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- The main script describes the non-equilibrium process during charging lithium-ion batteryThe main script describes the non-equilibrium process during charging lithium-ion battery
- Dataset
- Data for: Analytical solution for high-pressure torsion in the framework of geometrically nonlinear non-associative plasticityMatlab code for numerical algorithm and graphics.
- Dataset
- Data for: A bar and hinge model formulation for structural analysis of curved-crease origamiThe computer codes in this supplementary information can be used to perform structural analysis of curved crease origami. For more information, please see the READ ME.txt file and the publication: S. R. Woodruff, E. T. Filipov (2020). A bar and hinge formulation for structural analysis of curved-crease origami.
- Dataset
- Data for: Thermo-micro-mechanical simulation of bulk metal forming processes#TMM-FE-Simulation This repository is created for sharing Abaqus material subroutines and finite element (FE) models for thermo-micro-mechanical (TMM) FE simulation of metal forming processes.
- Dataset
- Data for: Pseudo-projection approach to reconstruct locations of point-like scatterers by Lame parameters and mass densities in an elastic half-spaceThese are source code as well as the data to obtain the results presented in the article.
- Dataset
- Data presented in the paper: "Strain-rate based arclength model for nonlinear microscale analysis of unidirectional composites under off-axis loading"Tex files containing data used for plots in the paper.
- Dataset
- Data presented in the paper: "Strain-rate based arclength model for nonlinear microscale analysis of unidirectional composites under off-axis loading"Tex files containing data used for plots in the paper.
- Dataset
- Data describing an adhesive contact between a rigid spherical indenter and an elastic multi-layer coated substrate
- Dataset
- Micromechanical modelling of self-healing cementitious materialsThe Materials for Life (M4L) project team have developed multi‐scale self-healing systems for cementitious materials using a range of interdisciplinary technologies. The three-year EPSRC funded project, which began in July 2013, was a collaboration between Cardiff University, University of Cambridge and University of Bath. The project investigated individual healing techniques, combined these techniques in the laboratory and now used these techniques in the field at the full-scale. The research has included experimental and numerical modeling work. This dataset comprises the raw data generated whist modeling self-healing cementitious materials, in particular related to the micro-mechanical modeling approach. Raw material properties and composition of modeled concrete are given alongside key model parameters, such as, Young's modulus, volume fraction, Poisson's ratio, uniaxial strain, tensile strength, healing efficiency healing strength and model directional micro-cracking parameters. The raw data used to describe the response of the micromechanical model are given in the dataset. These include, the model response with standard material properties for both unconfined stress, confined stress in the y-y and z-z direction and the micro-cracking parameters. The raw data for the parametric study of model performance is given alongside the experimental data and model generated data for three examples of healing in concrete.
- Dataset
- Research data supporting "A methodology for obtaining plasticity characteristics of metallic coatings via instrumented indentation"This is supporting data to "A Methodology for Obtaining Plasticity Characteristics of Metallic Coatings via Instrumented Indentation", which will be published in the International Journal of Solids and Structures.
- Dataset