Results 61 to 70 of about 2,206,964 (375)
Multi-Frontal Solver For Simulations Of Linear Elasticity Coupled With Acoustics
Computer Science, 2011 This paper describes the concurrent multi-frontal direct solver algorithm for a multi-physicsFinite Element Method (FEM). The multi-physics FEM utilizes different element sizes aswell as polynomial orders of approximation over element edges, faces, and ...
Maciej Paszyński +2 more
doaj +1 more source
Numerical approximations of CNLS equations via UAH tension B-spline DQM
Nonlinear Engineering, 2023 Via UAH tension B-spline DQM in the present research, numerical approximation of coupled Schrödinger equations in one and two dimensions is fetched. In the present research, a novel regime is generated as a fusion of a UAH tension B-spline of fourth ...
Kapoor Mamta, Joshi Varun
doaj +1 more source
Calipso: Physics-based Image and Video Editing through CAD Model Proxies [PDF]
, 2017 We present Calipso, an interactive method for editing images and videos in a physically-coherent manner. Our main idea is to realize physics-based manipulations by running a full physics simulation on proxy geometries given by non-rigidly aligned CAD ...
Cotin, Stephane +4 more
core +4 more sources
Expansion of a class of functions into an integral involving associated Legendre functions
International Journal of Mathematics and Mathematical Sciences, 1994 A theorem for expansion of a class of functions into an integral involving associated Legendre functions is obtained in this paper.
Nanigopal Mandal, B. N. Mandal
doaj +1 more source
A midsurface elasticity model for a thin, nonlinear, gradient elastic plate [PDF]
arXiv, 2023 In this paper, we derive a dynamic surface elasticity model for the two-dimensional midsurface of a thin, three-dimensional, homogeneous, isotropic, nonlinear gradient elastic plate of thickness $h$. The resulting model is parameterized by five, conceivably measurable, physical properties of the plate, and the stored surface energy reduces to Koiter's ...
arxiv
Learning hidden elasticity with deep neural networks [PDF]
, 2020 We introduce a de novo elastography method to learn the elasticity of solids from measured strains. The deep neural network in our new method is supervised by the theory of elasticity and does not require labeled data for training. Results show that the proposed method can learn the hidden elasticity of solids accurately and is robust when it comes to ...
arxiv +1 more source
Kardar-Parisi-Zhang model and anomalous elasticity of two- and three-dimensional smectic-A liquid crystals [PDF]
, 1994 We reveal a deep theoretical relationship between equilibrium statistical physics of smectic-A liquid crystals and nonequilibrium statistical physics of the Kardar-Parisi-Zhang dynamical model [M. Kardar, G. Parisi, and Y.-C. Zhang, Phys. Rev. Lett.
Golubović, Leonardo, Wang, Zhen-Gang
core +2 more sources
Geofluids, 2023 Over the past few years, significant exploration breakthroughs have been made in the sandy conglomerates reservoir of the Triassic Baikouquan Formation in the Mahu Sag, Junggar Basin, China.
Bin Wang +5 more
doaj +1 more source
Nonlinear elasticity of monolayer graphene [PDF]
Phys. Rev. Lett. 102, 235502 (2009), 2010 By combining continuum elasticity theory and tight-binding atomistic simulations, we work out the constitutive nonlinear stress-strain relation for graphene stretching elasticity and we calculate all the corresponding nonlinear elastic moduli. Present results represent a robust picture on elastic behavior of one-atom thick carbon sheets and provide the
arxiv +1 more source
Jurnal Penelitian Pendidikan IPA, 2023 The purpose of this study was to describe the quality of physics learning tools using the Problem-Based Learning model with the Contextual Teaching and Learning approach on the material of elasticity and Hooke's law.
T. J. Buhungo +5 more
semanticscholar +1 more source