Efficient constitutive parameter identification through optimisation-based techniques: a comparative analysis and novel composite Bayesian optimisation strategy
DOI10.1016/j.cma.2024.117039MaRDI QIDQ6557802
A. Francisca Carvalho Alves, Francisco M. Andrade Pires, Rui P. Cardoso Coelho
Publication date: 18 June 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Nonparametric regression and quantile regression (62G08) Derivative-free methods and methods using generalized derivatives (90C56) Numerical optimization and variational techniques (65K10) Finite element methods applied to problems in solid mechanics (74S05) Finite element, Rayleigh-Ritz and Galerkin methods for boundary value problems involving PDEs (65N30) Crystals in solids (74N05) Plastic materials, materials of stress-rate and internal-variable type (74Cxx) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Methods for multi-objective optimization: an analysis
- Large-scale 3D random polycrystals for the finite element method: generation, meshing and remeshing
- Crystallographically based model for transformation-induced plasticity in multiphase carbon steels
- Lipschitzian optimization without the Lipschitz constant
- Thermal effects in the superelasticity of crystalline shape-memory materials
- An automated system for simulation and parameter identification of inelastic constitutive models
- Accelerated random search for constrained global optimization assisted by radial basis function surrogates
- Parameter estimation techniques for transport equations with application to population dispersal and tissue bulk flow models
- A study on formulation of objective functions for determining material models
- Identification of crystal plasticity model parameters by multi-objective optimization integrating microstructural evolution and mechanical data
- Clustering discretization methods for generation of material performance databases in machine learning and design optimization
- A multiscale thermomechanical model for cubic to tetragonal martensitic phase transformations
- Experimental testing of advanced scatter search designs for global optimization of multimodal functions
- On the determination of material parameters for internal variable thermoelastic-viscoplastic constitutive models
- Multi-fidelity cost-aware Bayesian optimization
- The Knowledge-Gradient Policy for Correlated Normal Beliefs
- A Knowledge-Gradient Policy for Sequential Information Collection
- Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
- Back analysis of model parameters in geotechnical engineering by means of soft computing
- 10.1162/153244303321897663
- Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
- A Sequential Method Seeking the Global Maximum of a Function
- Computational modeling and data‐driven homogenization of knitted membranes
- On-the-fly construction of surrogate constitutive models for concurrent multiscale mechanical analysis through probabilistic machine learning
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