Solar-powered multi-scale sensor node on Imote2 platform for hybrid SHM in cable-stayed bridge

Ho, Duc-Duy; Lee, Po-Young; Nguyen, Khac-Duy; Hong, Dong-Soo; Lee, So‐Young; Kim, Jeong-Tae; Shin, Sang Jin; Yun, Chung Bang; Shinozuka, Masanobu

doi:10.12989/sss.2012.9.2.145

Cited by 35 publications

(18 citation statements)

References 18 publications

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“…Besides the multimetric sensing, Imote2 provides highly accurate post time synchronization with error less than 50 μs (Nagayama and Spencer, ; Li et al., ) and requires low‐power operation that consumes 6.9 mWh for sensing (Park et al., ). As such, the Imote2 smart sensor platform has been considered to be reliable and versatile, being widely applied to infrastructure monitoring research (Jang et al., ; Rice et al., ; Cho et al., ; Sim et al., ; Ho et al., ; Dorvash et al., ; Cho and Spencer, ; Sun et al., ; Sim and Spencer, ).…”

Section: Traffic Safety Assessment Strategy For Railway Bridgesmentioning

confidence: 99%

Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion

Park

Lee

Sim

et al. 2016

Computer aided Civil Eng

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The traffic safety of a railway bridge is generally evaluated by levels of structural responses such as acceleration, vertical displacement, and deck twist. Whereas acceleration can be readily measured in general, acquiring displacement and twist responses in field testing is often a challenging task due to lack of appropriate sensors. As most existing displacement transducers are designed to measure at a single location, the deck twist which is calculated from four displacements requires costly and labor‐intensive sensor instrumentation. To effectively address the issue, this study proposes an integral strategy for the traffic safety evaluation of railway bridges using multisensor data. The proposed approach provides a formulation to estimate the dense displacement necessary for obtaining twist responses using acceleration and strain measurements. Wireless sensors are adopted because of their intrinsic advantages in multimetric sensing of heterogeneous data, convenient sensor instrumentation, and high‐fidelity time‐synchronized data acquisition. The proposed approach for dense displacement estimation is numerically and experimentally validated using beam models. Subsequently, a full‐scale experiment on a railway bridge is conducted to evaluate the traffic safety for high‐speed trains at three different speeds of 280 km/h, 300 km/h, and 400 km/h. The acceleration, vertical displacement, and twist are obtained and compared with design limits to determine the traffic safety of the railway bridge.

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Section: Traffic Safety Assessment Strategy For Railway Bridgesmentioning

confidence: 99%

Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion

Park

Lee

Sim

et al. 2016

Computer aided Civil Eng

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“…The multi-metric sensing strategy as well as the vibration-based analysis were utilized in the smart wireless sensing system deployed in the Hwamyung Bridge (Fig. 2), a cable-stayed bridge located in Busan, South Korea (Ho et al 2012, Kim et al 2014.…”

Section: Wireless Smart Sensorsmentioning

confidence: 99%

“…Among many potential alternative sources, the solar power is regarded as the strongest candidate for real SHM applications to civil infrastructure (Mathuna et al 2008, Ho et al 2012. For long-span bridges, wind energy can be considered as another promising energy source since these structures are usually located in windy areas.…”

Section: Energy Harvestmentioning

confidence: 99%

Recent R&D activities on structural health monitoring in Korea

Kim

Sim²,

Cho³

et al. 2016

Structural Monitoring and Maintenance

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In this paper, recent research trends and activities on structural health monitoring (SHM) of civil infrastructure in Korea are reviewed. Recently, there has been increasing need for adopting smart sensing technologies to SHM, so this review focuses on smart sensing, monitoring, and assessment for civil infrastructure. Firstly, the research activities on smart sensor technology is reviewed including optical fiber sensors, piezoelectric sensors, wireless smart sensors, and vision-based sensing system. Then, a brief overview is given to the recent advances in smart monitoring and assessment techniques such as vibration-based global monitoring techniques, local monitoring with piezoelectric materials, decentralized monitoring techniques for wireless sensors, wireless power supply and energy harvest. Finally, recent joint SHM activities on several test beds in Korea are discussed to share the up-to-date information and to promote the smart sensors and monitoring technologies for applications to civil infrastructure. It includes a Korea-US joint research on test bridges of the Korea Expressway Corporation (KEC), a Korea-US-Japan joint research on Jindo cable-stayed bridge, and a comparative study for cable tension measurement techniques on Hwamyung cable-stayed bridge, and a campaign test for displacement measurement techniques on Sorok suspension bridge.

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“…It has been applied to long-term stress monitoring because of its stable and durable properties [26]. As far as power supply of wireless sensor is concerned, high-energy battery still plays the key role nowadays, and solar energy seems to be another good choice because of its renewable capability [27].…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

Development of a Multitype Wireless Sensor Network for the Large-Scale Structure of the National Stadium in China

Shen

Yang

Zhang

et al. 2013

International Journal of Distributed Sensor Networks

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A multitype wireless sensor network (WSN) for structural health monitoring is developed for the National Stadium in China (generally known as "Bird's Nest"). The stadium is a super large-scale building built for the 2008 Beijing Olympic Games and can house more than 90,000 occupants. The structure is very rigid and weighs more than 40,000 tons in total. Considering the structural features and on-site environment, the system takes multitype sensors as measurement components including stress, displacement, acceleration, wind, and temperature. The monitoring module design consists of four functions: sensing, processing, wireless communication, and energy management. The communication between each sensor node is realized by using an adjustable and artificial-control chain-type network. A total of 290 sensors were installed on the structure, and the data collection work has been carried out for more than one year. This paper mainly focuses on the system development and project application, while the data analysis work is briefly discussed as well. It can be concluded that the customized WSN is robust and durable, which well satisfies the requirement of plenty multitype sensors working in a large-area distribution. The data analysis results reveal that the super large-scale structure is very sensitive to the temperature effect.

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Solar-powered multi-scale sensor node on Imote2 platform for hybrid SHM in cable-stayed bridge

Cited by 35 publications

References 18 publications

Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion

Traffic Safety Evaluation for Railway Bridges Using Expanded Multisensor Data Fusion

Recent R&D activities on structural health monitoring in Korea

Development of a Multitype Wireless Sensor Network for the Large-Scale Structure of the National Stadium in China

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