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Structure · dataset · 2026

Data for: Loading-mode-dependent reversal of fatigue ranking in metallic lattices: A topology-microstructure mechanics framework based on crystal plasticity

Listed in ScienceDB

Data generation:This dataset contains the source data for the study "Loading-mode-dependent reversal of fatigue ranking in metallic lattices: A topology-microstructure mechanics framework based on crystal plasticity".

Description

The data were generated through crystal plasticity finite element method (CPFEM) simulations and post-processing scripts.Data processing and tools:Simulations were conducted using Abaqus with a custom UMAT subroutine.

Post-processing was performed using Python scripts.Contents and formats:The dataset includes: (1) Raw simulation results (stress-strain curves, fatigue hysteresis loops, damage evolution data) under different loading modes in *.opju format; (2) The underlying data for all figures in the manuscript in origin format.Missing data and errors:No missing data.

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Data description

A detailed "README.txt" file is included in the dataset to explain the file names, column headers, units of measurement, and their correspondence to the figures in the manuscript.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Materials engineering 71% · Simulation 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00145.000304 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[method].local:method:simulationenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
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