Fatigue failure is a critical concern in engineering design, particularly in industries where materials are subjected to cyclic loading and unloading. Steel, being one of the most commonly used structural materials, experiences fatigue over time due to repeated stress cycles. Understanding and predicting the fatigue behavior of steel is of utmost importance for ensuring the reliability and safety of various structures. Traditional fatigue testing methods are time-consuming and costly, prompting the development of computational techniques to expedite the design process. Multiscale modeling has emerged as a powerful tool to simulate and predict the fatigue behavior of steel across different length scales, from the atomic level to the macroscopic structure. This article explores the concept of multiscale modeling in the context of steel fatigue, highlighting its benefits, challenges and applications. By combining insights from various scales, multiscale modeling offers a comprehensive understanding of fatigue mechanisms, leading to more accurate predictions and improved material design.
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Journal of Steel Structures & Construction received 583 citations as per Google Scholar report
