Results 31 to 40 of about 2,706 (226)
A multiphase model for reinforced concrete structures considering the concrete cracking
Revista IBRACON de Estruturas e MateriaisAssessing the global behavior of reinforced materials from the individual properties of their components has been the subject of a considerable amount of experimental and theoretical works in the last years.
M. P. Figueiredo +2 more
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A mathematical model of network elastoplasticity
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2022 We introduce a mathematical model, based on networks, for the elasticity and plasticity of materials. We define the tension tensor for a periodic graph in a Euclidean space, and we show that the tension tensor expresses elasticity under deformation. Plasticity is induced by local moves on a graph. The graph is described in terms of the weights of edges,
Hiroki Kodama, Ken'ichi Yoshida
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Advanced Science, EarlyView.This work presents an origami metamaterial that integrates a low‐melting‐point alloy skeleton into an elastomeric shell. It dissipates energy through the metal's plastic deformation and recovers through the solid–liquid phase transition of the alloy together with the hyperelasticity of the shell.
Yupeng Liu +5 more
wiley +1 more source
Equilibrium and stability of beams with elastoplastic semi-rigid joints [PDF]
Archives of Civil EngineeringThe classical theory of beams admits two types of connections between structural elements: perfectly rigid and perfectly flexible. However, the engineering reality calls for a more general approach to joint modelling.
Grzegorz Dzierżanowski
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Advanced Intelligent Discovery, EarlyView.AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou +5 more
wiley +1 more source
Springback prediction of sheet metal in the deep drawing process using elastoplastic phenomenological models [PDF]
, 2005 The deep drawing is one of the widely used processes in industry to give suited forms to metal sheets. During deformation the sheet and tools undergo high stresses. The sheet must carry on the deformation until the end of the process.
BALAN, Tudor +2 more
core
A model for the evolution of laminates in finite-strain elastoplasticity [PDF]
, 2011 We study the time evolution in elastoplasticity within the rate-independent framework of generalized standard materials. Our particular interest is the formation and the evolution of microstructure. Providing models where existence proofs are possible is
Hackl, Klaus +5 more
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Eulerian elastoplasticity: Basic issues and recent results [PDF]
Theoretical and Applied Mechanics, 2009 Traditional formulations of elastoplasticity in the presence of finite strain and large rotation are Eulerian type and widely used; they are based upon, among other things, the additive decomposition of the stretching or the Eulerian strain-rate into ...
Bruhns O.T.
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Elastoplastic Deformations of Layered Structures
Milan Journal of Mathematics, 2022 We formulate a large-strain model of single-slip crystal elastoplasticity in the framework of energetic solutions. Numerical performance of the model is compared with lab experiments on the compression of a stack of note papers.
Daria Drozdenko +5 more
openaire +3 more sources