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Infrastructures
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Computational Methods in Engineering
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Computational Methods in Engineering

A special issue of Infrastructures (ISSN 2412-3811).

Deadline for manuscript submissions: 31 May 2026 | Viewed by 1305

Special Issue Editors

Prof. Dr. Moacir Kripka

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Guest Editor
Civil and Environmental Engineering Graduate Program (PPGEng), University of Passo Fundo, Passo Fundo CEP 99052-900, Brazil
Interests: structural analysis; engineering optimization; structural optimization; concrete; multi-objective optimization; reinforced concrete; optimization methods; optimization software; lifecycle assessment
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Élcio Cassimiro Alves

E-Mail Website
Guest Editor
Department of Civil Engineering, Federal University of Espírito Santo, Vitoria, Espírito Santo, Brazil
Interests: structural analysis; engineering optimization; structural optimization; concrete; steel and concrete composite structures; multi-objective optimization; reinforced concrete; optimization methods; neural network; optimization software; lifecycle assessment
Prof. Dr. Víctor Yepes

E-Mail Website
Guest Editor
Construction Engineering Department, Universitat Politècnica de València, 46022 Valencia, Spain
Interests: multi-objective optimization; structure optimization; lifecycle assessment; reliability-based maintenance optimization; optimization and decision-making under uncertainty
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, titled “Computational Methods in Engineering”, invites high-quality original contributions focusing on the development and application of computational techniques in science and engineering. The issue is organized in connection with the XLVI Ibero-Latin American Congress on Computational Methods in Engineering (CILAMCE 2025), which will occur in Vitória, Espírito Santo, Brazil, in November 2025.

CILAMCE is a long-standing international conference, officially promoted since 1977 by the Brazilian Association for Computational Methods in Engineering (ABMEC). It is recognized as the most traditional event in Latin America, bringing together leading researchers and professionals worldwide to discuss recent advances in computational modeling, simulation, and numerical methods applied across various engineering domains.

The authors of papers presented at CILAMCE 2025 are especially encouraged to submit extended versions of their work. However, the Special Issue is open to all researchers worldwide, and all submissions will undergo a rigorous peer-review process. Contributions should present significant scientific or technological advances, with clear relevance to engineering applications.

Topics of interest include (but are not limited to) aerospace, nuclear applications, artificial intelligence, advanced materials, industrial applications, infrastructure, renewable energy, communications, disaster monitoring and prevention, sanitation, water security, structural analysis, and structural optimum design.

Prof. Dr. Moacir Kripka
Prof. Dr. Élcio Cassimiro Alves
Prof. Dr. Víctor Yepes
Guest Editors

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 250 words) can be sent to the Editorial Office for assessment.

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. Infrastructures is an international peer-reviewed open access monthly 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 1800 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

  • computational methods
  • numerical modeling
  • simulation
  • engineering applications
  • applied mechanics
  • scientific computing
  • artificial intelligence in engineering
  • structural analysis
  • multiphysics modeling

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

15 pages, 4310 KB  
Article
Parametric Analysis in the Optimization Design of Composite Cellular Beams
by Maria Célia Loss Brandão, Lorena Yepes-Bellver, Moacir Kripka and Élcio Cassimiro Alves
Infrastructures 2026, 11(4), 135; https://doi.org/10.3390/infrastructures11040135 - 13 Apr 2026
Viewed by 302
Abstract
This study aims to present a parametric analysis in the optimization problem for steel-concrete composite cellular beams with steel deck slabs. A comparative analysis was carried out considering two scenarios, namely, (i) in the first scenario, the slab span and applied loads were [...] Read more.
This study aims to present a parametric analysis in the optimization problem for steel-concrete composite cellular beams with steel deck slabs. A comparative analysis was carried out considering two scenarios, namely, (i) in the first scenario, the slab span and applied loads were varied, adopting slab configurations from a manufacturer’s catalog for spans of 10 m to 20 m with a step of 2.5 m; (ii) in the second scenario, the same span and loading conditions were considered; however, slab optimization was performed by introducing reinforcement in order to evaluate the resulting impacts on the structural design. In both analyzed scenarios, the objective function was defined as the composite system’s CO2 emissions. The design constraints were defined based on literature recommendations, and to solve the optimization problem, the Particle Swarm Optimization (PSO) algorithm was also adopted. The results demonstrate that the PSO algorithm was effective in identifying optimal solutions and that the introduction of slab reinforcement, combined with optimal design, led to CO2 emission reductions of up to 25% at the highest load levels analyzed. Full article
(This article belongs to the Special Issue Computational Methods in Engineering)
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26 pages, 3241 KB  
Article
Structural Evaluation Procedure for Heavy Haul Railway Tracks Using Field Instrumentation and Numerical Back-Analysis
by Antônio Carlos Rodrigues Guimarães, William Wilson dos Santos, Lucas Marinho Buzatto, Caio Vinícius Schlogel, Gabriel de Carvalho Nascimento, Sergio Neves Monteiro and Lisley Madeira Coelho
Infrastructures 2026, 11(4), 125; https://doi.org/10.3390/infrastructures11040125 - 2 Apr 2026
Viewed by 368
Abstract
Structural evaluation of railway tracks in operation requires the integration of field measurements and numerical models capable of adequately representing the mechanical behavior of permanent railway pavement components. In this context, this study presents the structural analysis of a railway segment based on [...] Read more.
Structural evaluation of railway tracks in operation requires the integration of field measurements and numerical models capable of adequately representing the mechanical behavior of permanent railway pavement components. In this context, this study presents the structural analysis of a railway segment based on the combination of field instrumentation, laboratory testing, and numerical simulations grounded in the Finite Element Method, adopting linear elastic and resilient material behavior for all track components, using SysTrain software (v.1.88).The objective of this work is to assess the application of a back-analysis methodology based on field instrumentation and numerical modeling, as well as to verify the structural conditions of an in-service railway pavement. The back-analysis was conducted using the SysTrain software, with a focus on calibrating the ballast resilient modulus (RM) and analyzing its effects on the propagation of stresses, internal forces, and displacements throughout the track structure. To this end, field-measured deflections obtained from LVDT sensors installed at the sleeper ends were used, together with the geotechnical, resilient, and permanent deformation (PD) characterization of the underlying soil layers obtained in the laboratory. The results indicated that the calibration of the numerical model requires a ballast resilient modulus in the order of 1500 MPa, suggesting a condition of high layer stiffness. The simulations showed vertical stress levels below 100 kPa in the lower layers, while laboratory tests revealed the high susceptibility of the soils to PD, particularly under moisture variations. It is concluded that the applied methodology enables a consistent assessment of the structural conditions of the track and contributes to a more robust understanding of the ballast response under repeated loading, providing support for railway design, maintenance, and management criteria. Full article
(This article belongs to the Special Issue Computational Methods in Engineering)
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