Published: Jan. 1, 2024
Language: Английский
Journal of the Mechanics and Physics of Solids, Journal Year: 2025, Volume and Issue: unknown, P. 106122 - 106122
Published: March 1, 2025
Language: Английский
Citations
0
Giant, Journal Year: 2024, Volume and Issue: 18, P. 100282 - 100282
Published: May 9, 2024
In load carrying structures and devices, there is a growing need for shape memory polymer (SMP) metamaterials that are lightweight have superior strength, remarkable flexibility, substantial specific recovery force (SFR). One of the challenges to find optimum with high SFR. To address this challenge, we propose novel inverse design framework plate-lattice (PLSs) user-defined maximum compression strength. Consisting three sub-frameworks, performance was validated before it utilized optimize PLSs. The PLSs developed fabricated 3D printing using SMP. addition, printed solid cylinder Cubic+Octet (control) compare their structural capacity predicted structures. optimized display 30 ∼ 170% greater SFR compared control PLS cylinder. These findings suggest promising strategy enhancing effectiveness actuators based on SMP mechanical metamaterials. has potential be generating properties.
Language: Английский
Citations
2
Extreme Mechanics Letters, Journal Year: 2024, Volume and Issue: 71, P. 102220 - 102220
Published: Aug. 10, 2024
Language: Английский
Citations
2
International Journal for Numerical Methods in Engineering, Journal Year: 2024, Volume and Issue: 125(24)
Published: Aug. 11, 2024
Abstract Modern inelastic material model formulations rely on the use of tensor‐valued internal variables. When phenomena include softening, simulations former are prone to localization. Thus, an accurate regularization variables is essential obtain physically correct results. Here, we focus anisotropic damage at finite strains. a flexible with isotropic, kinematic, and distortional hardening equipped three gradient‐extensions using full two reduced regularizations tensor. Theoretical numerical comparisons yield excellent agreement between based volumetric‐deviatoric only nonlocal degrees freedom.
Language: Английский
Citations
2
PAMM, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 18, 2024
Abstract The characterization of the material behavior inelastic materials requires a high degree expert knowledge to identify and constitutively describe response. In addition, specific models are usually pre‐selected in course only best parameters for these determined, but therefore not necessarily models. Unfortunately, more general description results an increased effort during characterization, which is barely practicable by hand. This where machine learning algorithms may help us. To get both worlds, powerful sound thermodynamic considerations, Constitutive Artificial Neural Networks (iCANNs) discover generic formulations Helmholtz free energy pseudo potential. relations guide us towards thermodynamically consistent descriptions stresses strains; concept that applicable wide range phenomena from viscoelasticity, elastoplasticity, phase transformations growth remodeling living tissues. Here, we equip original iCANN framework guarantee polyconvexity priori, ensures at least one minimizing deformation. We investigate ability our viscoelastic polymer different stretch levels strain rates. made source code, data, example accessible public https://doi.org/10.5281/zenodo.11084354 .
Language: Английский
Citations
2
Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102685 - 102685
Published: Aug. 8, 2024
Virtual testing of helmets using finite element (FE) analysis can be a valuable tool during product development. Still, its usefulness is limited by the quality constitutive model energy-absorbing material, usually foam. Built-in models in commercial FE software are developed for traditional linear compression loading. However, modern oblique test methods load foam combined and shear. Therefore, we aim to evaluate what extent built-in represent Expanded Polystyrene (EPS) shear loading (CCSL). EPS tested experimentally newly rig CCSL (V-test). The response compared against simulation three different available LS-DYNA (M83, M126, M181). assessed their ability capture correct response, focusing on how well continuum phenomenological events seen experiments. results show that perform compression, as expected. point out limitations significant unloading both important helmet testing. Due these limitations, conclude existing inadequate accurately simulating impacts. There clear need develop implement new focused capturing including unloading. Additionally, frictional sliding was found substantially influence measured V-test method. Minimizing interface therefore critical isolating material behavior.
Language: Английский
Citations
1
Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 436, P. 117700 - 117700
Published: Dec. 28, 2024
Language: Английский
Citations
1
Published: Jan. 1, 2024
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Language: Английский
Citations
0
Published: Jan. 1, 2024
Language: Английский
Citations
0
PAMM, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 20, 2024
Abstract The modeling of inelastic phenomena with tensor‐valued internal variables requires a regularization to counteract mesh dependence. Here, we consider the anisotropic damage at finite strains and seek for an efficient formulation based on reduced number nonlocal degrees freedom. We, thus, equip brittle version model different gradient‐extensions in micromorphic framework using full tensor. models are compared structural simulation asymmetrically notched specimen perforated shear band section. High agreement is observed between two Furthermore, present novel study evolution field variables.
Language: Английский
Citations
0