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ZENODO
Software . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2025
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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YetAnotherFEcode

Authors: Jain, Shobhit; Marconi, Jacopo; Pozzi, Matteo; Tiso, Paolo;

YetAnotherFEcode

Abstract

A simple MATLAB-based code for implementing the Finite Element method in an object oriented fashion. The main idea behind this package is to enable rapid prototyping and reproducible research related to finite element applications and/or reduced-order modeling in a user-friendly MATLAB environment. On the one hand, commercial packages lack the flexibility needed for testing new ideas essential for research, especially in the context of reduced-order modeling, where FE problems are indeed just applications but still require mild intrusion/access to the functionality. Open source packages, on the other hand, allow endless access to the implementation but tend to be very cumbersome to hack, and require significant time and training to be able to test even the simplest of ideas. This code is particularly aimed towards users/researchers who are interested in intrusive finite-element modeling without getting lost in gory details of open source FE packages. A distinguishing aspect of this package is that apart from using exisiting elements in our library, one can program new elements with relative ease and flexibility. These elements may also arise from multi-physics problems, e.g., thermo-mechanical problems which involve the numerical solution of different partial differential equations governing heat and momentum balance on the same physical domain. Without worrying about the cumbersome details of finite-element assembly, a researcher can simply focus on the element-level implementation to quickly obtain results. At the same time, developers are also encouraged to contribute new and alternative ideas to improve this environment and potentially publish them, allowing future users to access and build upon their work. This allows for rapid developement and testing of ideas, especially valuable in research efforts. To use the code, simply add the main folder and its contents to the MATLAB path. Feel free to play with examples in the examples directory. What is new in this release: added Topology Optimization routines (density-based approach with MMA solver) added code associated to the following publications:a. Pozzi, M., Marconi, J., Jain, S. & Braghin, F. Backbone curve tailoring via Lyapunov subcenter manifold optimization. Nonlinear Dynamics (2024), https://doi.org/10.1007/s11071-024-09881-5.b. M. Pozzi, J. Marconi, S. Jain, M. Li, and F. Braghin. "Topology optimization of nonlinear structural dynamics with invariant manifold-based reduced order models". Structural and Multidisciplinary Optimization (2025), https://doi.org/10.1007/s00158-025-04010-1. added Mesh tools and Electrostatic elements (2D) bugfix and general improvements To showcase the relevance, please cite the following reference if you use this package in your work Shobhit Jain, Jacopo Marconi, Matteo Pozzi, Paolo Tiso (2025) YetAnotherFEcode. Zenodo. http://doi.org/10.5281/zenodo.4011281 Please report any issues/bugs to Shobhit Jain shobhit.jain@tudelft.nl or Jacopo Marconi jacopo.marconi@polimi.it

Keywords

Topology Optimization, Finite elements, Nonlinear model reduction, Structural Dynamics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
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