Structural health monitoring of innovative civil engineering structures in Mainland China

Li, Hong‐Nan; Li, Dong‐Sheng; Ren, Liang; Yi, Ting‐Hua; Jia, Zhang; Li, Kun-Peng

doi:10.12989/smm.2016.3.1.001

Cited by 40 publications

(36 citation statements)

References 45 publications

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“…Obtaining timely information about the health of civil infrastructures is critical to ensuring safe and reliable operation. Structural health monitoring (SHM) has been promoted widely as a means to provide such information, and sophisticated SHM systems involving hundreds of sensing nodes have been installed in many built bridges around the world . Although the vast amount of raw data have been generated from the SHM systems, limited use has been made from the raw data, and little has been transformed into actionable information.…”

Section: Introductionmentioning

confidence: 99%

Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge

Mao

Wang

et al. 2019

Struct Control Health Monit

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Summary Obtaining timely information about the health of civil infrastructure is critical to ensuring safe and reliable operation. Structural health monitoring has been proposed as a means to provide such information; however, most structural health monitoring systems provide only raw data, rather than actionable information. It is necessary to develop automated modal analysis strategies that can provide near real‐time dynamic information regarding the in‐service state of a bridge, which is essential to vibration control, finite element model calibration, and damage detection for safety and serviceability condition assessment. This study presents an automated framework to extract structural modal parameters from the stabilization diagram using a parametric modal identification method such as stochastic subspace identification. The framework focuses on the automated modal analysis issues of an in‐service long‐span bridge with close‐frequency modes. The presented framework is validated using experimental tests of a 1.8‐m 18‐story laboratory model. Subsequently, data from Sutong Cable‐Stayed Bridge are employed to demonstrate its potential usage in the field. Finally, an application of the automated framework is presented to identify and track the modal parameters of the deck of Sutong Cable‐Stayed Bridge for 20 days. Results show that the presented framework can successfully extract the structural modal parameters with good accuracy and robustness, hence can provide a reliable technical support for in‐service monitoring of long‐span bridges.

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Section: Introductionmentioning

confidence: 99%

Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge

Mao

Wang

et al. 2019

Struct Control Health Monit

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“…Ye et al [5] comprehensively reviewed the structural monitoring and detection of civil infrastructure using optical fiber sensing technology. Nagarajaiah and Erazoa [3], Li et al [6] and Kim et al [7] have all reviewed the literature on other methods of structural monitoring and damage detection. The piezoelectric sensor is relatively a new technology for structural health monitoring with the advantages of a quick response, availability in various shapes, active sensing, low cost and simplicity of implementation.…”

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring and Interface Damage Detection for Infill Reinforced Concrete Walls in Seismic Retrofit of Reinforced Concrete Frames Using Piezoceramic-Based Transducers Under the Cyclic Loading

et al. 2019

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In this work, the piezoceramic-based transducers are used to perform the structural health monitoring (SHM) and interface damage detecting of non-ductile reinforced concrete (RC) frames retrofitted by post-installed RC walls. In order to develop the post-embedded piezoceramic-based transducers that can be used to identify interface failure or cracks between two structural members in retrofit construction, this work adopts the cyclic loading to test two specimens with post-embedded piezoceramic-based transducers (PPT). Since the failure of an interface between the post-installed wall and beam occurs, one of the specimens has damage in the foundation and existing boundary column and the other has damage in the top ends of column and wall. During the cyclic loading test, one transducer was used as an actuator to generate the stress waves and the other transducers were used as the sensors to detect the waves. In damaged specimens, the existence and locations of cracks and the interface damage can be detected by analyzing the wave response. Moreover, the severity of damage to the specimens can also be estimated. The experimental results indicate the effectiveness of the piezoceramic-based approach in the SHM and locating damage in shear-critical RC structural members under the seismic loading.

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“…Other bridges, such as the Ebian Dadu river arch bridge in China [ 12 ], the Flexi-Arch in United Kingdom [ 13 ], the Versoix Bridge in Switzerland [ 14 ] and the Yonghe Bridge in China [ 15 ], adopted the FOP for sensing. The studies and applications have pointed out that FOP sensor has a long sensing range and the capability of providing strain or temperature at every spatial resolution along the entire sensing fiber, imbedded in or attached to the structures, using the fiber itself as the sensing medium, and have affirmed that FOP sensors are more accurate and reliable than other sensors (i.e., strain gauge) [ 16 , 17 , 18 , 19 ]. Wireless sensors have also been widely employed and installed in SHMs of bridges [ 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study

Chen

Zhou

Wang

et al. 2017

Sensors

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Structural health monitoring (SHM) technology for surveillance and evaluation of existing and newly built long-span bridges has been widely developed, and the significance of the technique has been recognized by many administrative authorities. The paper reviews the recent progress of the SHM technology that has been applied to long-span bridges. The deployment of a SHM system is introduced. Subsequently, the data analysis and condition assessment including techniques on modal identification, methods on signal processing, and damage identification were reviewed and summarized. A case study about a SHM system of a long-span arch bridge (the Jiubao bridge in China) was systematically incorporated in each part to advance our understanding of deployment and investigation of a SHM system for long-span arch bridges. The applications of SHM systems of long-span arch bridge were also introduced. From the illustrations, the challenges and future trends for development a SHM system were concluded.

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Structural health monitoring of innovative civil engineering structures in Mainland China

Cited by 40 publications

References 45 publications

Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge

Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge

Structural Health Monitoring and Interface Damage Detection for Infill Reinforced Concrete Walls in Seismic Retrofit of Reinforced Concrete Frames Using Piezoceramic-Based Transducers Under the Cyclic Loading

Deployment of a Smart Structural Health Monitoring System for Long-Span Arch Bridges: A Review and a Case Study

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