Design of a Long-Term Monitoring System for a PSC Continuous Box-Girder Bridge

2014 ◽  
Vol 619 ◽  
pp. 1-9 ◽  
Author(s):  
Chuang Chen ◽  
R. Kaloop Mosbeh ◽  
Zong Lin Wang ◽  
Qing Fei Gao ◽  
Jun Fei Zhong
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Continuous Monitoring ◽  
Variable Cross ◽  
Box Girder ◽  
Structural Health ◽  
Box Girder Bridge ◽  
Girder Bridge

Structural Health Monitoring is becoming an increasingly common tool to obtain the long-term performance of infrastructures and buildings. Many structural health monitoring systems were developed and applied to different bridges in the world. However, very little is known on the applications in extreme cold environment. Fu Sui Bridge, a 1070 m variable cross-section continuous box-girder bridge, is located in the coldest province -- Heilongjiang province, China. In order to monitor the static and dynamic responses of the bridge under the traffic and environmental variation, a long-term continuous monitoring system was designed and installed on Fu Sui Bridge in April 2012. A hydrostatic leveling system was used to measure the displacement and fiber Bragg grating sensors were used to measure strain, acceleration and temperature. Moreover, other necessary components including data acquisition and transmission, data calculation and analysis software are also described. Summer and winter monitoring data are also presented. This paper focuses on: (1) the design and installation of the long-term continuous monitoring system hardware and (2) the operating pattern and function of the automatic monitoring system. After more than one year successful conducting, the system has provided a large amount of data records for daily management and research of the bridge. This system can be applied to extremely cold region.

scholarly journals Structural Health Monitoring System Based on FBG Sensing Technique for Chinese Ancient Timber Buildings

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 110 ◽  
Author(s):  
Shao-Fei Jiang ◽  
Ze-Hui Qiao ◽  
Ni-Lei Li ◽  
Jian-Bin Luo ◽  
Sheng Shen ◽  
...  
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Structural Deformation ◽  
Beam Deflection ◽  
Health State ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System

Due to the long-term service, Chinese ancient timber buildings show varying degrees of wear. Thus, structural health monitoring (SHM) for these cultural and historical treasures is desperately needed to evaluate the service status. Although there are some FBG sensing-based SHM systems, they are not suitable for Chinese ancient timber buildings due to the differences in architectural types, structural loads, materials, and environment. Besides, a technical gap in Fiber Bragg grating (FBG) sensing-based column inclination monitoring exists. To overcome these weaknesses, this paper develops an FBG sensing-based structural health monitoring system for Chinese ancient Chuan-dou-type timber buildings that aims at monitoring structural deformation, i.e., beam deflection and column inclination, temperature, humidity, and fire around the building. An in-situ test and simulation analyses were conducted to verify the effectiveness of the developed SHM system. To validate the long-term-operation of the developed SHM system, monitoring data within 15 months were analyzed. The results show good agreement between the developed SHM system in this paper and other methods. In addition, the SHM system operated well in the first year after its deployment. This implies that the developed SHM system is applicable and effective in the health state monitoring of Chinese ancient Chuan-dou-type timber buildings, laying a foundation for damage prognosis of such types of timber buildings.

Probabilistic corrosion fatigue life assessment of a suspension bridge instrumented with long-term structural health monitoring system

2017 ◽  
Vol 20 (5) ◽  
pp. 674-681 ◽  
Author(s):  
XW Ye ◽  
T Liu ◽  
YQ Ni
Keyword(s):  
Fatigue Life ◽  
Structural Health Monitoring ◽  
Monitoring System ◽  
Corrosion Fatigue ◽  
Health Monitoring ◽  
Welded Joint ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System

The long-term performance of engineering structures in a corrosive environment will be significantly affected by the coupled action of corrosion and fatigue. In this article, a probabilistic corrosion fatigue analytical model is proposed by taking into account the effects of corrosion-induced reduction of the cross-sectional area and deterioration of the fatigue strength of structural components. The proposed model is exemplified to evaluate the probabilistic corrosion fatigue life of a typical welded joint in the suspension Tsing Ma Bridge instrumented with a long-term structural health monitoring system. A genetic algorithm–based mixture parameter estimation method is developed to facilitate the multimodal modeling of stress spectrum derived from the long-term monitoring data of dynamic strain. The achieved results demonstrate that with the increase in the service life, the reliability index of the investigated typical welded joint is dramatically reduced under the combined effect of corrosion and fatigue.

