PySTRA: Python structural reliability analysis

Colin Caprani; Mohammad Shihabuddin Khan; Jürgen Hackl

doi:10.1016/j.softx.2025.102047

PySTRA: Python structural reliability analysis

Colin Caprani, Mohammad Shihabuddin Khan, Jürgen Hackl

Civil & Environmental Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Structural reliability methods enable probabilistic analysis and design of structures. Furthermore, these methods are essential for the calibration of structural design codes. PySTRA (Python Structural Reliability Analysis) is a free and open-source Python package for structural reliability analysis. Its flexibility and extensibility make it applicable to an extensive suite of problems. Along with core reliability analysis functionality, PySTRA includes methods for summarizing output. PySTRA is also closely integrated with the widely-used Python scientific packages such as NumPy, SciPy, and Pandas. This paper discusses the architecture, functionality, and basic usage for PySTRA. PySTRA is highly useful for reliability engineering scientists and practitioners, particularly structural engineers.

Original language	English (US)
Article number	102047
Journal	SoftwareX
Volume	29
DOIs	https://doi.org/10.1016/j.softx.2025.102047
State	Published - Feb 2025

All Science Journal Classification (ASJC) codes

Software
Computer Science Applications

Keywords

First order reliability method
Pystra
Python
Reliability engineering
Structural reliability

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10.1016/j.softx.2025.102047

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abstract = "Structural reliability methods enable probabilistic analysis and design of structures. Furthermore, these methods are essential for the calibration of structural design codes. PySTRA (Python Structural Reliability Analysis) is a free and open-source Python package for structural reliability analysis. Its flexibility and extensibility make it applicable to an extensive suite of problems. Along with core reliability analysis functionality, PySTRA includes methods for summarizing output. PySTRA is also closely integrated with the widely-used Python scientific packages such as NumPy, SciPy, and Pandas. This paper discusses the architecture, functionality, and basic usage for PySTRA. PySTRA is highly useful for reliability engineering scientists and practitioners, particularly structural engineers.",

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PySTRA: Python structural reliability analysis

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All Science Journal Classification (ASJC) codes

Keywords

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