Modal identification of long-span Runyang Bridge using ambient responses recorded by SHMS

Fei, Qingguo; Li, Aiqun; Han, Xiaolin; Miao, Changqing

doi:10.1007/s11431-009-0360-5

Cited by 9 publications

(8 citation statements)

References 5 publications

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“…Structural health monitoring system has been increasingly implemented on different kind of bridges for health monitoring all over the world: Tsing Ma Bridge (Zhang et al, 2011), Kap Shui Mun Bridge and Ting Kau Bridge (Wong, 2007), Runyang Bridge (Fei et al, 2009), Yonghe Bridge (Li et al, 2010), etc. in China, Great Belt East Bridge (Soman et al, 2018), Oresund Bridge (Peeters et al, 2009), Henrique Bridge (Magalhães et al, 2012), etc.…”

Section: Introductionmentioning

confidence: 99%

“…Naturally, the elements of an effective SHM system include the structure to be monitored, sensor arrangement, data acquisition system, data transfer and storage mechanism, data management, as well as data interpretation and diagnosis that are composed of system identification, structural model update, structural condition assessment, and prediction of remaining service life. Structural health monitoring system has been increasingly implemented on different kind of bridges for health monitoring all over the world: Tsing Ma Bridge (Zhang et al, 2011), Kap Shui Mun Bridge and Ting Kau Bridge (Wong, 2007), Runyang Bridge (Fei et al, 2009), Yonghe Bridge (Li et al, 2010), etc. in China, Great Belt East Bridge (Soman et al, 2018, Oresund Bridge (Peeters et al, 2009), Henrique Bridge (Magalhães et al, 2012), etc.…”

Section: Introductionmentioning

confidence: 99%

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Structural health monitoring on Yangluo Yangtze River Bridge: Implementation and demonstration

Zhu

Ren

Wang

2022

Advances in Structural Engineering

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Long-span cable-supported bridge is one of crucial transportation infrastructures. Structural health monitoring (SHM) system that is used to assess structural service conditions and detect early damage has drawn a growing attention in engineering structural society. It provides a real-time monitoring of various structural changes under operational and extreme conditions. Yangluo Bridge over Yangtze River in Wuhan city of China is a 1280 m central span suspension bridge with an orthotropic steel box girder. Taking the SHM system of Yangluo Yangtze River Bridge as an example, this paper presents an implementation of SHM system on the bridge in terms of sensor layout, data acquisition strategy, data transmission, data processing, and abnormal alarm framework. With such an SHM system, the typical monitoring results are demonstrated such as operational environments, loadings, structural deformation, strains, dynamic properties, and structural responses. The SHM system of Yangluo Yangtze River Bridge is continuously gathering data and monitoring structural behavior. It is anticipated that it will provide either scientific or technological supports to the service comfort and safety of the bridge.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structural health monitoring on Yangluo Yangtze River Bridge: Implementation and demonstration

Zhu

Ren

Wang

2022

Advances in Structural Engineering

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“…In recent years, the response surface method (RSM) and its improved methods have been applied in the feld of model updating [8][9][10][11][12][13]. In this paper, based on an actual OSD steel box girder bridge with steel-SFRC composite structures, we used the reference-based cross-point power spectrum method, picked up the bridge vibration signals under ambient excitation, and used the cross-point power spectrum method to identify the modal parameters of the dynamic response signals of the structure [14], and thereby obtained the modal frequencies, damping ratio, and mode shapes of the bridge. Ten we compared the fndings with the ANSYS model and updated the model by the response surface method, thus providing a reasonable fnite element model for the seismic analysis of the bridge in the strong earthquake area.…”

Section: Introductionmentioning

confidence: 99%

Response Surface‐Based Finite Element Model Updating of Steel Box‐Girder Bridges with Concrete Composite Decks

