Algebraic or geometric multigrid methods are commonly used in numerical solvers as they a multi-resolution method able to handle problems with multiple scales. In this work, we propose modification the commonly-used U-Net neural network architecture that is inspired by principles of methods, referred here U-Net-MG. We then demonstrate proposed U-Net-MG can successfully reduce test prediction er...

Reflectarrays (RAs) exhibit important advantages over conventional antenna arrays, especially in terms of realizing pencil-beam patterns without the employment feeding networks. Unfortunately, microstrip RA implementations feature narrow bandwidths, and are severely affected by losses. A considerably improved performance can be achieved for RAs involving grounded dielectric layers, which also e...

Two time-efficient surrogate models are proposed to emulate the nonlinear heat equation in context of laser powder bed fusion, performance which is compared accuracy and online execution time. Fast-computed numerical solvers critical implementing digital twin framework additive manufacturing process addressing one its main open problems: lack quality assurance. The first model reduced Gaussian ...

The paper is focused on probabilistic assessment and sensitivity analysis of existing prestressed concrete bridge using surrogate model in form Polynomial Chaos Expansion (PCE). was selected the framework European Project INTERREG AUSTRIA-CZECH REPUBLIC "TCZ190 SAFEBRIDGE" advanced numerical bridges represented by non-linear finite element model. In this study, PCE created, which represents ver...

Musculoskeletal modeling can predict muscle forces and the resulting motion and loading during human ambulatory activities. A better understanding of the loading environment on hard and soft tissues can enhance our understanding of ligament injury and prevention, tissue engineering, prosthetic design, osteoporosis, and osteoarthritis. The current state-of-the-art in movement simulation is to us...