Fatigue Design Optimization

Fatigue Design Optimization: Fundamentals to Artificial Intelligence bridges the gap between traditional fatigue assessment methods and the need for modern, data-driven, and integrated design optimization. It offers a theoretically rigorous and practical approach, empowering engineers and researchers to accurately predict fatigue behavior, enhance structural safety, and achieve cost-effective design solutions. The book addresses inadequate and inconsistent fatigue design methods that often fail to accurately predict the fatigue life of materials and structures by offering a cohesive framework integrating stress-strain analysis with advanced optimization techniques. Robust methodologies for quantifying uncertainties and incorporating reliability analysis into fatigue design are provided, as are AI and multidisciplinary optimization methods to address real-world engineering challenges and improve decision-making processes. Advanced probabilistic models and computational techniques are outlined for more reliable fatigue estimations, and the book is written so that the solutions provided can be applied to a wide-range of materials and design conditions, including case studies from the aerospace, automotive, and civil engineering sectors.