专题:Composite Material Mechanics

This cluster of papers focuses on the multi-scale modeling and computational homogenization of heterogeneous materials, particularly emphasizing the size-dependent behavior and elastic properties of nanostructures and composite materials. The research covers topics such as micromechanics, effective properties, and the influence of surface/interface energies on material behavior.
最新文献
Size dependent dynamics of a bi-directional functionally graded nanobeam via machine learning methods

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A family of large language models for materials research with insights into model adaptability in continued pretraining

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Recent advances in manufacturing and post-processing of fiber-reinforced thermoset and thermoplastic composites: A multi-domain perspective

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Axisymmetric couple stress based contact mechanics of flexoelectric solids

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Microscale Architected Materials for Elastic Waveguiding: Fabrication and Dynamic Characterization across Length and Time Scales

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A Multiscale Modeling Approach for the Prediction of the Mechanical Properties of C/SiC Composites Fabricated by the CVI Process

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Multi-scale correlation model and quantitative evaluation of aggregate-asphalt interface adhesion

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On the phase-field modeling of anisotropic fracture in functionally graded magneto-electro-elastic materials under hygrothermal environment

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Contact in strain gradient elasticity: The rigid flat punch problem

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A refined Gibson-Ashby model for functionally graded honeycombs with random irregularities

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近5年高被引文献
Eighty Years of the Finite Element Method: Birth, Evolution, and Future

article Full Text OpenAlex 259 FWCI39.4888

A State-of-the-Art Review on Machine Learning-Based Multiscale Modeling, Simulation, Homogenization and Design of Materials

review Full Text OpenAlex 185 FWCI12.2167

Statistical effects of pore features on mechanical properties and fracture behaviors of heterogeneous random porous materials by phase-field modeling

article Full Text OpenAlex 182 FWCI22.5249

Stochastic integrated machine learning based multiscale approach for the prediction of the thermal conductivity in carbon nanotube reinforced polymeric composites

article Full Text OpenAlex 170 FWCI11.842

Handbook of Thermoset Plastics

book Full Text OpenAlex 155 FWCI30.4529

Nanograin–glass dual-phasic, elasto-flexible, fatigue-tolerant, and heat-insulating ceramic sponges at large scales

article Full Text OpenAlex 154 FWCI14.573

Predicting stress, strain and deformation fields in materials and structures with graph neural networks

article Full Text OpenAlex 147 FWCI11.7064

Introduction to the Finite Element Method

other Full Text OpenAlex 144 FWCI0

Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)

article Full Text OpenAlex 141 FWCI16.3878

Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach

article Full Text OpenAlex 139 FWCI10.0403