Structural health monitoring of existing concrete bridges with AASHTO Type IV girder using Smartbridge Sensor Nodes

Wireless sensor networks (WSNs) are one of the most able technologies in the structural health monitoring (SHM) field. Through intelligent, self-organising means, the contents of this paper will test a variety of different objects and different working principles of sensor nodes connected into a network and integrated with data processing functions. In this paper the key issues of WSN applied in SHM are discussed, including the integration of different types of sensors with different operational modalities, sampling frequencies, issues of transmission bandwidth, real-time ability, and wireless transmitter frequency. Furthermore, the topology, data fusion, integration, energy saving, and self-powering nature of different systems will be investigated. In the FP7 project “Health Monitoring of Offshore Wind Farms,” the above issues are explored.

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Wireless Energy Supply to Aircraft Structural Health Monitoring Nodes Using Ultrasonic Lamb Waves

Fatigue of Aircraft Structures ◽

10.1515/fas-2014-0002 ◽

2014 ◽

Vol 2014 (6) ◽

pp. 21-28 ◽

Cited By ~ 2

Author(s):

Aleksander Kural

Keyword(s):

Structural Health Monitoring ◽

Health Monitoring ◽

Lamb Waves ◽

Sensor Nodes ◽

Laser Vibrometer ◽

Structural Health ◽

Signal Laser ◽

Plate Waves ◽

Lamb Wave Propagation ◽

Further Development

Abstract This article is based on research done during the author’s PhD at Cardiff University, UK. A prototype of a novel wireless energy transmission system aimed at the use with wireless aircraft structural health monitoring (SHM) sensor nodes is described. The system uses ultrasonic guided plate waves (Lamb waves) to transmit energy along an aluminium plate, similar to those used in aircraft structures. Three types of piezoelectric transducers generating and receiving the ultrasonic vibration were compared. The Smart Material MFC M8528-P1 was found to achieve the best performance, allowing the transmission of 17 mW across a 54 cm distance, while being driven with a 20 V signal. Laser vibrometer imaging and LISA software simulation of the Lamb wave propagation in the experimental plate were also performed. Based on these, ideas for a further development of the system were proposed.

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An Improved Design Based on Smart Film for Monitoring Crack Width of Concrete Bridges

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.308-310.2478 ◽

2011 ◽

Vol 308-310 ◽

pp. 2478-2481

Author(s):

Xing Xing Li ◽

Ben Niu Zhang ◽

Zhi Xiang Zhou ◽

Lian Tang

Keyword(s):

Structural Health Monitoring ◽

Health Monitoring ◽

Crack Width ◽

Large Scale ◽

Concrete Bridges ◽

Challenging Problem ◽

Structural Health ◽

Crack Monitoring ◽

Improved Design

Structural health monitoring is a promising way for evaluating the integrity and safety of large-scale bridges, and crack monitoring is thought to be a challenging problem in this field. An improved design based on smart film for monitoring crack width of concrete bridges is proposed in this paper. Experiments are also implemented to verify the effectiveness of this design.

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Medium Access Control Optimization For Structural Health Monitoring Using Wireless Sensor Network

10.26686/wgtn.17011838.v1 ◽

2021 ◽

Author(s):

◽

Saurabh Singh

Keyword(s):

Structural Health Monitoring ◽

Access Control ◽

Medium Access Control ◽

Health Monitoring ◽

Wireless Channel ◽

Sensor Nodes ◽

Wireless Sensor ◽

Medium Access ◽

Integrity Assessment ◽

Structural Health

<p>Wireless sensor networks (WSNs) are designed for sensing phenomena and acquiring data. In structural health monitoring (SHM) of engineering structures, increasingly large number of sensor nodes are deployed to acquire data at the spatial density, needed for structural integrity assessment. During catastrophic events like earthquake there is a surge in simultaneous production and transmission of data to a central server at remote location. The increased contention for the wireless channel increases the probability of packet collisions resulting in packet drops, multiple transmission attempts and consequent delays. It is also not uncommon to find certain nodes (e.g. closer to sink) having better success rate in transmission of data and thereby leading to biased data delivery. Many solutions to the problem exist and clustering is the most commonly used method among then, wherein sensor nodes are grouped together. While the existing clustering algorithms do solve the network contention problems, the problem of cluster bias induced due to the proximity to sink node still remains to be addressed. Moreover all the existing solutions are very much node centric. This thesis presents a new perspective on cluster based WSNs designed to tackle Medium Access Control (MAC) layer congestion associated with burst packet generation in an unbiased manner, thereby making it more efficient for applications like SHM. In addition to solving the network bias problem, the proposed design also ensures faster transmission times, increased throughput and energy efficiency.</p>

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A Simplified Methodology for Condition Assessment of Bridge Bearings Using Vibration Based Structural Health Monitoring Techniques

International Journal of Structural Stability and Dynamics ◽

10.1142/s0219455421501339 ◽

2021 ◽

pp. 2150133

Author(s):

Babar Nasim Khan Raja ◽

Saeed Miramini ◽

Colin Duffield ◽

Shilun Chen ◽

Lihai Zhang

Keyword(s):

Structural Health Monitoring ◽

Health Monitoring ◽

Structural Condition ◽

Condition Assessment ◽

Concrete Bridges ◽

Traffic Loading ◽

Structural Health ◽

Vibration Data ◽

Bridge Bearing ◽

Bridge Bearings

The mechanical properties of bridge bearings gradually deteriorate over time resulting from daily traffic loading and harsh environmental conditions. However, structural health monitoring of in-service bridge bearings is rather challenging. This study presents a bridge bearing condition assessment framework which integrates the vibration data from a non-contact interferometric radar (i.e. IBIS-S) and a simplified analytical model. Using two existing concrete bridges in Australia as a case study, it demonstrates that the developed framework has the capability of detecting the structural condition of the bridge bearings in real-time. In addition, the results from a series of parametric studies show that the effectiveness of the developed framework is largely determined by the stiffness ratio between bridge bearing and girder ([Formula: see text], i.e. the structural condition of the bearings can only be effectively captured when the value of [Formula: see text] ranges from 1/100 and 100.

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