуючих сталевих стрижнях. Представлені основні моделі аналізу часових рядів і описаний на прикладі метод створення моделі авторегресивного інтегрованого рухомого середнього (ARIMA). На основі моделі ARIMA передбачена глибина іржавіння в армуючих сталевих стрижнях в двох різних кородуючих середовищах. Результати показують, що модель ARIMA може кількісно описувати тенденції зміни глибини іржавіння в кородованих армуючих сталевих стрижнях. Передбачені значення знаходяться в хорошій згоді із тими, що спостерігалися. �� Structure deterioration induced by corrosion of reinforcing bars is one of the major problems in reinforced concrete structures. How to forecast the pitting depth of corroded reinforcing bars are problems of current research. Owing to the discreteness and transient behavior of steel corrosion, it is difficult to track the complete process of pitting depth evolution.The quantitative evaluation of pitting depth evolution mainly depends on the actual measurement of pitting depth at different position, which belongs to post-operation analysis. Present studies indicate that lots of factors, such as environment, stress state and service time, can influence the characteristics of steel corrosion [1,2]. It is difficult to establish an effective theoretical model for pitting depth evolution.

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“…Particularly, for tectonic studies, GNSS based geodynamic projects were developed at a regional level. We can refer the works from (Larsen and Reilinger, 1992) in the California region, (Straub and Kahle, 1995; in the Mediterranean area, (Miyazaki et al, 1996) in Japan and (Erdoğan et al, 2009;Eren et al, 2009; in Turkey. In parallel, projects with a broader geographical (intercontinental) scope also started to be developed.…”

Section: Introductionmentioning

confidence: 99%

Research of behaviors of continuous GNSS station by signal analysis methods

Oktar¹,

Erdoğan²

2018

Earth sci. res. j.

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Continuously Operating Reference Station (CORS) networks consisting of multiple GNSS systems have been set up and operating in many developed countries. In Turkey, CORS-TR has been operating. The aim of CORS-TR is fast, correct, and reliable collection of all kinds of geographic data, thus, speeding up the activities of cadastre, assuring organized urbanization, constituting the spatial infrastructure for relevant works of e-government, and monitoring plate tectonics. Therefore, in this paper, we investigated 788 days of linear and periodic of AKHR, BEYS, CIHA, KAMN, YUNA, AKSI and KNYA CORS-TR stations by linear trend analysis and Wavelet Transform in located in the Central Anatolia Region of Turkey. As a result of trend analyses of time series it was determined that with the exception of a single station (KAMN), other stations were moving in the Southwest direction (17.78 mm/year). This finding is in consistency with the region's tectonic plate movements. In the periodical analyses, stations' daily, monthly, seasonal, annual and even biennial movements resulting from atmospheric and hydrologic loading, climatic and other effects was revealed. Moreover, Detail (D) component, which protect the largest percentage of energy, was determined by calculating the energy spectrum. Energies of detail components are generally similar in horizontal and especially D7-D8 have the highest energy. However, the components obtained the maximum energy was varied in Up coordinate time series. These results indicate that stations of CORS-TR network located in Central Anatolia were rather stable and able to be providing reliable, accurate and continuous data for national and international studies to be conducted in many fields Las redes de Estaciones de Referencia de Operación Continua (CORS) conformadas por el Sistema Satelital de Navegación Global (GNSS) se han establecido y están operando en muchos países desarrollados. En Turquía este proyecto se conoce como CORS-TR y tiene el objetivo de hacer una recopilación rápida, correcta y confiable de todo tipo de información geográfica, y por lo tanto de agilizar la actividades de catastro, garantizar la urbanización organizada, constituir la infraestructura espacial de los trabajos relevantes de gobierno electrónico y monitorizar las placas tectónicas. Además, en este artículo se analizó la información lineal y periódica durante 788 días en las estaciones AKHR, BEYS, CIHA, KAMN, YUNA, AKSI y KNYA a través del Análisis de Tendencia Lineal y el método de Transformación por Ondículas para la Región Central de Anatolia en Turquía. A través del análisis de tendencias en series de tiempo se determinó que, excepto KAMN, todas las estaciones se movieron en la dirección suroccidente (17.78 mm/año). Este hallazgo es consistente con los movimientos de las placas tectónicas de la región. En los análisis periódicos se revelaron entre otros los efectos climáticos a partir de los movimientos diarios, mensuales, estacionales, anuales e incluso bianuales de las estaciones por la carga atmosférica e hid...

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The application of time series analysis to describe the dynamic movements of suspension bridges

Cited by 25 publications

References 8 publications

GPS-Monitoring and Assessment of Mansoura Railway Steel-Bridge Based on Filter and Wavelet Methods

GPS-Monitoring and Assessment of Mansoura Railway Steel-Bridge Based on Filter and Wavelet Methods

Use of time series models to forecast the evolution of corrosion pit in steel rebars

Research of behaviors of continuous GNSS station by signal analysis methods

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