Correlation-Based Estimation Method for Cable-Stayed Bridge Girder Deflection Variability under Thermal Action

Yang, Dong‐Hui; Yi, Ting‐Hua; Li, Hong‐Nan; Zhang, Yufeng

doi:10.1061/(asce)cf.1943-5509.0001212

Cited by 75 publications

(28 citation statements)

References 25 publications

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“…In recent decades, more and more long-span bridges and other large civil infrastructures have been constructed all over the world. To guarantee the normal operation and safety of the civil structures during their service life, structural health monitoring (SHM) system are widely applied, especially for long-span bridges and skyscrapers, which can obtain information with respect to the structural behavior and environmental actions [1][2][3][4]. A complete SHM system consists of three subsystems, namely a sensor subsystem, data acquisition and transmission subsystem and data management subsystem.…”

Section: Introductionmentioning

confidence: 99%

Pareto-Based Bi-Objective Optimization Method of Sensor Placement in Structural Health Monitoring

Nong

Yang

2021

Buildings

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For a practical structural health monitoring (SHM) system, the traditional single objective methods for optimal sensor placement (OSP) cannot always obtain the optimal result of sensor deployment without sacrificing other targets, which creates obstacles to the efficient use of the sensors. This study mainly focuses on establishing a bi-objective optimization method to select the sensor placement positions. The practical significance of several single-objective criteria for OSP is firstly discussed, based on which a novel bi-objective optimization method is proposed based on the Pareto optimization process, and the corresponding objective functions are established. Furthermore, the non-dominated sorting genetic algorithm is introduced to obtain a series of the Pareto optimal solutions, from which the final solution can be determined based on a new defined membership degree index. Finally, a numerical example of a plane truss is applied to illustrate the proposed method. The Pareto optimization-based bi-objective OSP framework presented in this study could be well suited for solving the problem of multi-objective OSP, which can effectively improve the efficiency of the limited sensors in SHM system.

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Section: Introductionmentioning

confidence: 99%

Pareto-Based Bi-Objective Optimization Method of Sensor Placement in Structural Health Monitoring

Nong

Yang

2021

Buildings

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“…Early warning of the structural damage can be realized by modeling the correlation between structural monitoring data and environmental monitoring data. Previous studies have shown that there is a direct correlation between temperature and displacement, and the correlation modeling can be used to realize the bridge performance warning [ 16 , 17 ]. The influence of wind on bridge structure can be obtained by statistics of average wind speed, wind direction, wind turbulence intensity, integral scale, etc.…”

Section: Introductionmentioning

confidence: 99%

Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method

Wang¹,

Yang²,

Yi³

2021

Sensors

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Wind action is one of the environmental actions that has significant static and dynamic effects on long-span bridges. The lateral wind speed is the main factor affecting the lateral displacement of the main girder of the bridge. The main objective of the paper is to use the improved multi-rate fusion method to correct the monitoring data so that accurate correlation modeling of wind speed-displacement can be achieved. Two Kalman gain coefficients are introduced to improve the traditional multi-rate fusion method. The fusion method is verified by the results of simulated data analysis in time domain and frequency domain. Then, the improved multi-rate fusion method is used to fuse the monitoring lateral displacement and acceleration data of a bridge under strong wind action. The corrected lateral wind speed and displacement data is further applied to establish the correlation model through the linear regression. The improved multi-rate fusion method can overcome the inaccuracy of the high frequency stage of a Global Positioning System (GPS) sensor and the low frequency stage of acceleration sensor. The correlation coefficient of wind speed-displacement after fusion increases and the confidence interval width of regression model decreases, which indicates that the accuracy of the correlation model between wind speed and displacement is improved.

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“…Vibration-based dynamic system identification process has been performed in historical buildings and sufficient results and experiences have been obtained [8][9][10][11][12]. This process was also examined for bridges [13][14][15][16][17][18][19], buildings [11,[20][21][22][23][24][25] and tall towers [26][27][28][29][30][31][32]. This method is more effective for bridge structures, due to their considerable permanent ambient vibrations [18,19].…”

Section: Introductionmentioning

confidence: 99%

“…This process was also examined for bridges [13][14][15][16][17][18][19], buildings [11,[20][21][22][23][24][25] and tall towers [26][27][28][29][30][31][32]. This method is more effective for bridge structures, due to their considerable permanent ambient vibrations [18,19]. Also, the historical tall towers such as minarets and bell towers are appropriate cases for investigation using this method because they have a high level of structural height and consequently strong vibrations during daily ambient excitations.…”

Section: Introductionmentioning

confidence: 99%

An enhanced indirect video-based measurement procedure for dynamic structural system identification applications

2021

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A video-based indirect sensing procedure for dynamic identification purposes is presented. To overcome major limitations of video-based methods in real on-site measurements, a novel three step pre-modification, magnification, post-modification process is developed. This process includes revision of the initial input video record in order to delete disturbing objects, utilizing a magnification method to filter the frequency content of the monitored motion and using a revision step for elimination of noises generated during magnification process. Finally, a set of digital signal and image processing analyses are performed on the modified video using virtual visual sensor technology. Based on the results of this research, motion signals of the monitored object are detected. The proposed approach has been used for identification of dynamic characteristics of two historic masonry minarets in Istanbul. Results shows that the proposed procedure is able to assess the dynamic characteristics of the monitored structure with a high-level of accuracy.

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Correlation-Based Estimation Method for Cable-Stayed Bridge Girder Deflection Variability under Thermal Action

Cited by 75 publications

References 25 publications

Pareto-Based Bi-Objective Optimization Method of Sensor Placement in Structural Health Monitoring

Pareto-Based Bi-Objective Optimization Method of Sensor Placement in Structural Health Monitoring

Accurate Correlation Modeling between Wind Speed and Bridge Girder Displacement Based on a Multi-Rate Fusion Method

An enhanced indirect video-based measurement procedure for dynamic structural system identification applications

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