Pages that link to "Item:Q2475189"
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The following pages link to Nonlinear constitutive models from nanoindentation tests using artificial neural networks (Q2475189):
Displaying 13 items.
- Review on numerical modeling of instrumented indentation tests for elastoplastic material behavior identification (Q338753) (← links)
- Determination of constitutive response of plastically graded materials (Q414354) (← links)
- Simulation of micro-indentation hardness of FCC single crystals by mechanism-based strain gradient crystal plasticity (Q422692) (← links)
- Gripless nanotension test for determination of nano-scale properties (Q422751) (← links)
- Investigation of the relationship between primary and secondary shear bands induced by indentation in bulk metallic glasses (Q655224) (← links)
- A new tool based on artificial neural networks for the design of lightweight ceramic-metal armour against high-velocity impact of solids (Q838549) (← links)
- Neural networks for tip correction of spherical indentation curves from bulk metals and thin metal films (Q1019406) (← links)
- Evaluation of an inverse methodology for estimating constitutive parameters in face-centered cubic materials from single crystal indentations (Q1658838) (← links)
- Determination of constitutive properties from spherical indentation data using neural networks. I: The case of pure kinematic hardening in plasticity laws. II: Plasticity with nonlinear isotropic and kinematic hardening (Q1970633) (← links)
- Taguchi-based design of experiments in training POD-RBF surrogate model for inverse material modelling using nanoindentation (Q2974015) (← links)
- Identification of Material Models of Nanocoatings System Using the Metamodeling Approach (Q3557820) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707481) (← links)
- Hybrid approach to predict the effective properties of heterogeneous materials using artificial neural networks and micromechanical models (Q6089273) (← links)