Using genetic programming and the stress equilibrium method to obtain the un-stressed lattice parameter for calculating residual stresses
Created by W.Langdon from
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- @Article{MILLANGARCIA:2023:jmrt,
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author = "L. Millan-Garcia and G. Bokuchava and P. Halodova and
A. Saez-Maderuelo and G. Gonzalez-Doncel and
J. I. Hidalgo and J. M. Velasco and R. Fernandez",
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title = "Using genetic programming and the stress equilibrium
method to obtain the un-stressed lattice parameter for
calculating residual stresses",
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journal = "Journal of Materials Research and Technology",
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volume = "23",
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pages = "1543--1558",
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year = "2023",
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ISSN = "2238-7854",
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DOI = "doi:10.1016/j.jmrt.2023.01.045",
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URL = "https://www.sciencedirect.com/science/article/pii/S2238785423000455",
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keywords = "genetic algorithms, genetic programming, Residual
stress, Aluminum alloy, Rietveld analysis, Stress
equilibrium, Lattice parameter",
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abstract = "While it is known that the crucial requirement for
investigating residual stresses using diffraction is
the use of a reliable unstressed lattice parameter, the
robustness of genetic programming to accomplish this
task will be shown here. The parameter obtained from
genetic programming in the context of the stress
equilibrium method is compared with values resulting
from other approaches of this method. This gives
support and strength to the use of genetic programming
to investigate microscopic residual stresses from real,
experimental information. This is, so far, absent in
theoretical models recently proposed. Whereas residual
stress fields determination by diffraction methods at a
macroscopic scale (scale of the sample size) offers no
serious difficulties, the stress determination at the
microscopic scale (i.e., stresses varying among
neighboring grains) is still a pending task.
Understanding these microscopic stresses is, however,
of a great technological importance, as they may be the
cause of fatigue damage and/or stress corrosion
cracking in many structural components. Despite that
theoretical but solid alternatives, for example those
based on phase field models, are being used to unveil
the stresses developed at the grain scale after known
thermo-mechanical treatments, the results obtained
still need to be assessed by experimental results
linked to real microstructures. On the contrary, recent
works propose the use of genetic programming approaches
to investigate these microscopic stresses on the basis
of data recorded from real stressed samples;
specifically, from neutron diffraction and detailed
knowledge of the microstructure and its
characteristics; e.g., the texture gradient developed",
- }
Genetic Programming entries for
L Millan-Garcia
Gizo Bokuchava
Patrice Halodova
Alberto Saez-Maderuelo
Gaspar Gonzalez Doncel
Jose Ignacio Hidalgo Perez
J M Velasco
R Fernandez
Citations