Quantifying Uncertainties in Parameterizations of Strength Models of Rolled Homogeneous Armor: Part 3, Python-Based Workflow
Technical Report,01 Oct 2017,30 Sep 2019
US Army Combat Capabilities Development Command Army Research Laboratory Aberdeen Proving Ground United States
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This report describes a workflow, based on the Python language and the Bayesian software tools PyStan and PyMC3, that has been used to obtain information on strength model parameters in rolled homogeneous armor that can be used in uncertainty propagation analyses. This workflow is supplemented with an illustration of how an approximate interval predictor model can be implemented using the Python software package SciPy. It is hoped that this workflow may serve as a source of example code for other CCDC Army Research Laboratory researchers who wish to obtain results that facilitate uncertainty quantification.
- Computer Programming and Software