Advances in the Nondestructive Testing of Construction and Building Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Materials Characterization".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 155
Special Issue Editor
Interests: non-destructive testing; advanced materials; structures and technologies; acoustic emission method; new building materials; sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the development of composite building materials has significantly improved their properties. Breakthroughs in novel technologies, such as building materials from waste materials, artificial intelligence, low-carbon technologies, and resilient structures, provide new opportunities for the development of civil engineering disciplines and their monitoring. This Special Issue aims to present the latest findings on developing and testing building materials and solutions to problems associated with achieving sustainability in civil engineering.
Non-destructive methods are typically used to characterize defects arising in construction materials during manufacturing or use. This allowed us to predict possible failures and, therefore, early remedial action. Each NDT method has its own detection and characterization potential. Depending on the damage mechanism used or the in situ conditions, one method may be preferred over another, or several methods may be combined to improve the diagnosis of the damage condition of the structure or material under investigation.
It is my pleasure to invite you to submit original manuscripts for this Special Issue, which will focus on gathering knowledge and experience on the latest advances and trends in the above areas. In this Special Issue, original research articles and reviews are welcomed. Research areas may include (but are not limited to) the following.
- Testing of building materials and elements in building engineering;
- Testing of structures made of novel concrete materials (e.g., green concrete, alkali-based concrete, etc.);
- Real-time damage detection and imaging;
- Novel algorithms for non-destructive testing (NDT) data analysis;
- Artificial intelligence and machine learning applications for data analysis from NDT measurements;
- Health and stability monitoring in building engineering using NDT methods;
- Other non-destructive testing methods for composite materials.
We look forward to your contributions.
Dr. Libor Topolář
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. Materials 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
- non-destructive testing of new or traditional building materials
- structural health monitoring
- hybrid non-destructive characterization
- defect detection and characterization
- damage evaluation
- artificial intelligence and machine learning
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