PySTRA: Python structural reliability analysis

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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Publication Details

Journal
SoftwareX
Published
2025-01-29
DOI
https://doi.org/10.1016/j.softx.2025.102047
Citations
4
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
4.20
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article

PySTRA: Python structural reliability analysis

Colin C. Caprani, Mohammad Shihabuddin Khan, Jürgen Hackl
4 citations
SoftwareX
Probabilistic and Robust Engineering Design
4.20
article

PySTRA: Python structural reliability analysis

Colin C. Caprani, Mohammad Shihabuddin Khan, Jürgen Hackl
article en
4 citations

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.

SoftwareXVol. 29
Princeton University (US), Victoria University of Wellington (NZ), Monash University (AU)
Openalex Percentile: Top 7%
Probabilistic and Robust Engineering Design
4.20
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