OpenTURNS — The Complete Guide: Reliability, Sensitivity and Probabilistic Models for Engineering
OpenTURNS is an open-source scientific library (LGPL-3.0 licence) in Python and C++ that adds a probabilistic dimension to deterministic engineering calculations. Instead of a single value for a load, a strength or a dimension, you define a distribution — and get a picture of the risk.
OpenTURNS
OpenTURNS consortium
A Python and C++ library for uncertainty treatment — probabilistic modelling, reliability, sensitivity and metamodels for engineering risk.
Get it from the vendorWhat you get
- Probabilistic modelling — distributions for uncertain parameters.
- Reliability — computing the probability of failure.
- Sensitivity analysis — which variables control the result.
- Metamodels — a fast approximation of a heavy model.
- Stochastic processes and optimisation — for more advanced problems.
Who it suits
OpenTURNS suits risk analysis and reliability-based design — for example when you want to know the probability of failure of a member, not just its safety factor. It is a library rather than a program with a graphical interface, so work is done in Python, most comfortably in JupyterLab. If you prefer a graphical interface around a finite element model, look at quoFEM.
Related tools
For a graphical interface for uncertainty analysis — quoFEM. For another optimisation and uncertainty package — Dakota. For the working environment — Python.
quoFEM
NHERI SimCenter
Uncertainty quantification around finite element models — sensitivity, Monte Carlo, Bayesian calibration and surrogates.
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Dakota
Sandia National Laboratories
A Sandia toolkit for optimisation, parameter studies, sensitivity analysis and uncertainty quantification around any simulation code.
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JupyterLab
Project Jupyter
Interactive computing notebooks — code, results, plots and explanations in one shareable document.
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Python
Python Software Foundation
The language behind most modern engineering computation, and its full ecosystem.
Get it from the vendorThe bottom line
OpenTURNS is a free and serious toolbox for uncertainty and reliability. It demands knowledge of statistics and Python, and gives back a deeper understanding of risk in design.