Topic Editors
Advanced Failure Analysis of Materials
Topic Information
Dear Colleagues,
Failure analysis plays a critical role in understanding the reliability, safety, and long-term performance of materials and engineering systems. Beyond the identification of fracture origins or degradation mechanisms, modern failure analysis increasingly relies on advanced analytical methodologies capable of linking microstructural characteristics, processing history, environmental exposure, and service conditions to the observed failure modes.
The Topic “Advanced Failure Analysis of Materials” aims to highlight recent advances in experimental, analytical, and computational approaches that enable a deeper understanding of material degradation processes across multiple lengths and time scales. Particular attention is given to the development and application of advanced characterization techniques, correlative analysis strategies, and data-driven methodologies that support quantitative diagnostics and predictive assessment of structural integrity.
Materials may fail through a wide range of mechanisms, including fatigue, fracture, creep, corrosion, wear, environmentally assisted degradation, and defect-driven damage accumulation. These processes often originate from complex interactions among microstructures, interfaces, defects, residual stresses, and operational environments. The rapid development of advanced materials systems—including high-performance alloys, functional coatings, composites, polymers, nanostructured materials, and additively manufactured components—requires increasingly sophisticated analytical tools for failure identification, interpretation, and prediction.
This Topic welcomes contributions addressing advanced materials characterization and failure diagnostics, including electron and ion microscopy, fractography, X-ray and neutron tomography, spectroscopy, correlative and multimodal microscopy, residual stress analysis, and in situ or operando experimental techniques. Contributions involving multiscale modelling, numerical simulations, data analytics, and artificial intelligence approaches for failure detection and interpretation are also encouraged.
By integrating fundamental materials analysis with engineering reliability and structural integrity assessment, this Topic aims to provide a multidisciplinary platform for advancing the scientific understanding of material failure and improving the predictive evaluation of material performance in sectors such as aerospace, energy, infrastructure, automotive, electronics, and biomedical technologies.
Dr. Franco Concli
Dr. Isaac J. Hong
Topic Editors
Keywords
- failure analysis
- materials characterization
- fractography
- microstructural defects
- correlative microscopy
- X-ray tomography
- residual stress analysis
- structural integrity
- fatigue and fracture
- degradation mechanisms
- additive manufacturing defects
- in situ diagnostics
- multiscale modelling
- data-driven materials analysis
- artificial intelligence in failure diagnostics
Participating Journals
| Journal Name | Impact Factor | CiteScore | Launched Year | First Decision (median) | APC | |
|---|---|---|---|---|---|---|
Alloys
|
- | 4.1 | 2022 | 24 Days | CHF 1200 | Submit |
Applied Mechanics
|
1.8 | 3.5 | 2020 | 25.6 Days | CHF 1400 | Submit |
Buildings
|
3.4 | 5.6 | 2011 | 14.7 Days | CHF 2600 | Submit |
Journal of Experimental and Theoretical Analyses
|
- | - | 2023 | 21.4 Days | CHF 1000 | Submit |
Materials
|
3.7 | 7.0 | 2008 | 14.4 Days | CHF 2600 | Submit |
Metals
|
3.1 | 5.7 | 2011 | 15.3 Days | CHF 2600 | Submit |
Sci
|
4.1 | 5.4 | 2019 | 28.2 Days | CHF 1400 | Submit |
Preprints.org is a multidisciplinary platform offering a preprint service designed to facilitate the early sharing of your research. It supports and empowers your research journey from the very beginning.
MDPI Topics is collaborating with Preprints.org and has established a direct connection between MDPI journals and the platform. Authors are encouraged to take advantage of this opportunity by posting their preprints at Preprints.org prior to publication:
- Share your research immediately: disseminate your ideas prior to publication and establish priority for your work.
- Safeguard your intellectual contribution: Protect your ideas with a time-stamped preprint that serves as proof of your research timeline.
- Boost visibility and impact: Increase the reach and influence of your research by making it accessible to a global audience.
- Gain early feedback: Receive valuable input and insights from peers before submitting to a journal.
- Ensure broad indexing: Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.
