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Sensors and Smart Devices for Structure Health Monitoring
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Sensors and Smart Devices for Structure Health Monitoring

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

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 6493

Special Issue Editors

Dr. Mengyan Nie

E-Mail Website
Guest Editor
Institute for Materials Discovery, University College London, London WC1E 7JE, UK
Interests: condition monitoring; microdevices; smart materials; additive manufacturing
Dr. Yi Ou

E-Mail Website
Guest Editor
Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China
Interests: micro-electromechanical Systems（MEMS）
Prof. Dr. Julian Wharton

E-Mail Website
Guest Editor
National Centre for Advanced Tribology at Southampton, University of Southampton, Southampton, UK
Interests: biocorrosion; tribocorrosion

Special Issue Information

Dear Colleagues,

The performance and integrity monitoring of engineering components, machinery, and engineered systems are crucial for cost-effective condition-based maintenance programs, as are a better understanding of how machines and engineering systems perform and the ability to predict and prevent in-service failure. Reliable sensing systems and robust fault prognosis and diagnosis methods are essential to achieve these goals:  

  • Sensors for monitoring physical, chemical, biological, corrosion, tribological, tribocorrosion properties of engineering components;
  • Sensors for harsh operational conditions;
  • Self-powered sensing devices, especially for offshore structures or infrastructures in remote areas;
  • Smart devices, especially integrated sensing devices for structural health and integrity monitoring;
  • Data processing and signal processing for fault detection and diagnosis;
  • Reliability assessment of prognosis methods.

However, more topics will be considered if they align with this theme.

Dr. Mengyan Nie
Dr. Yi Ou
Prof. Dr. Julian Wharton
Guest Editors

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.

Published Papers (3 papers)

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Research

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25 pages, 12731 KiB  
Article
Numerical and Field Measurement Investigation on Foundation Pit Excavation Blasting of Anchor in Suspension Bridge
by Lei Yan, Xiaoying Gou, Zengshun Chen, Yunfei Fu, Guo Li, Longfei Cheng, Xuanyi Xue and Yu Jiang
Sensors 2022, 22(22), 8952; https://doi.org/10.3390/s22228952 - 18 Nov 2022
Cited by 1 | Viewed by 1174
Abstract
The foundation pit of a suspension bridge project in the Three Gorges Reservoir area is investigated in this paper. The pit is located under an unstable rock mass and landslide body; its base lithology is mudstone. The bridge foundation pit project mainly adopts [...] Read more.
The foundation pit of a suspension bridge project in the Three Gorges Reservoir area is investigated in this paper. The pit is located under an unstable rock mass and landslide body; its base lithology is mudstone. The bridge foundation pit project mainly adopts blasting excavation to accelerate construction progress. However, as a hazardous technique to engineering safety, the explosion vibration easily causes deterioration of the surrounding strata, thereby inducing slope instability and rock mass collapse. Besides, three major challenges should be considered: complex terrain conditions, difficulties in the blasting excavation of anchors, and the extremely high risk of construction. Therefore, comprehensive risk control measures using the methods of hierarchical excavation and minimum charge blasting are put forward. After the measures were verified to be feasible through finite element simulation, it was successfully applied to actual construction. In addition, this paper proposes using fiber concrete to reinforce slope retaining walls, and simulates the reinforced effect based on the research above. The results indicate that the risk control scheme is reasonable, which not only ensures the construction process but also guarantees the stability of the slope and unstable rock body. At the same time, the slope is reinforced with fiber concrete, which effectively decreases the protection wall thickness. Finally, the article can provide a valuable reference for similar engineering projects around the world. Full article
(This article belongs to the Special Issue Sensors and Smart Devices for Structure Health Monitoring)
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14 pages, 3945 KiB  
Communication
A New Inductive Debris Sensor Based on Dual-Excitation Coils and Dual-Sensing Coils for Online Debris Monitoring
by Xianwei Wu, Yinghong Zhang, Nian Li, Zhenghua Qian, Dianzi Liu, Zhi Qian and Chenchen Zhang
Sensors 2021, 21(22), 7556; https://doi.org/10.3390/s21227556 - 13 Nov 2021
Cited by 17 | Viewed by 2317
Abstract
Lubricants are of key importance for mechanical processing, and exist in nearly every mechanical system. When the equipment is in operation, debris particles will be generated in mechanical lubricants. The detection of debris particles can indicate the wear degree of machinery components, and [...] Read more.
Lubricants are of key importance for mechanical processing, and exist in nearly every mechanical system. When the equipment is in operation, debris particles will be generated in mechanical lubricants. The detection of debris particles can indicate the wear degree of machinery components, and provide prognosis warning for the system before the fault occurs. In this work, a novel type of inductive debris sensor consisting of two excitation coils and two sensing coils is proposed for online debris monitoring. The developed sensor was proven to be of high sensitivity through experimental verification. The testing results show that, using the designed sensor, ferrous metal debris with a size of 115 μm and nonferrous metal debris with a size of 313 μm in a pipe with an inner diameter of 12.7 mm can be effectively detected. Moreover, the proposed inductive debris sensor structure has better sensitivity at higher throughput and its design provides a useful insight into the development of high-quality sensors with superior performances. Full article
(This article belongs to the Special Issue Sensors and Smart Devices for Structure Health Monitoring)
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Review

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17 pages, 2854 KiB  
Review
A Review of Gas Measurement Practices and Sensors for Tunnels
by Jorge J. Cepa, Rubén M. Pavón, Paloma Caramés and Marcos G. Alberti
Sensors 2023, 23(3), 1090; https://doi.org/10.3390/s23031090 - 17 Jan 2023
Cited by 3 | Viewed by 2400
Abstract
The concentration of pollutant gases emitted by traffic in a tunnel affects the indoor air quality and contributes to structural deterioration. Demand control ventilation systems incur high operating costs, so reliable measurement of the gas concentration is essential. Numerous commercial sensor types are [...] Read more.
The concentration of pollutant gases emitted by traffic in a tunnel affects the indoor air quality and contributes to structural deterioration. Demand control ventilation systems incur high operating costs, so reliable measurement of the gas concentration is essential. Numerous commercial sensor types are available with proven experience, such as optical and first-generation electrochemical sensors, or novel materials in detection methods. However, all of them are subjected to measurement deviations due to environmental conditions. This paper presents the main types of sensors and their application in tunnels. Solutions will also be discussed in order to obtain reliable measurements and improve the efficiency of the extraction systems. Full article
(This article belongs to the Special Issue Sensors and Smart Devices for Structure Health Monitoring)
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