Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders. [PDF]
Abdedou A, Soulaimani A.
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Buckling Sensitivity of Tow-Steered Plates Subjected to Multiscale Defects by High-Order Finite Elements and Polynomial Chaos Expansion. [PDF]
Sanchez-Majano AR +3 more
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An Open-Source ABAQUS Plug-In for Delamination Analysis of 3D Printed Composites. [PDF]
Polyzos E, Van Hemelrijck D, Pyl L.
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Full-cycle prediction of crack healing in self-healing concrete using generalized polynomial chaos expansion. [PDF]
Fu C +6 more
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Optimizing upside variability and antifragility in renewable energy system design. [PDF]
Coppitters D, Contino F.
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Because of the high complexity of steady-state or transient fluid flow solvers, non-intrusiveuncertainty propagation techniques have been developed in aerodynamic simulations for theconsideration of random inputs such as the operational conditions or some geometrical data of theprofile. Polynomial surrogate models based on dedicated collocation sets or
Savin, Éric +2 more
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Best Practices in Developing a Workflow for Uncertainty Quantification for Modeling the Biodegradation of Mg-Based Implants. [PDF]
AlBaraghtheh T +2 more
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Sensitivity analysis and inverse uncertainty quantification for the left ventricular passive mechanics. [PDF]
Lazarus A, Dalton D, Husmeier D, Gao H.
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Non-Intrusive Polynomial Chaos for a Realistic Estimation of Accident Frequency [PDF]
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A comparison of Gaussian processes and polynomial chaos emulators in the context of haemodynamic pulse-wave propagation modelling. [PDF]
Paun LM, Colebank MJ, Husmeier D.
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