Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Seid Koric"'
Autor:
Asha Viswanath, Diab W. Abueidda, Mohamad Modrek, Rashid K. Abu Al-Rub, Seid Koric, Kamran A. Khan
Publikováno v:
Frontiers in Mechanical Engineering, Vol 10 (2024)
Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses during optimization. In this study, one such 3D C
Externí odkaz:
https://doaj.org/article/0961fc53c58e472baded1ea04e8b9d11
Autor:
E. A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-12 (2020)
Abstract Significant investments to upgrade and construct large-scale scientific facilities demand commensurate investments in R&D to design algorithms and computing approaches to enable scientific and engineering breakthroughs in the big data era. I
Externí odkaz:
https://doaj.org/article/ce14df14f3674f3ab7624800d2b38b67
Publikováno v:
Materials & Design, Vol 196, Iss , Pp 109098- (2020)
Data-driven models are rising as an auspicious method for the geometrical design of materials and structural systems. Nevertheless, existing data-driven models customarily address the optimization of structural designs rather than metamaterial design
Externí odkaz:
https://doaj.org/article/dc6d7cda7db148f298f45a39bd8da6d5
Autor:
Seid Koric, Diab W. Abueidda
Publikováno v:
Metals, Vol 11, Iss 3, p 494 (2021)
The solidifying steel follows highly nonlinear thermo-mechanical behavior depending on the loading history, temperature, and metallurgical phase fraction calculations (liquid, ferrite, and austenite). Numerical modeling with a computationally challen
Externí odkaz:
https://doaj.org/article/c574991f1445434ca766fea651c296dc
Autor:
Aleksander Zubelewicz, Darla G. Thompson, Martin Ostoja-Starzewski, Axinte Ionita, Devin Shunk, Matthew W. Lewis, Joe C. Lawson, Sohan Kale, Seid Koric
Publikováno v:
AIP Advances, Vol 3, Iss 1, Pp 012119-012119 (2013)
A mechanisms-based fracture model applicable to a broad class of cemented aggregates and, among them, plastic-bonded explosive (PBX) composites, is presented. The model is calibrated for PBX 9502 using the available experimental data under uniaxial c
Externí odkaz:
https://doaj.org/article/cdeef26c85be4c94b39f099a6b992be8
Publikováno v:
Acta Mechanica. 234:1365-1379
This paper explores the possibilities of applying physics-informed neural networks (PINNs) in topology optimization (TO) by introducing a fully self-supervised TO framework that is based on PINNs. This framework solves the forward elasticity problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89e43a12674700d03e6fd17be1ad9a33
https://doi.org/10.1007/s00707-022-03449-3
https://doi.org/10.1007/s00707-022-03449-3
Publikováno v:
Engineering with Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a8ae9b5fc63b68dffa79f5465affe03
https://doi.org/10.1007/s00366-023-01822-x
https://doi.org/10.1007/s00366-023-01822-x
The deep energy method (DEM), a type of physics-informed neural network, is evolving as an alternative to finite element analysis. This method employs the principle of minimum potential energy to predict deformations under static loading conditions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75009eacbdca29940d9c119bde4726a8
https://doi.org/10.20944/preprints202206.0414.v2
https://doi.org/10.20944/preprints202206.0414.v2
Publikováno v:
International Journal for Numerical Methods in Engineering. 124
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eee720e75a3b66ac6393c3c84d00873a
https://doi.org/10.1002/nme.7201
https://doi.org/10.1002/nme.7201
Publikováno v:
International Journal for Numerical Methods in Engineering. 122:7182-7201
Deep learning and the collocation method are merged and used to solve partial differential equations describing structures' deformation. We have considered different types of materials: linear elasticity, hyperelasticity (neo-Hookean) with large defo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a96eead80093328aed3e7c15440a86bb
https://doi.org/10.1002/nme.6828
https://doi.org/10.1002/nme.6828