Special Issue "Advances in Acoustic Emission Testing and Evaluation of Materials and Structures"
Deadline for manuscript submissions: closed (20 January 2023) | Viewed by 17016
Interests: acoustic emission testing and evaluation; surface wave methods, Integrated elastic wave methodologies for structural assessment; database modelling and analysis for structural risk; low-carbon and smart concrete materials; repair and strengthening
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Special Issue in Buildings: Advances in Masonry Structures
This Special Issue invites original articles that report and discuss the latest developments in the research and implementation of the acoustic emission technique (AET) in the condition assessment and health monitoring of materials and structures. The AET relies on the monitoring of transient elastic waves caused by the release of strain energy signatures from physical events such as fracture, cracking, and friction movements between interfaces in materials or structures. Analysis of the acquired wave data, depending on the nature of the methodical approach, serves a multitude of purposes ranging from damage detection and localization to fracture characterization and failure mode prediction.
Contemporary instrumentation and data analysis for AET have expanded its flexibility further in many aspects to accommodate even some of the most challenging in situ environments commonly found in the built environment and energy sectors, essentially including civil infrastructures such as bridges and dams, as well as assemblies for energy generation such as offshore platforms and wind as well as marine renewable energy structures.
Hence, contributions in the following topics are sought after for this Special Issue. The list is however not exhaustive and should cover other topics that offer insights in a broader perspective of the development and implementation of AET.
- Damage detection and localization;
- Case studies on in situ implementation;
- Composite material characterization and fracture mechanics correlations;
- Structural behavior and failure mode interpretation;
- Integrated application with other assessment methods;
- Use of machine learning/big data analytics in data analysis;
- Numerical modeling and analytical study of AE occurrence.
Dr. Hwa Kian Chai
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 2300 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.
- source localization
- fracture characterization
- machine learning
- integrated assessment
- numerical modeling
- quantitative damage evaluation