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ZENODO
Software . 2022
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2022
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2022
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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LESM: Linear Elements Structure Model

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 May 2022 English Publisher:Zenodo
Authors: Rangel, R. L.; Lopes, P. C.; Resende, C. H. B.; Martha, L. F.;

doi: 10.5281/zenodo.6557299 , 10.5281/zenodo.6557300

LESM: Linear Elements Structure Model

Abstract

LESM is a graphical-interactive program for structural analysis of models composed of linear elements, i.e. uniaxial elements with one dimension much larger than the others, such as bars (axial behavior only) and beams (axial, flexural, and torsion behaviors). Its purpose is to offer a free and user-friendly tool to be used both in academia and industry. It is intended to help students, teachers, engineers and architects improve the quality of their work. https://web.tecgraf.puc-rio.br/lesm/ https://gitlab.com/rafaelrangel/lesm https://www.youtube.com/channel/UCoxRpAftcAhfqREELS0kj6w

Related Organizations
Keywords

Truss models, MATLAB, Frame models, Structural analysis, Object-oriented programming, Structural vibration

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selected citations
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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.
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