Advanced Mechanical Materials: Damage Identification and Fatigue Life Prediction
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Mechanics of Materials".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 24
Special Issue Editors
Interests: innovative design of major equipment; damage mechanisms of complex structures; intelligent in situ monitoring; machine vision technology
Special Issues, Collections and Topics in MDPI journals
Interests: fatigue life prediction; intelligent monitoring systems; composite material; intelligent algorithms; digital twins
Interests: digital twins; status monitoring; dynamic analysis; bearings
Special Issue Information
Dear Colleagues,
Over the past few decades, the enhancement of mechanical performance in major equipment has remained a hot topic in this industry. Structural damage can significantly affect the service life of equipment, making damage identification and fatigue life prediction particularly critical. In recent years, the field of intelligent structural state sensing and monitoring has garnered increasing attention.
This Special Issue aims to cover the latest research on damage identification and fatigue life prediction in major equipment, with a focus on manufacturing processes, material structures, multiscale performance characterization and modeling, machine vision recognition, and big data algorithms. Studies at both the microscale (pore level) and macroscale (structural component/structure level) are of interest, along with research on mechanical properties, cracks, damage, time-dependent phenomena (shrinkage, creep, fatigue), aging, and durability performance.
This Special Issue, ‘Advanced Mechanical Materials: Damage Identification and Fatigue Life Prediction’, seeks to bring together original research and review articles on recent advances, technologies, solutions, applications, and emerging challenges in structural damage identification and life prediction, disseminating the latest knowledge on these issues. Outstanding contributions will establish a new research foundation for newer researchers and leading experts in this field.
Prof. Dr. Junzhou Huo
Guest Editors
Dr. Bowen Yang
Dr. Zhange Zhang
Dr. Ye Zhu
Guest Editors Assistant
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
- major equipment
- mechanical performance
- fatigue damage
- life prediction
- machine vision
- digital twin
- composite materials
- intelligent operation and maintenance
- health monitoring
- interdisciplinary research
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