Xiong

Zhu

Jiang

2022

Advances in Civil Engineering

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The orthotropic steel deck (OSD) using the steel-steel fiber reinforced concrete (SFRC) deck can be used in small and medium-span bridges for its advantages of construction convenience and lower construction cost. The seismic performance of THESE steel box girder bridges in strong earthquake zones needs to be evaluated, and a reasonable finite element model is the important basis for an accurate evaluation of these bridges. Finite element analysis (FEA) and field measurements of the dynamic characteristics of steel box girder bridges were carried out in this study, and the finite element model was updated based on the response surface method. The studies show that the bridge modal parameters can be reasonably identified based on the measurements of the bridge under ambient excitation without artificial excitation; the first six orders of mode shapes in the FEA results are consistent with the measured ones, but there is a difference between the natural frequencies; the model updating found that the elasticity modulus, density, and thickness of the SFRC have some influence on the first six orders of natural frequency of the bridge, but the SFRC thickness has the most significant influence on the bridge frequency, and the influence of epoxy asphalt pavement on bridge frequency is small. The study concluded that the SFRC layer of the bridge deck is no longer the traditional bridge deck pavement without considering the stiffness, but it integrates with the OSD as a steel-concrete composite structure. Therefore, the structure formed by the SFRC layer through the combination of shear studs and OSD shall be reasonably simulated in the finite element model so as to reasonably reflect the contribution of the SFRC layer in the composite structure of the bridge stiffness. The obtained updated finite element model gives results closer to the measured modalities, which provides a more reasonable bridge model for seismic analysis of bridges located in strong seismic zones and also demonstrates the effectiveness of the finite element analysis and the model updating method based on the response surface method in this study.

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“…Vibration-based testing and monitoring of bridge structures to acquire their dynamic properties, such as natural frequencies, damping values, and mode shapes are one of the most common practice since the early 1980s (e.g., Farrar and Worden, 2007;Fei et al, 2009;Benedettini and Gentile, 2011;Wang et al, 2013Wang et al, , 2014Wang et al, , 2016Gara et al, 2016;Ivorra et al, 2017). More recently, researchers have started using pedestrian footbridges as test beds due to their flexibility and ease of testing compared to typical large-scale highway bridges.…”

Section: Introductionmentioning

confidence: 99%

“…This is due to a number of constraints, including the following: (a) Designer's knowledge: most rural footbridge designers are not well-versed in structural dynamics; (b) Accuracy and access for finite element modeling: informal construction practices result in large discrepancies between asbuilt dynamic properties and those predicted using finite element models (e.g., Živanović et al, 2006, 2007). This aspect generally holds true for any civil structures where full-scale monitoring or structural health monitoring methodology needs to be invoked for reliably evaluating dynamic properties of full-scale structures (e.g., Kijewski-Correa et al, 2006;Fei et al, 2009;Benedettini and Gentile, 2011;Wang et al, 2013Wang et al, , 2014Wang et al, , 2016Foti et al, 2015;Gara et al, 2016;Ivorra et al, 2017). For rural footbridges, detailed finite element modeling and analysis are even rarely carried out in design practice; (c) Deployable sensors and data management/analysis: structural monitoring equipment of industry standard is expensive and cumbersome, thus requires an expert to deploy it and perform data analysis after measurements.…”

Section: Introductionmentioning

confidence: 99%

Data-Enabled Prediction Framework of Dynamic Characteristics of Rural Footbridges Using Novel Citizen Sensing Approach

Gibbs

Kwon

Kareem

2019

Front. Built Environ.

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Rural footbridges have proved to be an impetus for growth in vulnerable areas of the developing world, increasingly being built in many isolated communities around continents. Yet, little prior assessment of their dynamic characteristics had been made due to the non-traditional constraints that arise from instrumenting footbridges in rural, off-grid settings across multiple continents. Their characteristics remain largely unknown even if the low mass and flexible nature of rural footbridges make them vulnerable to wind-induced motions. To this end, this study proposes a data-enabled prediction framework based on a novel citizen sensing protocol, which aims at predicting the dynamic properties of rural footbridges during the conceptual design phase to enhance their safety under winds. The protocol is established which enables non-experts including local citizens in isolated communities to collect vibration data of rural footbridges by way of rapidly deployable and low-cost sensing systems in a novel application to full-scale monitoring with the concept of the community engagement. This citizen sensing data helps not only establish database with dynamic properties, but also develop empirical models to predict their dynamic properties of a footbridge in the conceptual design phase without detailed and bridge-specific dynamic modeling. In addition, a simple yet effective batch processing procedure to be done by non-experts is also devised to readily process upcoming citizen sensing data from new footbridges in the future, which offers instant and continuous updates of existing database with minimal efforts for enhancing the knowledge and the prediction of dynamic characteristics of rural footbridges.

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Modal identification of long-span Runyang Bridge using ambient responses recorded by SHMS

Cited by 9 publications

References 5 publications

Structural health monitoring on Yangluo Yangtze River Bridge: Implementation and demonstration

Structural health monitoring on Yangluo Yangtze River Bridge: Implementation and demonstration

Response Surface‐Based Finite Element Model Updating of Steel Box‐Girder Bridges with Concrete Composite Decks

Data-Enabled Prediction Framework of Dynamic Characteristics of Rural Footbridges Using Novel Citizen Sensing Approach

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