achiocca1 / CPOpt-v1.0

This repository provides the CPOpt method, an efficient algorithm for calculating critical plane factors in fatigue analysis. CPOpt reduces computation time by using tensor invariants and coordinate transformations, making it ideal for complex geometries and time-sensitive applications. The repository includes code, validation data, and examples.

Home Page:https://www.sciencedirect.com/science/article/pii/S0020740322008529

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CPOpt

This repository contains the implementation of the CPOpt method, an efficient algorithm designed to optimize the calculation of critical plane factors for fatigue assessment. Traditional critical plane methods are often time-consuming due to the use of nested loops, making them impractical for complex geometries or time-sensitive applications. CPOpt addresses this challenge by using tensor invariants and coordinate transformation laws to streamline the process, significantly reducing computation time while maintaining accuracy.

This method is applicable to various critical plane factors that require parameter maximization based on stress and strain components. The repository includes the algorithm, validation data, and examples, demonstrating its effectiveness across different geometries and loading conditions.

CPOpt is a valuable tool for both researchers and engineers working on fatigue analysis in demanding industrial contexts.

The mathematical procedure is described in the article:

A. Chiocca, F. Frendo, G. Marulo, "An efficient algorithm for critical plane factors evaluation", International Journal of Mechanical Sciences, Volume 242, 2023, 10.1016/j.ijmecsci.2022.107974.

Bug reports and suggestions are welcome! This software is regularly maintained.

Contact me at andrea.chiocca@unipi.it if you need assistance or you need to implement a specific critical plane model within the code.

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This repository provides the CPOpt method, an efficient algorithm for calculating critical plane factors in fatigue analysis. CPOpt reduces computation time by using tensor invariants and coordinate transformations, making it ideal for complex geometries and time-sensitive applications. The repository includes code, validation data, and examples.

https://www.sciencedirect.com/science/article/pii/S0020740322008529

License:GNU General Public License v3.0


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