Structural Health Monitoring of Bridges Using Wireless Sensor Networks

Harms, Tyler; Sedigh, Sahra; Bastianini, Filippo

doi:10.1109/mim.2010.5669608

Cited by 94 publications

(35 citation statements)

References 4 publications

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“…9(a) and 9(b) show that the results from the SECs agree with the RSGs at low levels of strain (<100 µε), but the discrepancy increases with the level of strain, reaching up to 100 µε. Note that the small difference between symmetric strain gages (RSG 1 versus RSG 4 and RSG 2 versus RSG 3 ) can be explained by a slight offcentered installation of sensors and/or application of the load. Using the surface strain data for Fig.…”

Section: Shape Detection Using Sensor Networkmentioning

confidence: 99%

“…For instance, static-based methods, which includes fiber-optics [1], [2], [3], typically lead to direct signal processing, but the technologies can be expensive to deploy over large surfaces. On the other hand, dynamicbased methods, which include accelerometers [4], [5], [6], are typically inexpensive to deploy, but they often overlook the complexity of damage diagnosis and localization [7].…”

Section: Introductionmentioning

confidence: 99%

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Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Laflamme

Saleem

Vasan

et al. 2013

IEEE/ASME Trans. Mechatron.

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Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 με using an inexpensive off-the-shelf data acquisition system. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages. Abstract-Field applications of existing sensing solutions to structural health monitoring (SHM) of civil structures are limited. This is due to economical and/or technical challenges in deploying existing sensing solutions to monitor geometrically large systems. To realize the full potential of SHM solutions, it is imperative to develop scalable cost-effective sensing strategies. We present a novel sensor network specifically designed for strain sensing over large surfaces. The network consists of soft elastomeric capacitors (SECs) deployed in an array form. Each SEC acts as a surface strain gage transducing local strain into changes in capacitance. Results show that the sensor network can track strain history above levels of 25 µε using an inexpensive off-the-shelf data acquisition systems. Tests at large strains show that the sensor's sensitivity is almost linear over strain levels of 0-20%. We demonstrate that it is possible to reconstruct deflection shapes for a simply supported beam subjected to quasi-static loads, with accuracy comparable to resistive strain gages. Keywords Electrical and Computer Engineering

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Section: Shape Detection Using Sensor Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Laflamme

Saleem

Vasan

et al. 2013

IEEE/ASME Trans. Mechatron.

View full text Add to dashboard Cite

show abstract

“…With rapid advances development in sensor, network, wireless communication and embedded techniques in recent years, WSN (Wireless Sensor Network) finds wide uses in defense, environmental monitoring, structural health monitoring, transport management, industrial process control, anti-terrorism and disaster relief [1][2][3][4]. In WSN, the node is usually powered by the battery.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sleeping Scheduling Method for Wireless Sensor Networks Based on Data Fusion

Song¹,

Yang²,

Zhao³

2016

IJFGCN

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In order to increase the node energy utilization and lengthen the lifetime of the wireless sensor network (WSN), a novel clustering node sleep scheduling algorithm based on data fusion (DFS) is proposed in this paper. DFS increases cluster head's sleep time by adapting the data fusion window, which can realize the goal of energy saving and increase the whole network's lifetime. Simulation results show that the DFS method improves the effectiveness of the network energy consumption and it has better performance on the network coverage maintenance with effectively extending the lifetime of the network．

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“…Structural health monitoring (SHM) of civil structures has the potential of enabling timely inspection and maintenance, resulting in enhanced structural safety and longer life span [1,2]. However, the SHM task is complicated by the inherent size of the structures to be monitored.…”

Section: Introductionmentioning

confidence: 99%

Novel nanocomposite technologies for dynamic monitoring of structures: a comparison between cement-based embeddable and soft elastomeric surface sensors

Ubertini

Laflamme

Ceylan

et al. 2014

Smart Mater. Struct.

100

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The authors have recently developed two novel solutions for strain sensing using nanocomposite materials. While they both aim at providing cost-effective solutions for the monitoring of local information on largescale structures, the technologies are different in their applications and physical principles. One sensor is made of a cementitious material, which could make it suitable for embedding within the core of concrete structures prior to casting, and is a resistor, consisting of a carbon nanotube cement-based transducer. The other sensor can be used to create an external sensing skin and is a capacitor, consisting of a flexible conducting elastomer fabricated from a nanocomposite mix, and deployable in a network setup to cover large structural surfaces. In this paper, we advance the understanding of nanocomposite sensing technologies by investigating the potential of both novel sensors for the dynamic monitoring of civil structures. First, an indepth dynamic characterization of the sensors using a uniaxial test machine is conducted. Second, their performance at dynamic monitoring of a full-scale concrete beam is assessed, and compared against off-theshelf accelerometers. Experimental results show that both novel technologies compare well against mature sensors at vibration-based structural health monitoring, showing the promise of nanocomposite technologies for the monitoring of large-scale structural systems. The authors have recently developed two novel solutions for strain sensing using nanocomposite materials. While they both aim at providing cost-eective solutions at monitoring local information on large-scale structures, both technologies are dierent in their applications and physical principles. One sensor is made of a cementitious material, which could make it suitable for embedding within the core of concrete structures prior to casting, and is a resistor, consisting of a carbon nanotube-cement based transducer. The other sensor can be used to create an external sensing skin and is a capacitor, consisting of a exible conducting elastomer fabricated from a nanocomposite mix, and deployable in a network setup to cover large structural surfaces. In this paper, we advance the understanding of nanocomposite sensing technologies by investigating the potential of both novel sensors at dynamic monitoring of civil structures. First, an in-depth dynamic characterization of the sensors using a uniaxial test machine is conducted. Second, their performance at dynamic monitoring of a full-scale concrete beam is assessed, and compared against othe-shelf accelerometers. Experimental results show that both novel technologies compare well against mature sensors at vibration-based structural health monitoring, showing the promise of nanocomposite technologies at monitoring large-scale structural systems.

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Structural Health Monitoring of Bridges Using Wireless Sensor Networks

Cited by 94 publications

References 4 publications

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

Soft Elastomeric Capacitor Network for Strain Sensing Over Large Surfaces

A Novel Sleeping Scheduling Method for Wireless Sensor Networks Based on Data Fusion

Novel nanocomposite technologies for dynamic monitoring of structures: a comparison between cement-based embeddable and soft elastomeric surface sensors

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