Reprint

Computational Methods for Coupled Problems in Science and Engineering

Edited by
May 2024
238 pages
  • ISBN978-3-7258-1137-3 (Hardback)
  • ISBN978-3-7258-1138-0 (PDF)

This book is a reprint of the Special Issue Computational Methods for Coupled Problems in Science and Engineering that was published in

Computer Science & Mathematics
Summary

The ninth edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021) was organized to take place on 13–16 June 2021. Due to the pandemic, COUPLED 2021 was a fully online and completely synchronous conference. The previous eight editions of this conference were held on the islands of Santorini (Greece) on 25-28 May 2005; Ibiza (Spain) on 21–23 May 2007; Ischia (Italy) on 8–11 June 2009; Kos (Greece) on 20–22 June 2011; Ibiza (Spain) on 17–19 June 2013; San Servolo, Venice (Italy), on 18–20 May 2015; Rhodes Island (Greece) on 12–14 June 2017; and Sitges (Spain) on 3–5 June 2019. The objectives of COUPLED PROBLEMS 2021 were to present and discuss the state of the art in mathematical models, numerical methods and computational techniques for solving coupling problems of a multidisciplinary character in science and engineering. The conference’s goal was to make advances in the formulation and solution of real-life problems with a multidisciplinary perspective, accounting for all the complex couplings involved in the physical description of the problem. The conference was one of the Thematic Conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS) and a Special Interest Conference of the International Association for Computational Mechanics (IACM). It was also supported by other scientific organizations in Europe and across the globe.

Format
  • Hardback
License
© 2024 by the authors; CC BY-NC-ND license
Keywords
order-preserving mapping; OP-Mapped WENO; hyperbolic conservation laws; boundary integral equations; layer potential identities; density subtractions; quadrature rules; topology optimization; cellular materials; multi-physics; homogenization; anisotropic mesh adaptation; regridding; remapping; interpolation; Earth system modelling; code coupling; coupler; coupling library; coupled models; ocean-atmosphere general circulation models; astrocytes; neural–glial coupled dynamics; Alzheimer’s disease; multiple scales; data assimilation; data-driven dynamic environments; biologic TNF-α inhibitors; neuroinflammation; AD drug development; biomarkers; deep autoencoder; advection-dominated flows; physics informed machine learning; LSTM; parametric model order reduction; non-intrusive reduced order modeling; musculoskeletal model; infant movement; biomechanics; motion capture; OpenSim; non-convex multi-objective optimization; partial differential equations; Pascoletti-Serafini method; augmented Lagrangian; reduced basis method; trust-region strategy; fluid-structure interaction; quasi-Newton; multiphysics coupling; cerebral; hemodynamics; aneurysm; rupture; artery; CFD