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Damage Detection with Wireless Sensor Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 2871

Special Issue Editor


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Guest Editor
Department of Structural, Geotechnical and Building Engineering (DISEG), Politecnico di Torino, Torino, Italy
Interests: damage analysis in structures and materials (concrete, masonry and rocks); micromechanical damage models; fractals; non-destructive testing (NDT); acoustic emission; electromagnetic emission; critical phenomena in structural mechanics and geophysics; size-scale effects in creep, fracture mechanics and fluid dynamics; hydrodynamic analogy and stress intensification

Special Issue Information

Dear Colleagues,

Because of the unavoidable aging and deterioration of materials when exposed to static, cyclic, and impulsive loadings, the efficient maintenance of engineering structures and infrastructures is becoming a major issue affecting both safety and economic aspects. In this context, structural health monitoring (SHM) has developed in recent years as a crucial research field, able to provide vital information regarding the damage levels before they suddenly turn into catastrophic failures. In particular, by exploiting wireless technology, nondestructive testing (NDT) is the ideal candidate for real-time detection of evolving defects, both at the laboratory and full-scale levels, in a non-invasive way. Among others, acoustic emission, vibration-based identification methods, digital image correlation, tomography techniques, sonic-ultrasonic tests, Raman and terahertz spectroscopy, electromagnetic analysis, etc. have the potential to evaluate evolving states of damage in real time. The aim of this Special Issue is thus to bring together researchers working in the field of NDT-SHM, both at the material and structure scale. It expects to provide novel insights on the application of NDT by wireless sensors networks to a wide variety of materials (concrete, steel, masonry, composites, metals etc.) in the field of engineering and architecture. Both experimental and numerical studies are welcome.

Prof. Gianni Niccolini
Guest Editor

Manuscript Submission Information

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Keywords

  • Structural health monitoring
  • Real-time monitoring
  • Wireless sensor networks
  • Non-destructive testing
  • Long-distance and high-speed data transmission
  • Acoustic emission
  • Vibration-based identification methods
  • Digital image correlation
  • Electromagnetic emissions

Published Papers (1 paper)

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Research

18 pages, 2879 KiB  
Article
Responsiveness of the Sensor Network to Alarm Events Based on the Potts Model
by Andrzej Paszkiewicz and Jan Węgrzyn
Sensors 2020, 20(23), 6979; https://doi.org/10.3390/s20236979 - 6 Dec 2020
Cited by 6 | Viewed by 2408
Abstract
The paper aims to present modelling the sensor network operation based on the Potts model. The authors presented own approach based on three states in which each node can be. The change in the state of a given node depends on its current [...] Read more.
The paper aims to present modelling the sensor network operation based on the Potts model. The authors presented own approach based on three states in which each node can be. The change in the state of a given node depends on its current state, the impact of surrounding nodes on it, but also values of the parameters measured. Therefore, the Hamiltonian was introduced as a dependence of both exceeding the limit value of a measured parameter (corresponding to an alarm event), and the state of the battery powering a given node of a sensor. The simulations of the implemented algorithm based on the adopted model presented in the paper relate to the measurement of temperature by a network of sensors. However, this model is universal and can be applied to examine the behaviour of the sensor infrastructure performing various measurements. Moreover, it may simulate the functioning of the critical network infrastructure or sensor networks and industrial sensors supporting the functioning of Industry 4.0. Full article
(This article belongs to the Special Issue Damage Detection with Wireless Sensor Networks)
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