Pages that link to "Item:Q4359838"
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The following pages link to Inelastic constitutive parameter identification using an evolutionary algorithm with continuous individuals (Q4359838):
Displaying 23 items.
- Characteristics of testing conditions for constitutive models in metal plasticity (Q521181) (← links)
- Parameter identification and shape optimization. An integrated methodology in metal forming and structural applications (Q535717) (← links)
- Accurate cyclic plastic analysis using a neural network material model (Q597632) (← links)
- A new parameter identification method of soft biological tissue combining genetic algorithm with analytical optimization (Q643951) (← links)
- Online planning of multiaxial loading path for elastic material identification (Q839270) (← links)
- A cascade optimization methodology for automatic parameter identification and shape/process optimization in metal forming simulation (Q996650) (← links)
- An automated system for simulation and parameter identification of inelastic constitutive models (Q1600772) (← links)
- A new multi-solution approach suitable for structural identification problems (Q1600787) (← links)
- A novel evolutionary algorithm for determining unified creep damage constitutive equations. (Q1867067) (← links)
- A surface-to-surface contact search method enhanced by deep learning (Q2308818) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- On the determination of material parameters for internal variable thermoelastic-viscoplastic constitutive models (Q2641983) (← links)
- Machine learning-assisted parameter identification for constitutive models based on concatenated loading path sequences (Q2691025) (← links)
- Modular machine learning-based elastoplasticity: generalization in the context of limited data (Q2693407) (← links)
- Parameter identification with weightless regularization (Q2761940) (← links)
- Optimization of the Phenomenological Constitutive Models Parameters Using Genetic Algorithms (Q2787041) (← links)
- Pareto‐based continuous evolutionary algorithms for multiobjective optimization (Q3149576) (← links)
- Identification of Material Parameters for Inelastic Constitutive Models Using Stochastic Methods (Q3602275) (← links)
- Extracting inelastic metal behaviour through inverse analysis: a shift in focus from material models to material behaviour (Q3612707) (← links)
- Parameter estimation for a viscoplastic damage model using a gradient‐based optimization algorithm (Q4700847) (← links)
- Coupling recognition of the structure and parameters of non-linear constitutive material models using hybrid evolutionary algorithms (Q4736699) (← links)
- Novel anisotropic continuum‐discrete damage model capable of representing localized failure of massive structures (Q4908074) (← links)
- An Eulerian constitutive model for rate-dependent inelasticity enhanced by neural networks (Q6595904) (← links)