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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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An enhanced single Gaussian point continuum finite element formulation using automatic differentiation: Source code and data

Authors: Pacolli, Njomza; Ahmad, Awad; Kehls, Jannick; Sauren, Bjorn; Klinkel, Sven; Reese, Stefanie; Holthusen, Hagen;

An enhanced single Gaussian point continuum finite element formulation using automatic differentiation: Source code and data

Abstract

This dataset contains the source code and the data with an example of uniaxial strain of an enhanced single Gaussian point continuum finite elemnet formulation using automatic differentiation. This contribution presents a low-order 3D finite element formulation with hourglass stabilization using automatic differentiation. Here, the former Q1STc element formulation is enhanced by an approximation-free computation of the inverse of the Jacobian. The improved version is termed "Q1STc+." The corresponding publication is: Pacolli, N., Awad, A., Kehls, J., Sauren, B., Klinkel, S., Reese, S., Holthusen, H.An enhanced single Gaussian point continuum finite elemnet formulation using automatic differentiation. Standalone_Elementroutine: Q1STc+_Codes contains: main.f90: Standalone routine for local uniaxial strain test Makefile: Makefile to create executable "Q1STc+" elem40.f90: Element routine "Q1STc+" with elem_sub.f90 as the subroutine written in AceGen mat52.f90: Elasto-plastic material routine with all subroutines written in AceGen elem_mat_select.f90: The selected material routine (Here: mat52) elem_subs.f90: Subroutines for elem40.f90 mat_subs.f90: Subroutines for mat52.f90

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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!
0
Average
Average
Average