Data-Driven Material Investigations: Understanding Fatigue Behavior
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Co-Guest Editors: Antonio Kontsos
Publication Date: July 2018
Keywords: Characterization,Computational Materials Science & Engineering,Experimental Methods,ICME,Modeling and Simulation
Scope: This JOM topic will describe state-of-the-art methods for collecting, mining, and/or analyzing data sets—both experimental and numerical—for which conventional fatigue analyses are unsuitable. The topic will provide a platform to highlight both the challenges and opportunities associated with the analysis of large and/or complex data sets and how researchers in the fatigue community are working to address these challenges through data-driven approaches.