Results 31 to 40 of about 198 (163)
Interpolated Adaptive Linear Reduced Order Modeling for Deformation Dynamics
Computer Graphics Forum, EarlyView.Abstract Linear reduced‐order modeling (ROM) is widely used for efficient simulation of deformation dynamics, but its accuracy is often limited by the fixed linearization of the reduced mapping. We propose a new adaptive strategy for linear ROM that allows the reduced mapping to vary dynamically in response to the evolving deformation state ...
Y. Tao, M. Chiaramonte, P. Fernandez
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MathematicsIn this paper, a multi-patch weakly singular isogeometric boundary element method (WSIGABEM) for two-dimensional elastostatics is proposed. Since the method is based on the weakly singular boundary integral equation, quadrature techniques, dedicated to ...
Zhenyu Chen, Longtao Xie
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On Anomalous Localized Resonance for the Elastostatic System [PDF]
SIAM Journal on Mathematical Analysis, 2016 We consider the anomalous localized resonance due to a plasmonic structure for the elastostatic system in R^2. The plasmonic structure takes a general core-shell-matrix form with the metamaterial located in the shell. If there is no core, we show that resonance occurs for a very broad class of sources. If the core is nonempty and of an arbitrary shape,
Hongjie Li, Hongyu Liu 0001
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International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.ABSTRACT Numerous mesh‐distortion‐insensitive Petrov‐Galerkin finite element formulations have been developed for the simulation of elastostatic problems. This contribution presents initial results on how these formulations can be extended to linear elastodynamics. In this context, three different approaches are examined, building upon an established 8‐
Felix Zähringer, Peter Betsch
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Mathematics, 2020 In this paper, the volume integral equation method (VIEM) is introduced for the analysis of an unbounded isotropic solid composed of multiple isotropic/anisotropic inhomogeneities.
Jungki Lee, Mingu Han
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The Linearized Inverse Boundary Value Problem in Strain Gradient Elasticity
Mathematical Methods in the Applied Sciences, Volume 49, Issue 9, Page 9929-9947, June 2026.ABSTRACT In this paper we study the linearized version of the strain gradient elasticity equation in ℝ2$$ {\mathbb{R}}^2 $$ with constant coefficients and we prove that one can determine the two Lamé coefficients λ,μ$$ \lambda, \mu $$ as well as the internal strain gradient parameter g$$ g $$, as indicated by Mindlin in his revolutionary papers in 1963–
Antonios Katsampakos +1 more
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Robust Inverse Material Design With Physical Guarantees Using the Voigt‐Reuss Net
International Journal for Numerical Methods in Engineering, Volume 127, Issue 7, 15 April 2026.ABSTRACT We apply the Voigt‐Reuss net, a spectrally normalized neural surrogate introduced in [38], for forward and inverse mechanical homogenization with a key guarantee that all predicted effective stiffness tensors satisfy Voigt‐Reuss bounds in the Löwner sense during training, inference, and gradient‐driven optimization.
Sanath Keshav, Felix Fritzen
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Thermally Activated Static Friction Can Explain Earthquake Interactions
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.Abstract Unlike meteorological hazards, tectonic earthquakes remain hardly predictable, reinforcing their deadly character. This relates to an out‐of‐equilibrium, intermittent dynamic associated with a strong time asymmetry, with few and non‐systematic foreshocks sometimes preceding large earthquakes, while aftershocks are ubiquitous and have been ...
J. Weiss, D. Marsan, P. Thiraux
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Liniowa Teoria Mikropolarnej Sprężystości
Engineering Transactions, 1974 The paper consists of two parts, the first part dealing with helastokinetics, the second one – with elastostatics. In both parts an important role is played by elastic potentials and stress functions of the Galerkin type.
W. Nowacki
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Design and Implementation of a Motivational and Didactically Sound Learning Environment
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 1, March 2026.ABSTRACT For roughly the last three decades, neuroscience has provided us with very detailed information and facts about what learning actually is and how it can be made easier for everyone. Nevertheless, the majority of teachers in schools and lecturers at universities continue to insist on traditional methods.
Thorsten Bartel
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