Field measurement system based on a wireless sensor network for the wind load on spatial structures: Design, experimental, and field validation

Wang, Y.C.; Luo, Yaozhi; Sun, Bin; Liu, X.; Jia, Zhi Xin; Shen, Yanbin

doi:10.1002/stc.2192

Cited by 12 publications

(7 citation statements)

References 28 publications

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“…A field measurement system for wind load based on a wireless sensor network was developed for largespan roofs recently [5]. In this paper, the Dinghai station (Observation altitude is 35.7 m) in Zhoushan, Zhejiang Province, China, is analyzed, the longitude and latitude of which are 30.02 N and 122.06 E, respectively.…”

Section: Analysis Of Typhoon Wind Field Datamentioning

confidence: 99%

Fatigue Damage of Stayed Cables Due to Buffeting Induced by Eastern-Zhejiang Typhoon

Peng

2022

J. Phys.: Conf. Ser.

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In this paper, a 450 km simulation circle method is used to extract all meteorological records from 1949 to 2018, and to obtain random samples. The Yanmeng typhoon wind field model is compiled by MATLAB, the optimal typhoon wind profile index α is calculated. The harmonic superposition method is used to simulate the typhoon wind field at the construction site. Stress time-history of cables under buffeting is analyzed using ANSYS and MATLAB. Palmgren-miner linear cumulative fatigue damage method is used for fatigue damage analysis, combined with rain flow counting method and S-N curve. It is shown that the damage value of cable increases with the growth of wind speed. The damage of cable has a similar trend with the variance of axial stress. The cable of middle span, about an eighth of the way to bridge tower, is extremely sensitive to the wind. The low stress region is the main circulating region of the cable. The region of low stress expands with the increase of wind speed. The amplitude of cable stress mainly circulates from low amplitude to high amplitude with the increase of wind speed.

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Section: Analysis Of Typhoon Wind Field Datamentioning

confidence: 99%

Fatigue Damage of Stayed Cables Due to Buffeting Induced by Eastern-Zhejiang Typhoon

Peng

2022

J. Phys.: Conf. Ser.

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“…To avoid the wiring problem in the rotating operations of the structure, a long‐term wireless monitoring system has been installed on this structure for online monitoring by Zhejiang University 33,34 . The wireless monitoring system has been successfully used for other large‐scale structures such as Beijing Olympic Stadium, Hangzhou Olympic Sports Center Stadium, and Hangzhou East Railway Station 35–37 . There are a total of 55 strain sensors of vibrating wire type installed in the revolving auditorium.…”

Section: Revolving Auditorium and Health Monitoring Systemmentioning

confidence: 99%

Probabilistic principal component analysis‐based anomaly detection for structures with missing data

Zhi

Yun

Wan

et al. 2021

Struct Control Health Monit

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Summary Structures are subjected to various kinds of structural deterioration and damage with use over long periods of service life. For the safety assurance of structures, it is very important to have a long‐term monitoring system and continuous assessments of structural integrity using the measured data. The objective of this paper is to develop an anomaly detection algorithm for a long‐term structural health monitoring (SHM) system based on probabilistic principal component analysis (PPCA). Static stress data were measured and used in this monitoring system. A baseline PPCA model is built under various environmental loading conditions. Then, newly monitored data are projected onto the principal vectors. Anomaly indices and their probability distributions are evaluated to determine the presence of structural damage indicated by outliers. This method is also capable of dealing with incomplete data and recovering the missing data. First, numerical simulation studies of a revolving auditorium are carried out to validate the proposed PPCA‐based method. Then, real monitoring data collected from the SHM system are used to detect the presence and locations of anomalies in the revolving auditorium.

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“…With the development of a sensor network and monitoring technology, it is possible to study the response of a structure under conditions of prototype field measurement 19‐22 . Compared with measured data, existing theory or recommended value of design specification is insufficient 23‐25 .…”

Section: Introductionmentioning

confidence: 99%

Explicit polynomial regression models of wind characteristics and structural effects on a long‐span bridge utilizing onsite monitoring data

Liu

Zhao

Fang

et al. 2021

Struct Control Health Monit

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Summary From 2010 to 2016, wind speed time history and synchronous acceleration responses along Xihoumen Bridge (XB) girder were recorded by a health‐monitoring system. Based on this dataset, wind speed, wind direction, angle of attack (AoA), turbulence intensity, and turbulence length scale are studied based on 10‐min time intervals. The environmental wind characteristics and synchronous structural effects are decoupled by the control variable method. The probabilistic dependence between wind parameters and structural responses is explored by explicit polynomial regression equations. With wind environment parameters as input, the acceleration responses of the bridge could be rapidly predicted with a certain confidence interval using decoupling and regression modeling (DRM). The proposed DRM can reproduce the buffeting acceleration responses when the bridge is subject to future potential strong typhoon attacks. The key factors affecting the buffeting responses of XB are analyzed and discussed. Generally, the buffeting acceleration responses of XB are significantly affected by wind speed and turbulence intensity rather than by turbulence length scale, which agrees well with previous observations.

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Field measurement system based on a wireless sensor network for the wind load on spatial structures: Design, experimental, and field validation

Cited by 12 publications

References 28 publications

Fatigue Damage of Stayed Cables Due to Buffeting Induced by Eastern-Zhejiang Typhoon

Fatigue Damage of Stayed Cables Due to Buffeting Induced by Eastern-Zhejiang Typhoon

Probabilistic principal component analysis‐based anomaly detection for structures with missing data

Explicit polynomial regression models of wind characteristics and structural effects on a long‐span bridge utilizing onsite monitoring data

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