A Python module for PENalty-based GLuing of Isogeometric Non-matching Shells (where the lower-case "o" is added for pronunciation; pronounced like "pangolins", mammals that are covered in large, protective scales). This framework performs isogeometric analysis (IGA) for collections of non-matching Kirchhoff--Love shells using the penalty method. Penalty formulation and design of PENGoLINS are discussed in the following article:
@article{Zhao2022,
title = "An open-source framework for coupling non-matching isogeometric shells with application to aerospace structures",
journal = "Computers \& Mathematics with Applications",
volume = "111",
pages = "109--123",
year = "2022",
issn = "0898-1221",
doi = "https://doi.org/10.1016/j.camwa.2022.02.007",
author = "H. Zhao and X. Liu and A. H. Fletcher and R. Xiang and J. T. Hwang and D. Kamensky"
}
A preprint of the above article can be found here. We have since updated the penalty formulation to be more similar to that of Herrema et al., but with a numerical approximation of the tangent vectors of intersection curves. This updated formulation is more robust in nonlinear analyses of certain geometries. Differences from the benchmark results for linear problems documented in the paper are negligible.
Detailed tutorial and examples are demonstrated in PENGoLINS documentation.
-
The Python module for isogeometric Kirchhoff--Love shell ShNAPr is required.
-
Leveraging geometry kernel requires pythonOCC, whose installation instruction can be found here.
-
Geometry in benchmark problems are created using igakit.
-
Running FSI analysis requires the variational multiscale incompressible Navier--Stokes toolkit VarMINT and Python module for coupling of fluids with immersed shells CouDALFISh.
First clone the GitHub repository and install it using pip3 on the top-level directory of the repository
git clone https://github.com/hanzhao2020/PENGoLINS.git
pip3 install -e.