Fatigue Life Prediction of Mechanical Components

Dear Colleagues,

Fatigue life prediction is a fundamental and enduring topic in mechanical engineering, as fatigue failure continues to be one of the predominant causes of degradation and malfunction in components operating under cyclic, variable, and multi-physics loading conditions. The rapid advancement in high-performance materials, precision manufacturing, and intelligent sensing technologies has created new opportunities to enhance the reliability, safety, and longevity of fatigue-sensitive structures across a wide range of engineering applications.

This Special Issue aims to assemble leading research that advances theoretical understanding, experimental characterization, numerical modeling, and data-driven methodologies for analyzing fatigue damage evolution and predicting the service life of mechanical components. It seeks to provide a comprehensive platform for scholars, engineers, and industry practitioners to disseminate their latest findings, foster interdisciplinary exchange, and promote technological innovation in fatigue assessment and structural durability.

Potential subtopics for this Special Issue include, but are not limited to, the following:

Fundamental Fatigue Mechanisms

• Multiscale investigation of fatigue crack initiation, propagation, and failure processes.
• Effects of microstructure, defects, and manufacturing-induced features on fatigue behavior.
• Environmental influences and multi-physics coupling effects on fatigue performance.

Fatigue Life Prediction Approaches

• High-cycle, low-cycle, and ultra-low-cycle fatigue modeling.
• Variable-amplitude loading analysis and spectrum-based fatigue life estimation.
• Physics-based, probabilistic, and machine-learning-enhanced prediction frameworks.

Experimental and Computational Techniques

• Advanced fatigue testing methodologies and full-field measurement technologies.
• High-fidelity finite element modeling, damage mechanics, and multiscale simulation strategies.
• Digital twin technologies and intelligent condition-monitoring systems for fatigue evaluation.

Engineering Applications

• Fatigue assessment of critical components in aerospace, automotive, energy, and manufacturing systems.
• Structural design optimization for improved fatigue resistance and durability.
• Case studies on failure analysis, life extension strategies, and reliability enhancement.

Dr. Zhen Li
Dr. Jiqiang Wu
Dr. Kun Shu
Guest Editors

Manuscript Submission Information

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