FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES
Scope & Guideline
Advancing Insights in Fatigue and Fracture Mechanics
Introduction
Aims and Scopes
- Fatigue Behavior Analysis:
The journal extensively covers the study of fatigue behavior in various materials, including metals, polymers, ceramics, and composites, under different loading conditions and environmental factors. - Fracture Mechanics:
Research related to fracture mechanics, including crack initiation and propagation, is a core focus. This encompasses both theoretical modeling and experimental studies to understand failure mechanisms. - Material Characterization:
The journal emphasizes the importance of material characterization techniques to assess mechanical properties, microstructural features, and their influence on fatigue and fracture behavior. - Advanced Manufacturing Techniques:
There is a strong interest in the effects of advanced manufacturing processes, such as additive manufacturing, on the fatigue and fracture properties of materials. - Multiaxial Loading Conditions:
Studies involving multiaxial loading conditions and their impact on fatigue and fracture are frequently published, highlighting the complexity of real-world applications. - Machine Learning Applications:
The journal explores the integration of machine learning and data-driven approaches in predicting fatigue life and understanding fracture mechanisms, showcasing novel methodologies. - Environmental Effects on Fatigue:
Research investigating the influence of environmental factors, such as corrosion and temperature, on fatigue life and fracture behavior is a significant aspect of the journal's scope.
Trending and Emerging
- Additive Manufacturing and Fatigue:
A significant rise in studies examining the fatigue properties of additively manufactured components, highlighting the unique challenges posed by layer-wise construction and residual stresses. - Machine Learning and AI in Fatigue Prediction:
An increasing number of publications are exploring the application of machine learning and artificial intelligence for predicting fatigue life and analyzing fracture data. - Environmentally-Induced Fatigue:
Research focused on the effects of environmental factors, such as corrosion and temperature fluctuations, on fatigue performance has gained prominence, reflecting industry needs. - Multiscale Modeling Approaches:
There is a growing trend toward utilizing multiscale modeling techniques that bridge microstructural behaviors with macroscopic material properties to better predict fatigue and fracture. - Sustainability and Recycling in Materials:
Emerging interest in the fatigue behavior of recycled and sustainable materials as industries aim to reduce waste and improve material lifecycle management. - Advanced Characterization Techniques:
The use of advanced characterization methods, such as digital image correlation and synchrotron radiation, to study fatigue and fracture mechanisms is increasingly prevalent.
Declining or Waning
- Traditional Material Testing Methods:
There appears to be a waning interest in conventional fatigue testing methods, as researchers increasingly adopt advanced computational modeling and machine learning techniques. - Static Fracture Mechanics:
Research focused solely on static fracture mechanics, without consideration of dynamic or fatigue aspects, has seen a decline, as the field moves towards more integrated approaches. - Low-Cycle Fatigue Studies:
The frequency of studies solely addressing low-cycle fatigue mechanisms has decreased, with more emphasis being placed on high-cycle and very-high-cycle fatigue behavior. - Homogeneous Material Studies:
Research that exclusively examines homogeneous materials, without considering the complexities of composite or heterogeneous materials, has become less prominent.
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