Results 41 to 50 of about 16,551 (232)
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
Fractal Loading Model of the Joint Interface Considering Strain Hardening of Materials
Advances in Materials Science and Engineering, 2019 Based on fractal geometry theory, the deformation state of the four stages of the asperity elastic, first elastoplastic, second elastoplastic, and fully plastic deformation and comprehensively considering the hardness of the asperity changes with the ...
Yanhui Wang +3 more
doaj +1 more source
Interplay of Rearrangements, Strain, and Local Structure during Avalanche Propagation
Physical Review X, 2021 Jammed soft disks exhibit avalanches of particle rearrangements under quasistatic shear. We introduce a framework for understanding the statistics of the progression of avalanches.
Ge Zhang, Sean A. Ridout, Andrea J. Liu
doaj +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
Implicit learning of elastoplastic behaviors
International audienceImplicit learning of elastoplastic ...
Bleyer, Jérémy
core +5 more sources
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
Carbon Energy, EarlyView.A durable solid electrolyte interphase (SEI) is essential for mitigating the mechanical fracture and interfacial instability of silicon anodes under strong electrochemical‐mechanical coupling. Herein, a uniform Li2O layer was accurately deposited on the Si/C composites to regulate the growth characteristics of SEI.
Ming Li +17 more
wiley +1 more source
Review and prospects of shear test of bolted rock joints
Deep Underground Science and Engineering, EarlyView.The laboratory shear test equipment, test method, and numerical simulation of bolted rock joints were summarized. The shortcomings and limitations of the current research were analyzed, and the research prospects were proposed. Abstract Rock bolting is a critical approach in geotechnical engineering for supporting weak rocks.
Shulin Ren +4 more
wiley +1 more source
Small strain oscillations of an elastoplastic Kirchhoff plate [PDF]
, 2007 The two dimensional equation for transversal vibrations of an elastoplastic plate is derived from a general three dimensional system with a single yield tensorial von Mises plasticity model in the five dimensional deviatoric space.
R.B. Guenther +5 more
core +1 more source
Deep Underground Science and Engineering, EarlyView.A novel shear‐lag model, validated by pull‐out tests, incorporates a constant bond stress stage to predict the complete load–displacement response of grouted rock bolts, providing a new tool for optimizing anchorage length and material toughness in deep underground engineering. Abstract The stability of rock masses in deep underground excavations, such
Wenhui Bian +6 more
wiley +1 more source