Pystra is built on PyRe by Jürgen Hackl FERUM4.1 by Jean-Marc Bourinet FERUM by Terje Haukaas and Armen Der Kiureghian.Ĭopyright 2021 The Pystra Developers. InĪddition, it contains a list of the statistical distributions currently Reliability model, run the sampler, save and visualize the results. This Documentation provides all the information needed to install Pystra, code a Pystra can be embedded in larger programs, and results can be analyzed.Traces can be saved to the disk as plain text.Correlation between the random variables are possible.No limitation on the limit state function.Uses NumPy for numerics wherever possible.Includes a large suite of well-documented statistical distributions.Perform reliability analysis with Crude Monte Carlo Simulation.Perform reliability analysis with different kinds of Reliability Methods.Here is a short list of some of its features: Pystra provides functionalities to make structural reliability analysis as easyĪs possible. Pystra is also closely integrated with the usual python scientific packages workflow, numpy and scipy in particular, all statistical distributions in Scipy can be used in reliability modeling. Along with core reliability analysis functionality, Pystra Its flexibility and extensibility make it applicable to a large Pystra (Python Structural Reliability Analysis) is a python module for structural reliability analysis. Pystra - Python Structural Reliability Analysis

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