Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors

Lynch, Jerome P.; Wang, Yang; Loh, Kenneth J.; Yi, Jin‐Hak; Yun, Chung Bang

doi:10.1088/0964-1726/15/6/008

Cited by 229 publications

(119 citation statements)

References 19 publications

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“…Such applications include seismology [25,26], navigation [5] including robot control, mobile mapping and airborne laser altimetry [27], Structural Health Monitoring (SHM) [28,29], etc. The identification of this type of dynamic error may represent a source of significant bias in the results of such instruments, and a possible limitation for their use.…”

Section: Implications For Sensor Fusionmentioning

confidence: 99%

Phase effect in time-stamped accelerometer measurements – an experimental approach

Moschas

Stiros

2012

Int. J. Metrol. Qual. Eng.

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Abstract. The phase error in a high quality accelerometer was investigated on the basis of systematic experiments on a prototype platform permitting controlled vertical harmonic oscillations. The recordings of an accelerometer and of an ultra-high frequency GPS fixed on this platform were compared with those of a LVDT transducer, controlling the platform movement. All sensors were supported by independent GPS timing. The output of this study is that the recordings of accelerometers are characterized by a random phase error, which, however, decreases with the increase of the oscillation frequency, as dictated from the laws of mechanics. Such errors are important given the increasing use of combinations of accelerometers with various sensors for a wide range of applications. A simple method for the correction of such errors is proposed.

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Section: Implications For Sensor Fusionmentioning

confidence: 99%

Phase effect in time-stamped accelerometer measurements – an experimental approach

Moschas

Stiros

2012

Int. J. Metrol. Qual. Eng.

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“…Several groups have installed networks on actual civil engineering structures, such as the Golden Gate Bridge [15] or the Geumdang bridge [18]; but, again, such monitoring has been relatively short-term and has focused on vibration monitoring.…”

Section: Related Workmentioning

confidence: 99%

Smart bridges, smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure

et al. 2010

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We instrumented large civil engineering infrastructure items, such as bridges and tunnels, with sensors that monitor their operational performance and deterioration. In so doing we discovered that commercial o erings of Wireless Sensor Networks (WSNs) are still geared towards research prototypes and are currently not yet mature for deployment in practical scenarios.We distill the experience gained during this three-year interdisciplinary project into speci c advice for researchers and developers. We discuss problems and solutions in a variety of areas including sensor hardware, radio propagation, node deployment, system security and data visualization. We also point out the problems that are still open and that the community needs to address to enable widespread adoption of WSNs outside the research lab. IntroductionLarge civil engineering infrastructure items such as bridges, highways, tunnels and water pipes are expected to last for decades or even centuries. Over the course of their lifetimes, these structures deteriorate and require timely maintenance in order to prevent further degradation that might lead to accidents, the need for replacement or, in the worst case, collapse. Traditionally, early detection of such deterioration is achieved by visual inspection, either during routine maintenance visits or when a maintenance team is sent to the site to investigate a known or suspected problem. But such inspections are time-consuming and costly and therefore infrequent. An alternative is to equip infrastructure with sensors that are permanently wired up to report back to a central system; but this solution is not adopted very extensively because of the di culty and cost of running data and power cables to each individual sensor in challenging environments such as a subway tunnel or a long suspension bridge.The purpose of our research project, which at the time of writing has been running for almost three years, is to develop a system for continuous monitoring of such infrastructure using wireless sensor networks which, compared to wired systems, are easier and cheaper to deploy and also o er the opportunity for straightforward expansion.How nice it would be if we could just go out and buy a commercial o the shelf (COTS) wireless sensor network (WSN) system and use it for monitoring our structures straight away. Unfortunately, though, the available commercial systems are typically only kits of building blocks and a non-trivial integration e ort is required, together with the development of any missing parts, before arriving at a complete and usable monitoring solution.This experience paper identi es some of the challenges and issues encountered when installing wireless sensor networks in the eld, with speci c but not exclusive reference to civil engineering deployments, and discusses how these challenges can be addressed. Inspired by the format of the instructive and well-presented paper by Barrenetxea et al. [2], which content-wise is largely complementary to ours, we share our experience in the form o...

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“…Wang et al [9,10,11] develop a distributed sensor network, which consists of multiple compact, self-contained data-acquisition and processing devices that run off batteries and that communicate over a wireless connection, which eliminates the need for cabling. Lynch, Wang et al [12,13] demonstrate that the performance of this device in field tests is comparable to the performance of a commercial tethered system. Wireless transmission in these cases offers a suitable alternative to avoid running long cables.…”

Section: Introductionmentioning

confidence: 97%

An Intelligent Stand-Alone Ultrasonic Device for Monitoring Local Damage Growth in Civil Structures

Pertsch¹,

Kim²,

Wang³

et al. 2010

AIP Conference Proceedings

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ABSTRACT. For aged, in-service civil structures, continuous structural health monitoring is vital to avoid catastrophic failure. This includes monitoring local damage growth at points crucial to the structure's stability. While traditional ultrasonic devices are well-established for scheduled local human inspections, they are ineligible for continuous monitoring. The objective of this research is to develop a stand-alone, self-contained, compact ultrasonic device for continuous structural health monitoring of civil structures. The battery powered device integrates small ultrasonic transducers with a compact high speed data acquisition and processing unit and a wireless communication device. Rayleigh surface waves, generated by the device, will be used to detect and assess surface cracks. This study, documenting the ongoing development, presents a concept for the functional layout of the ultrasonic device. It also examines a method for the assessment of surface breaking damage using Rayleigh waves in a simulated environment. The examination is under the limitations on power levels that can be supplied by batteries. The ultrasonic device may later be combined with global approaches, like analysis of vibration signals, to increase the sensitivity of damage detection in order to avoid catastrophic failures.

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Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors

Cited by 229 publications

References 19 publications

Phase effect in time-stamped accelerometer measurements – an experimental approach

Phase effect in time-stamped accelerometer measurements – an experimental approach

Smart bridges, smart tunnels: Transforming wireless sensor networks from research prototypes into robust engineering infrastructure

An Intelligent Stand-Alone Ultrasonic Device for Monitoring Local Damage Growth in Civil Structures

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