Bayesian calibration of coupled computational mechanics models under uncertainty based on interface deformation
Authors (first, second and last of 4)
Volume 9, issue 1, December 2022
24 articles in this issue
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Multivariate moment-matching for model order reduction of quadratic-bilinear systems using error bounds
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The Pseudo-Direct Numerical Simulation Method considered as a Reduced Order Model
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Empowering engineering with data, machine learning and artificial intelligence: a short introductive review
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A deformation-dependent coupled Lagrangian/semi-Lagrangian meshfree hydromechanical formulation for landslide modeling
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Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling
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A partitioned material point method and discrete element method coupling scheme
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A Lagrangian–Eulerian procedure for the coupled solution of the Navier–Stokes and shallow water equations for landslide-generated waves
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Numerical modeling of the propagation process of landslide surge using physics-informed deep learning
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A physics-based neural network for flight dynamics modelling and simulation
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An energy-based study of the embedded element method for explicit dynamics
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A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications
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Physics-Informed Neural Network water surface predictability for 1D steady-state open channel cases with different flow types and complex bed profile shapes
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One-way coupled fluid–beam interaction: capturing the effect of embedded slender bodies on global fluid flow and vice versa
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Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN)
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A comparison of mixed-variables Bayesian optimization approaches
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Physics-informed neural networks approach for 1D and 2D Gray-Scott systems
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Spline-based specimen shape optimization for robust material model calibration
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An updated Gappy-POD to capture non-parameterized geometrical variation in fluid dynamics problems
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Domain decomposition involving subdomain separable space representations for solving parametric problems in complex geometries
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Metamodeling techniques for CPU-intensive simulation-based design optimization: a survey
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