Works matching IS 01787675 AND DT 2023 AND VI 71 AND IP 3
Results: 11
A three-dimensional prediction method of stiffness properties of composites based on deep learning.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 583, doi. 10.1007/s00466-022-02253-z
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A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 543, doi. 10.1007/s00466-022-02252-0
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Physics-informed machine learning for surrogate modeling of wind pressure and optimization of pressure sensor placement.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 481, doi. 10.1007/s00466-022-02251-1
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A surrogate model for the prediction of permeabilities and flow through porous media: a machine learning approach based on stochastic Brownian motion.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 563, doi. 10.1007/s00466-022-02250-2
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h-Adaptive radial basis function finite difference method for linear elasticity problems.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 433, doi. 10.1007/s00466-022-02249-9
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Data-driven synchronization-avoiding algorithms in the explicit distributed structural analysis of soft tissue.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 453, doi. 10.1007/s00466-022-02248-w
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A monolithic optimal control method for displacement tracking of Cosserat rod with application to reconstruction of C. elegans locomotion.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 409, doi. 10.1007/s00466-022-02247-x
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Accounting for viscoelastic effects in a multiscale fatigue model for the degradation of the dynamic stiffness of short-fiber reinforced thermoplastics.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 493, doi. 10.1007/s00466-022-02246-y
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Memory repositioning in soil plasticity models used in contact problems.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 385, doi. 10.1007/s00466-022-02245-z
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Discrepancies between Gaussian surface heat source model and ray tracing heat source model for numerical simulation of selective laser melting.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 599, doi. 10.1007/s00466-022-02235-1
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A data-driven multi-flaw detection strategy based on deep learning and boundary element method.
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- Computational Mechanics, 2023, v. 71, n. 3, p. 517, doi. 10.1007/s00466-022-02231-5
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- Article