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Sensor and Sensing Technologies for Structural Health Monitoring and Non-destructive Testing—2nd Edition

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1532

Special Issue Editor

Prof. Dr. Victor Giurgiutiu

E-Mail Website
Guest Editor
Department of Mechanical Engineering, University of South Carolina, Columbia, SC 29208, USA
Interests: structural health monitoring (SHM); nondestructive evaluation (NDE)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With recent advancements in sensor technology, structural health monitoring (SHM) and nondestructive evaluation (NDE) systems have been developed and implemented in various civil structures, such as bridges, buildings, tunnels, power plants, and dams. Many advanced types of sensors, from wired to wireless, have been developed to continuously monitor structural conditions through real-time data collection.

With the remarkable progress that has been made following SHM and NDE developments, considerable work remains to be carried out, such as refining theoretical analysis and calibration against well-planned experiments, developing novel sensors for industrial and commercial applications, addressing operational and environmental variations to deploy SHM and NDE techniques for in-service structures, developing signal analysis methods to achieve a probability of detection, and developing novel imaging algorithms to quantify the damage detected. Papers on topics include, but are not limited to, one or several of the following aspects, which will be considered for publication:

  • guided wave actuation and detection;
  • novel signal processing methods;
  • imaging algorithms for damage quantification;
  • damage detection in composite structures;
  • fiber optic sensors;
  • the use of an accelerometer for structural health monitoring;
  • vibrating wire sensors;
  • strain gauges in structural health monitoring;
  • acoustic emission sensors;
  • linear variable differential transformers (LVDTs);
  • temperature sensors.

Prof. Dr. Victor Giurgiutiu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • structural health monitoring
  • damage detection
  • guided wave
  • nondestructive evaluation

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Related Special Issue

Published Papers (2 papers)

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Research

12 pages, 7388 KiB  
Article
Piezoresistive, Piezocapacitive and Memcapacitive Silk Fibroin-Based Cement Mortars
by Daniel A. Triana-Camacho, Antonella D’Alessandro, Silvia Bittolo Bon, Rocco Malaspina, Filippo Ubertini and Luca Valentini
Sensors 2024, 24(22), 7357; https://doi.org/10.3390/s24227357 - 18 Nov 2024
Viewed by 369
Abstract
Water-stable proteins may offer a new field of applications in smart materials for buildings and infrastructures where hydraulic reactions are involved. In this study, cement mortars modified through water-soluble silk fibroin (SF) are proposed. Water-soluble SF obtained by redissolving SF films in phosphate [...] Read more.
Water-stable proteins may offer a new field of applications in smart materials for buildings and infrastructures where hydraulic reactions are involved. In this study, cement mortars modified through water-soluble silk fibroin (SF) are proposed. Water-soluble SF obtained by redissolving SF films in phosphate buffer solution (PBS) showed the formation of a gel with the β sheet features of silk II. Electrical measurements of SF indicate that calcium ions are primarily involved in the conductivity mechanism. By exploiting the water solubility properties of silk II and Ca2+ ion transport phenomena as well as their trapping effect on water molecules, SF provides piezoresistive and piezocapacitive properties to cement mortars, thus enabling self-sensing of mechanical strain, which is quite attractive in structural health monitoring applications. The SF/cement-based composite introduces a capacitive gauge factor which surpasses the traditional resistive gauge factor reported in the literature by threefold. Cyclic voltammetry measurements demonstrated that the SF/cement mortars possessed memcapacitive behavior for positive potentials near +5 V, which was attributed to an interfacial charge build-up modulated by the SF concentration and the working electrode. Electrical square-biphasic excitation combined with cyclic compressive loads revealed memristive behavior during the unloading stages. These findings, along with the availability and sustainability of SF, pave the way for the design of novel multifunctional materials, particularly for applications in masonry and concrete structures. Full article
(This article belongs to the Special Issue Sensor and Sensing Technologies for Structural Health Monitoring and Non-destructive Testing—2nd Edition)
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17 pages, 5246 KiB  
Article
A Comparative Study of Geometric Phase Change- and Sideband Peak Count-Based Techniques for Monitoring Damage Growth and Material Nonlinearity
by Guangdong Zhang, Tribikram Kundu, Pierre A. Deymier and Keith Runge
Sensors 2024, 24(20), 6552; https://doi.org/10.3390/s24206552 - 11 Oct 2024
Cited by 1 | Viewed by 671
Abstract
This work presents numerical modeling-based investigations for detecting and monitoring damage growth and material nonlinearity in plate structures using topological acoustic (TA) and sideband peak count (SPC)-based sensing techniques. The nonlinear ultrasonic SPC-based technique (SPC-index or SPC-I) has shown its effectiveness in monitoring [...] Read more.
This work presents numerical modeling-based investigations for detecting and monitoring damage growth and material nonlinearity in plate structures using topological acoustic (TA) and sideband peak count (SPC)-based sensing techniques. The nonlinear ultrasonic SPC-based technique (SPC-index or SPC-I) has shown its effectiveness in monitoring damage growth affecting various engineering materials. However, the new acoustic parameter, “geometric phase change (GPC)” and GPC-index (or GPC-I), derived from the TA sensing technique adopted for monitoring damage growth or material nonlinearity has not been reported yet. The damage growth modeling is carried out by the peri-ultrasound technique to simulate nonlinear interactions between elastic waves and damages (cracks). For damage growth with a purely linear response and for the nonlinearity arising from only the nonlinear stress–strain relationship of the material, the numerical analysis is conducted by the finite element method (FEM) in the Abaqus/CAE 2021 software. In both numerical modeling scenarios, the SPC- and GPC-based techniques are adopted to capture and compare those responses. The computed results show that, from a purely linear scattering response in FEM modeling, the GPC-I can effectively detect the existence of damage but cannot monitor damage growth since the linear scattering differences are small when crack thickness increases. The SPC-I does not show any change when a nonlinear response is not generated. However, the nonlinear response from the damage growth can be efficiently modeled by the nonlocal peri-ultrasound technique. Both the GPC-I and SPC-I techniques can clearly show the damage evolution process if the frequencies are properly chosen. This investigation also shows that the GPC-I indicator has the capability to distinguish nonlinear materials from linear materials while the SPC-I is found to be more effective in distinguishing between different types of nonlinear materials. This work can reveal the mechanism of GPC-I for capturing linear and nonlinear responses, and thus can provide guidance in structural health monitoring (SHM). Full article
(This article belongs to the Special Issue Sensor and Sensing Technologies for Structural Health Monitoring and Non-destructive Testing—2nd Edition)
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