Special Issue "Nondestructive Technologies for Complex Engineering Structure Health Monitoring and State Prediction"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Industrial Sensors".
Deadline for manuscript submissions: 20 January 2024 | Viewed by 2577
Special Issue Editors
Dr. Nan Li
Interests: nondestructive testing and evaluation; sensor design and optimization
Interests: intelligent sensing; NDT
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Qi Wang
Interests: intelligent information processing and process tomography
Interests: electromagnetic nondestructive evaluation
Special Issue Information
Dear Colleagues,
The health status and state prediction of key engineering structures, which generally have complex geometries, are vital to the safety of important equipment. The ongoing development of nondestructive sensing technologies (including magnetic sensors, optical sensors, and vibrational sensors) and state prediction technologies (such as AI algorithms) help realize the monitoring and evaluation of health structures. With the emergence of new materials (e.g., composite and flexible materials), new manufacturing technologies (e.g., additive manufacturing), and new applications (e.g., deformable structures and multi-scale structures), the research of related technologies has become a hot spot.
This Special Issue seeks to gather the latest developments in nondestructive health monitoring technologies and new processing methods for the state prediction of the complex engineering structure. This Special Issue will cover, but not be limited to, the following areas:
- Quality evaluation of ferromagnetic material additive manufacturing;
- Quality and health evaluation of ferromagnetic alloyed weld;
- AI algorithms in structural health monitoring and state prediction;
- Digital twin technologies;
- Advanced system design and signal processing;
- Robot carried automated NDT system;
- Structural health monitoring of carbon fiber reinforced polymer (CFRP);
- Visualization and interpretation of structural health monitoring data.
Dr. Nan Li
Prof. Dr. Yunze He
Prof. Dr. Qi Wang
Dr. Yujue Wang
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.
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: Performance Analysis for Acoustic Emission Source Localization without Knowing Material Properties
Authors: Xiaoran Wang; Fang Yin; Zhishuai Wan
Affiliation: Beijing Key Laboratory of Lightweight Multi-Functional Composite Materials and Structures, Institute of Advanced Structure Technology, Beijing Institute of Technology, Beijing 100081, China
Abstract: Damage localization method of composite materials is a hot research topic at present. One of the development directions is to locate the damage without knowing material properties. However, there are few algorithms in this area, and the localization performance needs further study. In this paper, the localization performance of the time difference blind localization method which utilizes six sensors to locate the acoustic emission source in composite material plate without knowing the wave velocity is studied. The influence on localization performance of three pa-rameters such as the distance between the sensor and the acoustic emission source, sensor spac-ing and the material anisotropy are discussed. The reason for the error of the time difference blind localization method is analyzed. The analysis results are verified by simulation and ex-periment. The results show that the error of this method will be large when the acoustic emis-sion velocity of the composite material in different directions differs greatly. Reducing the sen-sor spacing and the distance between the sensor and the acoustic emission source will reduce the error.
