Article ID Journal Published Year Pages File Type
4963896 Computer Methods in Applied Mechanics and Engineering 2017 41 Pages PDF
Abstract
In addition, the authors address the longstanding challenge of developing a data-driven approach applicable to problems that involve unacceptable computational expense when solved by standard analysis methods - e.g. finite element analysis of representative volume elements involving plasticity and damage. In these cases the framework includes the recently developed “self-consistent clustering analysis” method in order to build large databases suitable for machine learning. The authors believe that this will open new avenues to finding innovative materials with new capabilities in an era of high-throughput computing (“big-data”).
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
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