Bridge safety monitoring based-GPS technique: case study Zhujiang Huangpu Bridge

Kaloop, Mosbeh R. Techno-Press 2012 Smart Structures and Systems, An International Jou Vol.9 No.6

GPS has become an established technique in structural health monitoring. This paper presents the application of an on-line GPS RTK system on the Zhujiang Huangpu Bridge (China) for monitoring bridge deck and towers movements. In this study, both the form and functions of movements of the deck and towers of the bridge under affecting loads were monitored in lateral, longitudinal and vertical directions. Such movements were described in time and frequency domains by determining the trend, torsion, periodical of the series using probability density function (PDF). The results of the time series GPS data are practical and useful to bridge health monitoring.

Bridge safety monitoring based-GPS technique: case study Zhujiang Huangpu Bridge

Mosbeh R. Kaloop 국제구조공학회 2012 Smart Structures and Systems, An International Jou Vol.9 No.6

GPS has become an established technique in structural health monitoring. This paper presents the application of an on-line GPS RTK system on the Zhujiang Huangpu Bridge (China) for monitoring bridge deck and towers movements. In this study, both the form and functions of movements of the deck and towers of the bridge under affecting loads were monitored in lateral, longitudinal and vertical directions. Such movements were described in time and frequency domains by determining the trend, torsion, periodical of the series using probability density function (PDF). The results of the time series GPS data are practical and useful to bridge health monitoring.

Monitoring of Bridge Deformation Using GPS Technique

Mosbeh R. Kaloop,Hui Li 대한토목학회 2009 KSCE JOURNAL OF CIVIL ENGINEERING Vol.13 No.6

Tianjin Yonghe Bridge is one of the important infrastructures in China where it serves as the crucial links in the transport network. Monitoring and maintenance of this bridge are essential tasks in prolonging its life. In this paper, GPS system was used for deformation data collection. Two analytical methods namely; Kalman Filter (KF) and Parametric Least Square (PLS) were used for the adjustment of these data. The analysis of test results indicate that: (1) the traffic loads are the main factor affects bridge damage, (2) after ten months of traffic opening, the south tower of bridge was returned to its original case, and (3) the maximum deformation was pronounced 48.2 m far from the beginning abutment after six months of bridge opening. Tianjin Yonghe Bridge is one of the important infrastructures in China where it serves as the crucial links in the transport network. Monitoring and maintenance of this bridge are essential tasks in prolonging its life. In this paper, GPS system was used for deformation data collection. Two analytical methods namely; Kalman Filter (KF) and Parametric Least Square (PLS) were used for the adjustment of these data. The analysis of test results indicate that: (1) the traffic loads are the main factor affects bridge damage, (2) after ten months of traffic opening, the south tower of bridge was returned to its original case, and (3) the maximum deformation was pronounced 48.2 m far from the beginning abutment after six months of bridge opening.

Simple geometrical model to analyze the motion detection of bridges based-GPS technique: case study Yonghe Bridge

Mosbeh R. Kaloop,Hui Li 국제구조공학회 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.36 No.2

This study deals with the viability of using a designed geometrical model consists of plane, polar coordinates (PC) and span length in the determination of bridges deformation. The data of a Tianjin Yonghe bridge located in the southern part of China as collected by RTK-DGPS technique and Accelerometer were used in the analysis. Kalman filter and fast Fourier transformation (FFT) analyses were used to determine the frequency. The results indicate that the designed plane and PC geometrical model are easy to calculate the long-time structural deformation monitoring. In addition, the observed frequency using GPS with the rate of 20 Hz doesn’t give correction natural frequency of the observation structures.

Performance Analysis of Bridge using Structural Health Monitoring: Seong-Su Bridge Case-study

Kaloop, Mosbeh R.,Ban, Woo Hyun,Hu, Jong Wan Urban Science Institute 2019 도시과학 Vol.8 No.1

The performance evaluation of existing structures is important to study the safety of those structures with changing the loads over the lifetime of structures. Therefore, this study aims at evaluating the Seong-Su bridge, Seoul, Korea, using structural health monitoring (SHM) system. The static and dynamic tests are used to assess the behavior of the bridge. The statistical and wavelet analyses are used to demonstrate the behavior of the bridge in the time and frequency domains. The previous SHM results are used to assess the bridge performance. The results of this study show that the bridge performance under static and dynamic loads is safe in time and frequency domains.

Service-Life Evaluation of Existing Bridges Subjected to Static and Moving Trucks Using Structural Health Monitoring System: Case Study

Mosbeh R. Kaloop,김경호,Emad Elbeltagi,Xinghan Jin,허종완 대한토목학회 2020 KSCE Journal of Civil Engineering Vol.24 No.5

Nondestructive monitoring systems currently applied to evaluate existing bridges. This study aims to assess the service life of Yanghwa steel bridge, Seoul, Korea, using short period nondestructive structural health monitoring system due to static and moving trucks effects. Different static and dynamic loads were carried out to evaluate the bridge behavior though change trucks’ positions and speeds. The reliability index, neutral axis position, curvatures modal, and frequency and dynamic factor changes are extracted and evaluated. A novel similarity index is investigated, and the analysis of wavelet spectrum is applied to evaluate the bridge behavior. The results show that the bridge is safe using different indices, such as reliability, neutral axis, similarity performance, and curvature modal, dynamic factor and frequency changes. All these indices values are reported to be lower than the standard American Association of State Highway Officials (AASHTO) values and previous inspections, and no abnormal conditions are observed. The similarity index and wavelet spectrum analysis are found to be useful tools to estimate the similarity performance and to estimate the dominant frequency change of the bridge, respectively.

