Recent Advances in Computational Engineering (eBook) von Michael Schäfer

Optimization of design parameters of CIP spray cleaning nozzle using Genetic Algorithm.-  Multilevel Optimization of Fluid-Structure Interaction based on Reduced Order Models.- An investigation of airfoil noise prediction using hybrid LES/RANS models.- A high-order local Discontinuous Galerkin scheme for viscoelastic fluid flow.- A Bramble-Pasciak conjugate gradient method for discrete Stokes problems with lognormal random viscosity.- Linear Solvers for the Finite Pointset Method.- Additional degrees of parallelism within the Adomian decomposition method.- Integrated modeling and validation for phase change with natural convection.- A weighted reduced basis method for parabolic PDEs with random data.- Modeling of the compressed-air flow impact for thermoforming simulations.- Monolithic simulation of convection-coupled phase-change -- verification and reproducibility.

This book comprises the proceedings of the 4th International Conference on Computational Engineering (ICCE 2017), held in Darmstadt, Germany on September 28-29, 2017. The conference is intended to provide an interdisciplinary meeting place for researchers and practitioners working on computational methods in all disciplines of engineering, applied mathematics and computer science. The aims of the conference are to discuss the state of the art in this challenging field, exchange experiences, develop promising perspectives for future research and initiate further cooperation.

Computational Engineering is a modern and multidisciplinary science for computer-based modeling, simulation, analysis, and optimization of complex engineering applications and natural phenomena. The book contains an overview of selected approaches from numerics and optimization of Partial Differential Equations as well as uncertainty quantification techniques, typically in multiphysics environments. Where possible, application cases from engineering are integrated.

The book will be of interest to researchers and practitioners of Computational Engineering, Applied Mathematics, Engineering Sciences and Computer Science.