Advances in Assessment and Health Monitoring of Construction Materials
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Materials Characterization".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 1
Special Issue Editors
Interests: Structural Health Monitoring (SHM); reinforced concrete; rehabilitation & strengthening of existing R.C. structures; Fiber-Reinforced Polymer (FRP); piezoelectric sensors; PZT; Electro-Mechanical Impedance (EMI); electro-mechanical admittance; Non-Destructive Testing (NDT); vertical forests
Special Issues, Collections and Topics in MDPI journals
Interests: construction materials; concrete; cement; reinforced concrete; smart materials; piezoelectric materials; piezoelectric sensor/actuator; finite element analysis; structural health monitoring; fiber reinforced concrete; concrete repair; reinforced concrete strengthening
Special Issue Information
Dear Colleagues,
Structural Health Monitoring (SHM) represents a compelling and rapidly evolving domain within the broader field of Non-Destructive Testing (NDT). Its practical implementation across diverse sectors continues to present notable challenges. At the same time, the deterioration of civil infrastructure and insufficient maintenance practices increase the likelihood of severe failures, posing risks to public safety and imposing substantial economic burdens for repair and rehabilitation. Consequently, advancing NDT technologies to enhance the accuracy, robustness, and reliability of SHM systems has become an urgent and essential priority for the protection and sustainability of our built environment.
This Special Issue aims to showcase recent advances in Assessment and Health Monitoring of Construction Materials and highlight state-of-the-art developments in the field. We also encourage the submission of research introducing novel or emerging methodologies. In particular, contributions that explore the integration of machine learning algorithms into established SHM frameworks are highly welcomed.
Manuscripts addressing the following topics—among others—will be considered for publication:
- Structural Health Monitoring (SHM);
- Damage Detection;
- Residual Service Life (RSL) Assessment;
- Machine Learning Algorithms;
- Vibration-Based SHM;
- Acoustic Emission (AE);
- Wave-Based SHM;
- Electro-Mechanical Impedance (EMI);
- Computer Vision-Based SHM;
- Piezoresistive Sensing;
- Fiber Bragg Grating (FBG) Sensors.
Dr. Nikos Papadopoulos
Dr. Maristella E. Voutetaki
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 250 words) can be sent to the Editorial Office for assessment.
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
- Structural Health Monitoring (SHM)
- Non-Destructive Testing (NDT)
- Residual Service Life (RSL)
- machine learning algorithms
- structural integrity assessment
- Electro-Mechanical Impedance (EMI)
- Acoustic Emission (AE)
- piezoresistive sensing
- vibration-based SHM
- computer vision-based SHM
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