Simple geometrical model to analyze the motion detection of bridges based-GPS technique: case study Yonghe Bridge

Kaloop, Mosbeh R.,Li, Hui Techno-Press 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.36 No.2

This study deals with the viability of using a designed geometrical model consists of plane, polar coordinates (PC) and span length in the determination of bridges deformation. The data of a Tianjin Yonghe bridge located in the southern part of China as collected by RTK-DGPS technique and Accelerometer were used in the analysis. Kalman filter and fast Fourier transformation (FFT) analyses were used to determine the frequency. The results indicate that the designed plane and PC geometrical model are easy to calculate the long-time structural deformation monitoring. In addition, the observed frequency using GPS with the rate of 20 Hz doesn't give correction natural frequency of the observation structures.

Nondestructive tests for defections detection of nanoparticles in cement-based materials: A review

Kaloop, Mosbeh R.,Elrahman, Mohamed Abd,Hu, Jong Wan Techno-Press 2022 Advances in nano research Vol.12 No.1

To date, nondestructive tests (NDT) applications and advances in detecting the dispersion and defections of the nano concrete (NC) materials fields are very limited. The current paper provides a review of the dispersion efficiency of nanomaterials in cement-based materials and how NDT can be efficiently used in detecting and visualizing the defections and dispersions of NC. The review identifies the characteristics of different types of nanoparticles used in NC. Nanomaterials influences on concrete characteristics and their dispersion degree are presented and discussed. The main aim of this article is to present and compare the common NDT that can be used for detecting and visualizing the defections and dispersions of different kinds of nanomaterials utilized in NC. The different microscopy and X-ray methods are explicitly reviewed and compared. Based on the collected data, it can be concluded that the fully detecting and visualizing of NC defections and dispersions have not been fully discovered and that needs further investigations. So, the distinction of this paper lies in defining NDT that can be employed for detecting and/or visualizing NC defections and dispersions.

Estimation of lightweight aggregate concrete characteristics using a novel stacking ensemble approach

Kaloop, Mosbeh R.,Bardhan, Abidhan,Hu, Jong Wan,Abd-Elrahman, Mohamed Techno-Press 2022 Advances in nano research Vol.13 No.5

This study investigates the efficiency of ensemble machine learning for predicting the lightweight-aggregate concrete (LWC) characteristics. A stacking ensemble (STEN) approach was proposed to estimate the dry density (DD) and 28 days compressive strength (Fc-28) of LWC using two meta-models called random forest regressor (RFR) and extra tree regressor (ETR), and two novel ensemble models called STEN-RFR and STEN-ETR, were constructed. Four standalone machine learning models including artificial neural network, gradient boosting regression, K neighbor regression, and support vector regression were used to compare the performance of the proposed models. For this purpose, a sum of 140 LWC mixtures with 21 influencing parameters for producing LWC with a density less than 1000 kg/m³, were used. Based on the experimental results with multiple performance criteria, it can be concluded that the proposed STEN-ETR model can be used to estimate the DD and Fc-28 of LWC. Moreover, the STEN-ETR approach was found to be a significant technique in prediction DD and Fc-28 of LWC with minimal prediction error. In the validation phase, the accuracy of the proposed STEN-ETR model in predicting DD and Fc-28 was found to be 96.79% and 81.50%, respectively. In addition, the significance of cement, water-cement ratio, silica fume, and aggregate with expanded glass variables is efficient in modeling DD and Fc-28 of LWC.

Movement identification model of port container crane based on structural health monitoring system

Mosbeh R. Kaloop,Mohamed A. Sayed,김두기,김은성 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.50 No.1

This study presents a steel container crane movement analysis and assessment based onstructural health monitoring (SHM). The accelerometers are used to monitor the dynamic crane behavior anda 3-D finite element model (FEM) was designed to express the static displacement of the crane under thedifferent load cases. The multi-input single-output nonlinear autoregressive neural network with externalinput (NNARX) model is used to identify the crane dynamic displacements. The FEM analysis and theidentification model are used to investigate the safety and the vibration state of the crane in both time andfrequency domains. Moreover, the SHM system is used based on the FEM analysis to assess the cranebehavior. The analysis results indicate that: (1) the mean relative dynamic displacement can reveal therelative static movement of structures under environmental load; (2) the environmental load conditionsclearly affect the crane deformations in different load cases; (3) the crane deformations are shown within thesafe limits under different loads.