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Applied Sciences
Special Issues
Advanced Sensing Technology for Structural Health Monitoring
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Advanced Sensing Technology for Structural Health Monitoring

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: 30 August 2024 | Viewed by 697

Special Issue Editors

Dr. Shang Gao

E-Mail Website
Guest Editor
School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Interests: wireless sensor networks; structural health monitoring; shock wave monitoring
Prof. Dr. Xuewu Dai

E-Mail Website
Guest Editor
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, China
Interests: networked control and optimal scheduling; robust adaptive signal processing; state estimation; machine learning for scheduling; applications to industrial internet of things; condition monitoring; precise time synchronization; wireless communication and wireless networked control system; intelligent railway transportation; train traffic scheduling
Dr. Xiaotian Chen

E-Mail Website
Guest Editor
School of Mechanical and Electrical Engineering, Sichuan University, Chengdu, China
Interests: structural health monitoring; non-destructive testing; tomography; sensor platform development based on Mixed Reality (MR)

Special Issue Information

Dear Colleagues,

Structural health monitoring (SHM) aims to develop automated systems for the continuous monitoring, inspection, and damage detection of structures with minimum labour involvement. However, there are several challenges in creating such advanced sensing technologies for monitoring various physical or chemical parameters related to the health and durable service life of structures. Therefore, this Special Issue aims to present new ideas and experimental results in the field of advanced sensing technology theory which might contribute to its practical application.

This Special Issue will publish high-quality original research papers in the following relevant and interrelated fields, including, but not limited to, detection diagnosis, damage detection and imaging, fiber optic sensors, piezoelectric sensors, magnetostrictive sensors, strain sensors, pressure sensors, microwave sensors, and instrumentation and measurement. Non-destructive testing is also another topic of interest.

Dr. Shang Gao
Prof. Dr. Xuewu Dai
Dr. Xiaotian Chen
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. Applied Sciences 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 2400 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
  • smart sensor
  • detection diagnosis
  • damage detection and imaging
  • fiber optic sensors
  • piezoelectric sensors
  • magnetostrictive sensors
  • strain sensors
  • pressure sensors
  • microwave sensors

Published Papers (1 paper)

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Research

22 pages, 6072 KiB  
Article
Triaxial Load Cell for Ergonomic Risk Assessment: A Study Case of Applied Force of Thumb
by Mario Acosta-Flores, Martha Roselia Contreras-Valenzuela, J. Guadalupe Velásquez-Aguilar, Francisco Cuenca-Jiménez and Marta Lilia Eraña-Díaz
Appl. Sci. 2024, 14(10), 3981; https://doi.org/10.3390/app14103981 - 8 May 2024
Viewed by 300
Abstract
To assess the ergonomic risk level in work systems involving tasks performed with hands or fingers, it is necessary to know the exerted triaxial forces. To address this need, a prototype of a triaxial load cell based on principles of linear elasticity theory [...] Read more.
To assess the ergonomic risk level in work systems involving tasks performed with hands or fingers, it is necessary to know the exerted triaxial forces. To address this need, a prototype of a triaxial load cell based on principles of linear elasticity theory and mechanical problems of torsion, bending and axial load is presented. This work includes an analytical strain model for each instrumented point and its solution regarding the applied force to a triaxial load cell. The proposed load cell was calibrated and validated by performing different static experimental tests. As a case study, the applied force in three directions while the thumb activates a cigarette lighter was measured. Triaxial forces and resultant forces were obtained and compared with the parameter of 10 N established by the ergonomic standards as reference values for pressing down with the thumb, finding that the applied forces in eight tests were 23.73 N, 43.51 N, 12.69 N, 14.50 N 20.35 N, 21.67 N, 39.74 N and 46.02 N, exceeding the reference values and establishing a direct relationship with Quervain syndrome. In conclusion, the developed load cell is a valid and reliable alternative to measure many forces that cannot be obtained with commercial devices, allowing the level of ergonomic risk to be determined with great precision. Full article
(This article belongs to the Special Issue Advanced Sensing Technology for Structural Health Monitoring)
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