An Innovative Algorithm for Damage Mapping in Multiaxial Fatigue Using the Stress Scale Factor (SSF) Concept

Predicting damage to materials under multiaxial fatigue is a complex challenge, especially when normal and shear stresses interact in dynamic and non-linear ways. Traditional methods often oversimplify these interactions, leading to less reliable fatigue predictions and limiting their usefulness in real-world applications. To address this, we present a novel algorithm based on the principles of the Stress Scale Factor (SSF), designed to dynamically evaluate the relative contributions of normal and shear stresses to fatigue damage. By providing a more accurate mapping of multiaxial fatigue damage, this approach enables improved predictions of fatigue life. The methodology combines experimental insights with mathematical modeling to create a flexible and adaptive framework. By making it possible to map multiaxial fatigue damage with greater precision, this SSF-based approach not only enhances the understanding of fatigue behavior but also enables better design decisions. The result is safer, more reliable, and efficient structures across a range of applications. This study bridges the gap between theoretical methods and practical needs, offering engineers and researchers a powerful tool to improve fatigue analysis and optimize structural performance.