Reprint

Current Problems and Advances in Computational and Applied Mechanics

Edited by
May 2024
490 pages
  • ISBN978-3-7258-1061-1 (Hardback)
  • ISBN978-3-7258-1062-8 (PDF)

This book is a reprint of the Special Issue Current Problems and Advances in Computational and Applied Mechanics that was published in

Computer Science & Mathematics
Summary

Advances in computational solid and fluid mechanics have led to significant developments in a large variety of fields, including engineering, physics, and medicine. Computational mechanics offers design flexibility, sophistication, and experimentation, enabling engineers to analyse complex design problems and optimisation solutions efficiently at reduced costs. This Special Edition illustrates the latest advances in computational solid mechanics, fluid mechanics, and coupled problems, and their application to practical engineering problems. This volume contains the scientific contributions presented at the 5th African Conference on Computational Mechanics (AfriComp5) which took place in Cape Town, South Africa, 2–4 November 2022. The articles comprise topics from the wide range of applied mechanics and mathematics including structural mechanics; fluid mechanics; fluid–structure interaction; biomechanics; damage and fracture mechanics; multi-scale mechanics; multi-physics; advanced numerical methods; optimisation and design; and big data and machine learning. Only original contributions were considered for inclusion. All articles were subjected to a full process of double-blind peer review. The review of manuscripts was undertaken by members of the Scientific Advisory Board and other identified leading experts, acting independently on one or more assigned manuscripts. The reader would find this Special to be a useful reference of the state of the art in a variety of areas spanning theoretical and applied mechanics.

Format
  • Hardback
License
© 2024 by the authors; CC BY-NC-ND license
Keywords
packed bed; porosity; sphere; cylindrical plane; intersection area; numerical integration; cardiovascular 0D model; pulmonary arterial pressure; gradient-based optimization; automatic differentiation; elliptic–parabolic system; leaf venation; Darcy’s law; finite differences scheme; semi-implicit scheme; symmetric ADI method; hydrocyclone; surging; computational fluid dynamics; granular dynamics; air-core; discrete element method; corrugated cardboard; panel compression; digital image correlation; finite element analysis; treatment effects; counterfactuals; confounding; linear complex; cell; polyhedral partition; topological modeling; topological tables; topology; neighborhood; digital image correlation; error compensation; out-of-plane motion; strain gauges; full-field strain data; advancing ratio; noise acoustics; sound pressure level; vortex shedding; OpenFOAM; gas-solid reactions; fictitious domain; hydrogen reduction; homogenisation; corrugated paperboard; finite element analysis; optimisation; finite element; reduced-order-modelling; soft robot; hierarchical design framework; soft actuator; pneumatic network; computational fluid dynamics; hydrocyclone; pressure drop; separation efficiency; split water ratio; vortex finder length; generalized finite difference (GFD); meshless Lagrangian method (MLM); incompressible; multiphase; high density ratio; deep learning; physics-informed neural networks; thermofluid process modeling; pneumatic soft robot; reduced-order model; Encapsulation, Syllabus, and Pandamonium; generalizedfinite difference (GFD); meshless Lagrangian method (MLM); multiphase; atomization; spectral analysis; fast Fourier transform; surrogate models; gradient enhanced; compliant mechanisms; ultrasonic guided waves; deep learning; inspection data; welded rail track; fluid–structure interactions; fictitious domain; preconditioners; parallel solver; multiphysics; plasma; gasification; Physics-Informed Neural Networks; Computational Fluid Dynamics; aortic valve; valvular stenosis; turbulent flow; computational fluid dynamics; CFD; flow-induced acoustics; pulmonary disease; vocalization; soft robot; Lindenmayer system; compositional pattern producing network; generative design; sintering model; standard dissipative continua; temporal integration; finite element method; mirror stereoscope; virtual reality; binocular rivalry; dichoptic vision; perceptual dominance; inverse finite element analysis; hyperelastic; Mooney–Rivlin; material characterization; subject-specific modeling; rheumatic heart diseases; finite element modeling; elastic material parameters