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MCA
Special Issues
Current Problems and Advances in Computational and Applied Mechanics (AfriComp6)
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Current Problems and Advances in Computational and Applied Mechanics (AfriComp6)

A special issue of Mathematical and Computational Applications (ISSN 2297-8747). This special issue belongs to the section "Engineering".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 959

Special Issue Editor

Prof. Dr. Sebastian Skatulla

E-Mail Website
Guest Editor
Department of Civil Engineering, University of Cape Town, Private Bag X3, Rondebosch, 7701, Cape Town, South Africa
Interests: biomechanics: computational cardiac mechanics with application to rheumatic heart disease; multiscale methods with applications to soft tissue, reinforced concrete and soil mechanics; multiscale methods considering continua with micro structure: cosserat, micromorphic and generalised continua and their application to heterogeneous materials; smart structures, electro- and magnetomechanical coupling: electro- and magneto-active polymers, electro- and magnetostrictive materials; meshfree methods and high-performance computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue will collect contributions from the 6th African Conference on Computational Mechanics. Papers considered to fit the scope of the journal and to be of exceptional quality after evaluation will be published free of charge.

Prof. Dr. Sebastian Skatulla
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. Mathematical and Computational Applications is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biological systems
  • control theory and optimization
  • coupled and contact problems
  • damage, fracture and failure
  • data science and machine learning
  • discretization methods, grid, mesh and solid generation
  • flow problems
  • geomechanics and reservoirs modelling
  • graphics and visualization
  • high performance computing
  • inverse problems, optimization and design
  • manufacturing and process engineering
  • material design and modelling
  • multi-scale and multi-physics problems
  • numerical simulation methods
  • from data and models towards digital twins
  • reduction methods
  • structural mechanics, stability and dynamics
  • uncertainty quantification and error estimation

Published Papers (1 paper)

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Research

17 pages, 10189 KiB  
Article
Evaluation of Aortic Valve Pressure Gradients for Increasing Severities of Rheumatic and Calcific Stenosis Using Empirical and Numerical Approaches
by Lindi Grobler, Ryno Laubscher, Johan van der Merwe and Philip G. Herbst
Math. Comput. Appl. 2024, 29(3), 33; https://doi.org/10.3390/mca29030033 - 28 Apr 2024
Viewed by 226
Abstract
The evaluation and accurate diagnosis of the type and severity of aortic stenosis relies on the precision of medical imaging technology and clinical correlations and the expertise of medical professionals. The application of the clinical correlation to different aortic stenosis morphologies and severities [...] Read more.
The evaluation and accurate diagnosis of the type and severity of aortic stenosis relies on the precision of medical imaging technology and clinical correlations and the expertise of medical professionals. The application of the clinical correlation to different aortic stenosis morphologies and severities is investigated. The manner in which numerical techniques can be used to simulate the blood flow through pathological aortic valves was analysed and compared to the ground-truth CFD model. Larger pressure gradients are estimated in all severities of rheumatic aortic valves compared to calcific aortic valves. The zero-dimensional morphology-insensitive model underpredicted the transvalvular pressure gradient with the greatest error. The 1D model underestimated the pressure gradient in rheumatic cases and overestimated the pressure gradient in calcific cases. The pressure gradients estimated by the clinical approach depends on the location of the flow vena contracta and is sensitive to the severity and type of valve lesion. Through the analysis of entropy generation within the flow domain, the dominant parameters and regions driving adverse pressure gradients were identified. It is concluded that sudden expansion is the dominant parameter leading to higher pressure gradients in rheumatic heart valves compared to calcific ones. Full article
(This article belongs to the Special Issue Current Problems and Advances in Computational and Applied Mechanics (AfriComp6))
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