Numerical Modeling and Simulation in Engineering Sciences

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Engineering Mathematics".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1355

Special Issue Editor


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Guest Editor
Faculty of Science and Engineering, University of Groningen, 9747 AG Groningen, The Netherlands
Interests: CFD; numerical methods; pipelines; fluid mechanics; polymer processing; EOR

Special Issue Information

Dear Colleagues,

During the last 50 years, the use of computational tools applied to the design of engineering projects has been steadily increasing, as computers become more powerful and able to solve complex physical systems. These tools have in some cases replaced experimental approaches, especially in cases that may be dangerous or impossible to reproduce in real life (e.g., radioactive, micro-gravity). Computers now allow engineers to model, design, improve and/or predict the behavior of systems at different temporal/spatial scales.

This Special Issue focuses on the use of numerical simulation and mathematical models applied to engineering sciences, with emphasis on recent advances in numerical techniques and their application in industrial or academic applications. We are interested in papers addressing topics ranging from the novel application of existing mathematical tools to the development of novel numerical schemes to solve existing problems. This includes, but is not limited to, the following topics: (a) the use of standard numerical tools (e.g., finite difference, finite volume, finite element, meshless methods); (b) new numerical methodologies, including their validation with benchmarking cases; (c) high-performance computing, including new parallel computing algorithms; (d) the correct and effective modelling of initial and boundary conditions; (e) different types of balance equations in engineering; (f) mathematical modelling of multiphysics phenomena. Research articles, reviews papers and short communications are also invited.

Applications of numerical techniques may be applied to areas including, but not limited to, the following:

  • Computational fluid dynamics;
  • Solid mechanics;
  • Tribology;
  • Electrical and electromagnetic systems;
  • Optics;
  • Mass, momentum and heat-transfer processes;
  • Porous media;
  • Acoustics;
  • Electrochemistry;
  • Multibody solid mechanics;
  • Fluid–solid interactions;
  • Stability and control of robotic systems.

Dr. Pablo Druetta
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.

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Keywords

  • computational fluid dynamics (CFD)
  • three-dimensional modeling
  • solid mechanics modelling
  • FEM/FVM/BEM
  • meshless methods
  • traditional CFD
  • multiphysics phenomena
  • boundary conditions
  • mass, momentum and energy conservations
  • enhanced oil recovery
  • polymer processing simulation
  • multiscale modelling
  • molecular dynamics
  • advanced numerical methods
  • control of (non-)linear engineering systems

Published Papers (1 paper)

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Research

32 pages, 13468 KiB  
Article
Scattering and Attenuation in 5G Electromagnetic Propagation (5 GHz and 25 GHz) in the Presence of Rainfall: A Numerical Study
by Gabriela Aurora Yáñez-Casas, Carlos Couder-Castañeda, Jorge Javier Hernández-Gómez and Mauro Alberto Enciso-Aguilar
Mathematics 2023, 11(19), 4074; https://doi.org/10.3390/math11194074 - 26 Sep 2023
Viewed by 924
Abstract
Rainfall has always been a concern for wireless communications systems. As 5G technology relies on high-frequency bands, it is fundamental to model and simulate the interaction of such radio waves with rainfall, as the deployment of large-scale infrastructure for 5G is highly expensive. [...] Read more.
Rainfall has always been a concern for wireless communications systems. As 5G technology relies on high-frequency bands, it is fundamental to model and simulate the interaction of such radio waves with rainfall, as the deployment of large-scale infrastructure for 5G is highly expensive. This research presents a reformulation of the Maxwell equations for a bi-dimensional space in a transverse electric propagation mode, for a linear, inhomogeneous, and isotropic propagation medium with its magnetic and electric properties dependent on time. This reformulation was solved using the Finite Differences in Time Domain (FDTD) method with the Convolutional Perfectly Matched Layer (CPML) boundary condition. Two main frequency propagation scenarios were studied: 5 GHz (corresponding to Wi-Fi in the 802.11n standard as well as to the lowest bands of 5G) and 25 GHz (corresponding to 5G), within a 10m×3m rectangular domain in air and with rain. The rainfall was simulated using a parallel Ziggurat algorithm. According to the findings, while 5 GHz waves experience scattering processes, 25 GHz waves experience substantial dispersion and attenuation throughout the domain in low- to moderate-intensity rain. Full article
(This article belongs to the Special Issue Numerical Modeling and Simulation in Engineering Sciences)
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