Zobrazeno 1 - 10
of 53
pro vyhledávání: '"G.F. Bomarito"'
Interpretability and uncertainty quantification in machine learning can provide justification for decisions, promote scientific discovery and lead to a better understanding of model behavior. Symbolic regression provides inherently interpretable mach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ebef850d0559db09cd6850f267641ee
Autor:
James E. Warner, Luke Morrill, William P. Leser, G.F. Bomarito, Soumyo Dutta, Samantha C. Niemoeller, Robert A. Williams, Patrick E. Leser
Publikováno v:
AIAA Scitech 2021 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb4ba1de4b36307357e331731a970653
https://doi.org/10.2514/6.2021-0761
https://doi.org/10.2514/6.2021-0761
Autor:
James E. Warner, Patrick E. Leser, G.F. Bomarito, Saikumar R. Yeratapally, William P. Leser, Jacob D. Hochhalter, T.J. Ruggles
Publikováno v:
Integrated Computational Materials Engineering (ICME) ISBN: 9783030405618
Crystal plasticity constitutive models are frequently used with finite elements for modeling metallic grain-scale phenomena. The accuracy of these models is directly a function of the calibrated parameters, which fully define a crystal plasticity mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f7673878a467e1f8c3165255ec30c1
https://doi.org/10.1007/978-3-030-40562-5_6
https://doi.org/10.1007/978-3-030-40562-5_6
Publikováno v:
Journal of Computational Physics. 451:110882
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61fdec36a37c39aa029f90ae9530de34
https://doi.org/10.1016/j.jcp.2021.110882
https://doi.org/10.1016/j.jcp.2021.110882
Akademický článek
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Publikováno v:
Computers & Structures. 252:106557
In many applications, such as those which drive new material discovery, constitutive models are sought that have three characteristics: (1) the ability to be derived in automatic fashion with (2) high accuracy and (3) an interpretable nature. Traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e05070e00bf24c0bf8b627a40a3aef1
https://doi.org/10.1016/j.compstruc.2021.106557
https://doi.org/10.1016/j.compstruc.2021.106557
Publikováno v:
Microscopy and Microanalysis. 23:1091-1095
Digital image correlation (DIC) in a scanning electron microscope and high-angular resolution electron backscatter diffraction (HREBSD) provide valuable and complementary data concerning local deformation at the microscale. However, standard surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd672045911aa259e46b617c0148680f
https://doi.org/10.1017/s1431927617012703
https://doi.org/10.1017/s1431927617012703
Publikováno v:
Experimental Mechanics. 58:1169-1180
In many applications of digital image correlation (DIC), it is advantageous to have measurements at multiple scales. Because it is rare to have natural features that can be used for DIC at multiple magnifications, an appropriately multiscale DIC patt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffd01a38ae7d1f9133aed49f805ad978
https://doi.org/10.1007/s11340-017-0348-1
https://doi.org/10.1007/s11340-017-0348-1
Autor:
G.F. Bomarito, Derek H. Warner
Publikováno v:
International Journal of Solids and Structures. 112:25-34
A mechanistic model that does not depend on free fitting parameters was developed for predicting the ductile failure of Al 5083-H116. The model takes three inputs: (1) the large deformation constitutive response of the matrix, (2) the initial second
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062ee10bec49d720e7c626c54f5aef5b
https://doi.org/10.1016/j.ijsolstr.2017.02.025
https://doi.org/10.1016/j.ijsolstr.2017.02.025
Autor:
B.J. Carter, Derek H. Warner, James E. Warner, Aida Nonn, Anthony R. Ingraffea, Jacob D. Hochhalter, G.F. Bomarito, A. R. Cerrone
Publikováno v:
International Journal of Fracture. 198:117-126
An over-the-counter methodology to predict fracture initiation and propagation in the challenge specimen of the Second Sandia Fracture Challenge is detailed herein. This pragmatic approach mimics that of an engineer subjected to real-world time const
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9cc2f46da315dce8aab82725548ef8a6
https://doi.org/10.1007/s10704-016-0086-x
https://doi.org/10.1007/s10704-016-0086-x