Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Gary F. Dargush"'
Publikováno v:
Materials & Design, Vol 247, Iss , Pp 113391- (2024)
Advancements in additive manufacturing enable the development of artificial lattice structures with unique properties not found in natural materials. Specifically, filament-based lattices are known for having a lightweight yet strong nature, exhibiti
Externí odkaz:
https://doaj.org/article/db3da645b49e4271a3620418d7900daa
Autor:
Georgios Apostolakis, Gary F. Dargush
Publikováno v:
Acta Mechanica. 234:891-910
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec63adbe40f4c8b85590b37277894a6c
https://doi.org/10.1007/s00707-022-03421-1
https://doi.org/10.1007/s00707-022-03421-1
Autor:
Robert J Damiano, Vincent M Tutino, Saeb R Lamooki, Nikhil Paliwal, Gary F Dargush, Jason M Davies, Adnan H Siddiqui, Hui Meng
Publikováno v:
PLoS ONE, Vol 14, Iss 12, p e0226421 (2019)
BackgroundComputer modeling of endovascular coiling intervention for intracranial aneurysm could enable a priori patient-specific treatment evaluation. To that end, we previously developed a finite element method (FEM) coiling technique, which incorp
Externí odkaz:
https://doaj.org/article/a0d2006260674bc0ad487ff937df040d
Publikováno v:
Engineering Analysis with Boundary Elements. 136:213-231
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ba11d6fab2cf39914bf1a966a831a4d
https://doi.org/10.1016/j.enganabound.2021.12.016
https://doi.org/10.1016/j.enganabound.2021.12.016
Publikováno v:
European Journal of Mechanics - A/Solids. 100:104972
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::859dbb1bd0a4e0b7e7f03ce3c1ec99ec
https://doi.org/10.1016/j.euromechsol.2023.104972
https://doi.org/10.1016/j.euromechsol.2023.104972
Publikováno v:
Structural and Multidisciplinary Optimization. 64:3473-3487
This paper introduces a novel deep learning approach for generating fine resolution structures that preserve all the information from the topology optimization (TO). The proposed approach utilizes neural networks (NNs) that map the desired engineerin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2db7b12e1c6cb21197ce1db44588583
https://doi.org/10.1007/s00158-021-03028-5
https://doi.org/10.1007/s00158-021-03028-5
Publikováno v:
Engineering Analysis with Boundary Elements. 126:30-44
Summary In order to investigate size-dependent creeping plane microfluidic flow, a boundary element method is implemented that involves the calculation of interior quantities and multi-domain problems. The governing equations are formulated using the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdeb3024d2a59c131735925eed776a6f
https://doi.org/10.1016/j.enganabound.2021.01.015
https://doi.org/10.1016/j.enganabound.2021.01.015
Publikováno v:
Journal of Computational and Nonlinear Dynamics. 16
The focus of this paper is on the use of polynomial chaos (PC) for developing surrogate models for differential algebraic equations (DAEs) with time-invariant uncertainties. Intrusive and nonintrusive approaches to synthesize PC surrogate models are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb2cca08ee49bc2c540385dea352c103
https://doi.org/10.1115/1.4051821
https://doi.org/10.1115/1.4051821
Autor:
Gary F. Dargush, Rahul Rai, Linda Alegria, William W. Menasco, Darshil Patel, Bielecki Dustin D
Publikováno v:
AIAA AVIATION 2021 FORUM.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df997e6f7c44f78428ed5c794e6ab1dd
https://doi.org/10.2514/6.2021-2429
https://doi.org/10.2514/6.2021-2429
We address the numerical simulation of periodic solids (phononic crystals) within the framework of couple stress elasticity. The additional terms in the elastic potential energy lead to dispersive behavior in shear waves, even in the absence of mater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19276ce92d3aeaf868653c36362ee4b7