scholarly journals PENENTUAN NILAI DEFLEKSI MAKSIMUM PADA JEMBATAN STEEL BOX GIRDER BERDASARKAN DATA NILAI ROTASI

2021 ◽  
Vol 5 (2) ◽  
pp. 411
Author(s):  
David Surachmat ◽  
Made Suangga
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Global Positioning System ◽  
Health Monitoring ◽  
Box Girder ◽  
Health Monitoring System ◽  
Structural Health ◽  
Structural Health Monitoring System ◽  
Steel Box Girder ◽  
Global Positioning

Structural health monitoring system plays a crucial role in order to ensure a well-maintained bridge condition. There are a number of methods that may be utilized in order to conduct the monitoring process, namely the use of Global Positioning System (GPS). Despite its accuracy, the use of GPS is deemed costly. A more practical and economical approach to predicting deflection is the use of tiltmeter to obtain rotational values. This research studied the accuracy of simple span steel box girder deflection that is obtained from regression formulae. The analysis showed that a 3D linear and quadratic regression with two rotation data provided the best accuracy if compared with 2D. Keywords: deflection; rotation; structural health monitoring system; tiltmeter AbstrakPemantauan kesehatan struktur jembatan (structural health monitoring system) sangat penting dilakukan untuk memastikan jembatan tetap dalam kondisi yang memadai. Banyak cara yang dapat dilakukan untuk memonitor kondisi jembatan, salah satunya dengan menggunakan Global Positioning System (GPS). Walaupun menghasilkan data yang akurat, penggunaan GPS dipandang menghabiskan biaya yang relatif besar. Adapun solusi yang lebih praktis dan murah untuk memprediksi defleksi yaitu dengan menggunakan tiltmeter dengan data rotasi. Pada studi ini, telah dipelajari tingkat akurasi defleksi jembatan steel box girder dengan bentang sederhana dari hasil persamaan regresi dengan data rotasi. Hasil analisis menunjukkan bahwa model regresi linear dan kuadratik 3D untuk 2 data rotasi memiliki tingkat akurasi lebih baik jika dibandingkan dengan model regresi linear dan kuadratik 2D untuk 2 data rotasi. 

scholarly journals Designing a Structural Health Monitoring System Accounting for Temperature Compensation

2021 ◽  
Vol 7 (1) ◽  
pp. 5
Author(s):  
Valeria Francesca Caspani ◽  
Daniel Tonelli ◽  
Francesca Poli ◽  
Daniele Zonta
Keyword(s):  
Structural Health Monitoring ◽  
Monitoring System ◽  
Health Monitoring ◽  
Temperature Compensation ◽  
A Posteriori ◽  
Health Monitoring System ◽  
Structural Health ◽  
Condition State ◽  
Term Response

Structural health monitoring is effective if it allows us to identify the condition state of a structure with an appropriate level of confidence. The estimation of the uncertainty of the condition state is relatively straightforward a posteriori, i.e., when monitoring data are available. However, monitoring observations are not available when designing a monitoring system; therefore, the expected uncertainty must be estimated beforehand. This paper proposes a framework to evaluate the effectiveness of a monitoring system accounting for temperature compensation. This method is applied to the design process of a structural health monitoring system for civil infrastructure. In particular, the focus is on the condition-state parameters representing the structural long-term response trend, e.g., due to creep and shrinkage effects, and the tension losses in prestressed concrete bridges. The result is a simple-to-use equation that estimates the expected uncertainty of a long-term response trend of temperature-compensated response measurements in the design phase. The equation shows that the condition-state uncertainty is affected by the measurement and model uncertainties, the start date and duration of the monitoring activity, and the sampling frequency. We validated our approach on a real-life case study: the Colle Isarco viaduct. We verified whether the pre-posterior estimation of expected uncertainty, performed with the experimented approach, is consistent with the real uncertainty estimated a posteriori based on the monitoring data.

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