PY_Analysis | element implementation of the py method
kandi X-RAY | PY_Analysis Summary
kandi X-RAY | PY_Analysis Summary
PY_Analysis is a Jupyter Notebook library. PY_Analysis has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
This module has finite-difference and finite-element implementations of the p-y method to analyze laterally loaded pile foundations. It was originally written in Python 2.7 but this branch has been re-written for Python 3.7+. The objective of writing this software was to carry out p-y analyses of laterally loaded pile foundations for my PhD dissertation. There are several commercially available software to carry this type of analyses but, they are restricted by the p-y models (non-linear soil springs) that are included in their databases. As a researcher, I needed a way to implement and evaluate the performance of some of the newer p-y models, that have been published in the literature, under various conditions and this software provides an easy framework to achieve this goal. The current version of this module has several limitations which are detailed within the individual functions. The static analysis component has been fully implemented (in the elastic range of the pile) and verified for a variety of piles, soil types, and p-y models. A dynamic analysis module which can calculate the natural frequency of wind turbine structures that are founded on monopiles (based on solving the associated eigen value problem) is currently being developed and will be added soon. A Jupyter notebook with several examples are provided as a tutorial to get started.
This module has finite-difference and finite-element implementations of the p-y method to analyze laterally loaded pile foundations. It was originally written in Python 2.7 but this branch has been re-written for Python 3.7+. The objective of writing this software was to carry out p-y analyses of laterally loaded pile foundations for my PhD dissertation. There are several commercially available software to carry this type of analyses but, they are restricted by the p-y models (non-linear soil springs) that are included in their databases. As a researcher, I needed a way to implement and evaluate the performance of some of the newer p-y models, that have been published in the literature, under various conditions and this software provides an easy framework to achieve this goal. The current version of this module has several limitations which are detailed within the individual functions. The static analysis component has been fully implemented (in the elastic range of the pile) and verified for a variety of piles, soil types, and p-y models. A dynamic analysis module which can calculate the natural frequency of wind turbine structures that are founded on monopiles (based on solving the associated eigen value problem) is currently being developed and will be added soon. A Jupyter notebook with several examples are provided as a tutorial to get started.
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PY_Analysis has a low active ecosystem.
It has 4 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of PY_Analysis is current.
Quality
PY_Analysis has no bugs reported.
Security
PY_Analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
PY_Analysis is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
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PY_Analysis releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PY_Analysis
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of PY_Analysis
PY_Analysis Key Features
No Key Features are available at this moment for PY_Analysis.
PY_Analysis Examples and Code Snippets
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