Modeling Rate and State Friction with Python | SciPy 2016 | John Leeman

Friction plays a crucial role in a broad spectrum of natural and technological applications ranging from earthquakes to materials handling. Researchers working to understand frictional dynamics often develop their own software to solve specific problems with constitutive laws that include history and strain rate dependence, which has limited interdisciplinary comparison and community standards. We address these shortcomings with a Python implementation of the rate-and-state friction constitutive laws, including tools to handle multiple state variables, dynamic instability, and variations in friction rate dependence with slip velocity.

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Very nice presentation! Thank you for uploading this video.