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Sensor Application for Nondestructive Structural Health Monitoring
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Sensor Application for Nondestructive Structural Health Monitoring

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 3254

Special Issue Editor

Dr. Benjamin Ducharne

E-Mail Website
Guest Editor
Institut National des Sciences Appliquées de Lyon, Villeurbanne, France
Interests: non-destructive testing

Special Issue Information

Dear Colleagues,

The integrity of constructions and structures is constantly affected by multiple factors: aging, fatigue, corrosion, etc. Over time, degradations are accumulated and will eventually reduce the structures' disaster resistance ability, leading to failures. The potential for such accidents directly threatens the safety of both lives and properties. With these rising concerns, structural health monitoring (SHM) and rehabilitation technology have become top research focus areas. SHM involves the observation and analysis of a system over time. SHM uses periodically sampled response measurements to monitor changes to engineering structures, such as bridges and buildings. Despite the tremendous research done in the past few decades, SHM and the associated instrumentation still face significant issues and challenges, including:

  • the calibration and tolerance of instruments and sensors,
  • measurement errors,
  • the reproducibility of the testing conditions,
  • the dependability of the data transmission and storage systems,
  • the ability of the data processing algorithms to identify the changes with an acceptable level of confidence, etc.

Periodic inspection is the essence of SHM; it has to start from the beginning of the operating service to detect defects in its early stage. The instrumentation must be robust enough to ensure trustworthy measurements throughout the structure's life.

This Special Issue focuses on sensor application in the SHM field. This includes developments, technical improvements, and new technologies. We would like to invite the community to submit their original research articles and review articles that contain theoretical, analytical, and experimental investigations covering all aspects of sensor application for nondestructive structural health monitoring.

Dr. Benjamin Ducharne
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
  • instrumentation
  • testing conditions
  • calibration
  • tolerance
  • level of confidence
  • defects detection

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Published Papers (2 papers)

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Research

17 pages, 9659 KiB  
Article
Mathematically Improved XGBoost Algorithm for Truck Hoisting Detection in Container Unloading
by Nian Wu, Wenshan Hu, Guo-Ping Liu and Zhongcheng Lei
Sensors 2024, 24(3), 839; https://doi.org/10.3390/s24030839 - 27 Jan 2024
Viewed by 1049
Abstract
Truck hoisting detection constitutes a key focus in port security, for which no optimal resolution has been identified. To address the issues of high costs, susceptibility to weather conditions, and low accuracy in conventional methods for truck hoisting detection, a non-intrusive detection approach [...] Read more.
Truck hoisting detection constitutes a key focus in port security, for which no optimal resolution has been identified. To address the issues of high costs, susceptibility to weather conditions, and low accuracy in conventional methods for truck hoisting detection, a non-intrusive detection approach is proposed in this paper. The proposed approach utilizes a mathematical model and an extreme gradient boosting (XGBoost) model. Electrical signals, including voltage and current, collected by Hall sensors are processed by the mathematical model, which augments their physical information. Subsequently, the dataset filtered by the mathematical model is used to train the XGBoost model, enabling the XGBoost model to effectively identify abnormal hoists. Improvements were observed in the performance of the XGBoost model as utilized in this paper. Finally, experiments were conducted at several stations. The overall false positive rate did not exceed 0.7% and no false negatives occurred in the experiments. The experimental results demonstrated the excellent performance of the proposed approach, which can reduce the costs and improve the accuracy of detection in container hoisting. Full article
(This article belongs to the Special Issue Sensor Application for Nondestructive Structural Health Monitoring)
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15 pages, 5073 KiB  
Article
Printed Eddy Current Testing Sensors: Toward Structural Health Monitoring Applications
by Eliott Brun, Pierre-Jean Cottinet, Arnaud Pelletier and Benjamin Ducharne
Sensors 2023, 23(19), 8345; https://doi.org/10.3390/s23198345 - 9 Oct 2023
Cited by 1 | Viewed by 1877
Abstract
Reliable measurements in structural health monitoring mean for the instrumentation to be set in perfect reproducible conditions. The solution described in this study consists of printing the sensors directly on the parts to be controlled. This method solves the reproducibility issue, limits human [...] Read more.
Reliable measurements in structural health monitoring mean for the instrumentation to be set in perfect reproducible conditions. The solution described in this study consists of printing the sensors directly on the parts to be controlled. This method solves the reproducibility issue, limits human error, and can be used in confined or hazardous environments. This work was limited to eddy current testing, but the settings and conclusions are transposable to any non-destructive testing methods (ultrasounds, etc.). The first salve of tests was run to establish the best dielectric and conductive ink combination. The Dupont ink combination gave the best performances. Then, the dispenser- and the screen-printing methods were carried out to print flat spiral coils on flexible substrates. The resulting sensors were compared to flex-printed circuit boards (PCB-flex) using copper for the electrical circuit. The conductive ink methods were revealed to be just as efficient. The last stage of this work consisted of printing sensors on solid parts. For this, 20-turn spiral coils were printed on 3 mm thick stainless-steel plates. The permanent sensors showed good sensibility in the same range as the portative ones, demonstrating the method’s feasibility. Full article
(This article belongs to the Special Issue Sensor Application for Nondestructive Structural Health Monitoring)
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