Structural integrity and reliability assessment of vital components are becoming increasingly crucial in engineering design and equipment evaluation as the requirement for safety and reliability of significant equipment such as aviation engines, steam turbines, nuclear reactors, turbine discs, blades, reactor pressure vessels, and impellers, are the primary focus of efforts to ensure the safety, operational reliability, and lifecycle costs of large-scale equipment, which must be ensured throughout their entire operating lifecycles, including during maintenance and overhaul.

Fatigue, creep, corrosion, wear, and thermal aging are examples of aging failure mechanisms that must be considered when designing essential component mechanical characteristics and structural resistance. Continued improvements in structural integrity and reliability assessment of critical components have been made possible by developing next-generation significant equipment. This has been made possible by accurately modeling multi-physics failure mechanisms and introducing advanced processing approaches based on either deterministic or probabilistic analyses, respectively. Investigations into critical components reliability and performance deterioration should be undertaken based on Physics of Failure (PoF)-based and data-driven systems to maximize vital components lifetime while also optimizing inspection and maintenance plans. Failure arises due to the combined effects of multiple sources of uncertainty, such as variations in load and usage, material properties, geometry variations within tolerances, and other uncontrollable variations. Advanced approaches for theoretical, computational, and experimental contributions that address these issues are desired and expected to address these concerns of structural integrity and reliability assessment of essential components.

This Special Issue aims to provide an overview of the field's current state and to develop a roadmap for where the research is headed. It also aims be to identify issues, discuss potential solutions, and provide the data, models, and tools necessary to perform statistically reliable life prediction and integrity assessment. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Fatigue and fracture analysis
• Durability and damage tolerance
• Structural integrity assessment
• High-temperature fatigue
• Creep-fatigue interaction
• Physics-of-Failure modeling and analysis
• Multi-physics damage modeling and analysis
• Uncertainty quantification and propagation
• Structural reliability analysis
• Reliability theory and application
• Probabilistic PoF modelling
• Reliability testing and statistics
• Prognostics and health management
• Life prediction
• Reliability-based design optimization
• Multidisciplinary design optimization
• Performance degradation modeling and analysis