Smart Sensors for Structural Health Monitoring and Nondestructive Evaluation: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 30 June 2024 | Viewed by 1239
Special Issue Editor
Interests: ultrasonic nondestructive testing and evaluation; structural health monitoring; signal processing; smart sensors development; electromagnetic inspection
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural health monitoring (SHM) and nondestructive evaluation (NDE) technologies can be used to identify defects or damages and evaluate the health of components or systems to avoid structural failure or catastrophes. Sensors are widely used to collect information about the status of engineering components and systems. The development and application of sensors are key research topics in the areas of SHM and NDE. This Special Issue will collect recent research exploring the use of sensors for SHM and NDE.
We look forward to receiving papers on a wide range of research topics including, but not limited to, the following:
- Sensors and sensor arrays;
- Sensor modeling and simulation;
- SHM systems and technology;
- Nondestructive testing and evaluation;
- Structure diagnosis and performance evaluation;
- Signal processing;
- Artificial intelligence applications in SHM and NDE;
- System and instrument development;
- Field applications of SHM and NDE.
For this Special Issue, you are also welcome to submit review papers reporting on sensor development and applications in SHM and NDE.
Prof. Dr. Zenghua Liu
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
- nondestructive evaluation/testing
- sensor
- sensor array
- detection
- finite element simulation
- signal processing
- system development
- artificial intelligence
- field applications
Related Special Issue
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Ultrasonic nondestructive testing methodologies for ultrasonic sensors in high temperature production and manufacturing industries
Authors: Gaofeng Sha , Bernhard Tittmann , and Cliff Lissenden
Affiliation: Department of Engineering Science and Mechanics, Penn State, University Park, Pennsylvania 16802, U.S.A.
Abstract: Nondestructive testing (NDT) of high temperature nuclear structures has been a challenging task due to the harsh reactor environment. Recent studies have identified aluminum nitride (AlN) as a promising alternative for in-reactor nondestructive evaluation. However, implementation of NDT of structures in harsh environments is still in progress. In this project, we describe a method suitable for inspection of a metal target in a research reactor using an AlN-based immersion transducer, specifically to detect a target surface anomaly. First, a high-frequency AlN transducer with simple architecture is proposed for practical NDT application in a research reactor. To optimize the transducer and test design, multi-physics finite element modeling (FEM) was performed with different design variables. Furthermore, a signal subtraction technique was proposed to improve the signal-to-noise ratios (SNRs) of the target echo and the bump echo based on modeled transducer signals. Inspection resolution on a planar surface anomaly is also investigated by FEM. Laboratory experiments were finally conducted to verify modeled transducer signals and proposed signal processing concepts. Both modeling and experiment demonstrate that the target surface echo and bump echo can be clearly identified after design optimization and signal processing
