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Modelling
Special Issues
The 5th Anniversary of Modelling
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The 5th Anniversary of Modelling

A special issue of Modelling (ISSN 2673-3951).

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1290

Special Issue Editors

Prof. Dr. Alfredo Cuzzocrea

E-Mail Website
Guest Editor
1. DISPES Department, University of Calabria, 87036 Rende, Italy
2. Institute of High Performance Computing and Networking, Italian National Research Council, Via P. Bucci, 7/11C, 87036 Rende, Italy
Interests: database; data mining; data warehousing; distributed computing; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Wei Gao

E-Mail Website
Guest Editor
School of Civil and Environmental Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Interests: computational mechanics; non-deterministic modelling and methods; AI and machine learning in structural analysis and design; stochastic structural analysis and safety assessment in CAD/CAE; composite materials and structures; structural optimization and metamaterial design

Special Issue Information

Dear Colleagues,

We will celebrate the 5th Anniversary of Modelling (ISSN 2673-3951) in the year 2025. Hence, we are organizing a Special Issue to commemorate this important milestone. During the past 5 years, Modelling has significantly contributed to scientific advancements in the multidisciplinary field of modelling and simulation. As such, Modelling will continue to serve as a forum wherein novel discoveries are widely shared with the scientific community and the general public at large.

To help celebrate this important event, we warmly invite you to submit original research papers and comprehensive review articles related to the development and applications of modelling and simulation techniques for peer-review and possible publication in this Special Issue.

Prof. Dr. Alfredo Cuzzocrea
Prof. Dr. Wei Gao
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 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. Modelling is an international peer-reviewed open access quarterly 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 1000 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

  • modelling and simulation
  • engineering
  • optimization
  • computational intelligence
  • computational mechanics
  • intelligent and expert systems

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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

17 pages, 14006 KiB  
Article
Virtual Modelling Framework-Based Inverse Study for the Mechanical Metamaterials with Material Nonlinearity
by Yuhang Tian, Yuan Feng and Wei Gao
Modelling 2025, 6(1), 24; https://doi.org/10.3390/modelling6010024 - 20 Mar 2025
Cited by 1 | Viewed by 335
Abstract
Mechanical metamaterials have become a critical research focus across various engineering fields. Recent advancements have pushed the development of reprogrammable mechanical metamaterials to achieve adaptive mechanical behaviours against external stimuli. The relevant designs strongly depend on a thorough understanding of the response spectrum [...] Read more.
Mechanical metamaterials have become a critical research focus across various engineering fields. Recent advancements have pushed the development of reprogrammable mechanical metamaterials to achieve adaptive mechanical behaviours against external stimuli. The relevant designs strongly depend on a thorough understanding of the response spectrum of the original structure, where establishing an accurate virtual model is regarded as the most efficient approach to this end up to now. By employing an extended support vector regression (X-SVR), a powerful machine learning algorithm model, this study explores the uncertainty and sensitivity analysis and inverse study of re-entrant honeycombs under quasi-static compressive loads. The proposed framework enables accurate uncertainty quantification, sensitivity analysis, and inverse study, facilitating the related design and optimisation of metastructures when extended to responsive materials. The proposed framework is considered an effective tool for uncertainty quantification and sensitivity analysis, enabling the identification of key parameters affecting mechanical performance. Finally, the inverse study approach leverages X-SVR to swiftly obtain the required structural configurations based on targeted mechanical responses. Full article
(This article belongs to the Special Issue The 5th Anniversary of Modelling)
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22 pages, 19758 KiB  
Article
Global Buckling Simulation and Design of a Novel Concrete-Filled Corrugated Steel Tubular Column
by Chao-Qun Yu, Sheng-Jie Duan and Jing-Zhong Tong
Modelling 2025, 6(1), 22; https://doi.org/10.3390/modelling6010022 - 10 Mar 2025
Viewed by 571
Abstract
A novel concrete-filled corrugated steel tubular (CFCST) column composed of corner steel bars and corrugated steel plates filled with concrete has been proposed recently. Columns with large height-to-width ratios are commonly used in practice, where they are often subjected to eccentric compression. However, [...] Read more.
A novel concrete-filled corrugated steel tubular (CFCST) column composed of corner steel bars and corrugated steel plates filled with concrete has been proposed recently. Columns with large height-to-width ratios are commonly used in practice, where they are often subjected to eccentric compression. However, there is a lack of research on their stability behavior under such conditions. This study presented a numerical analysis to evaluate the stability performance of CFCST columns under eccentric compression, with eccentricity ratios ranging from 0 to 2.0 and height-to-width ratios between 10 and 30. The numerical results indicated that the N–M interaction curve became less convex as the height-to-width ratio increased. Concrete strength and column width had a greater impact on the stability performance of the CFCST columns at low eccentricity ratios, while steel strength and steel bar width were more influential at high eccentricity ratios. The comparison between numerical and calculation results specified in AISC 360 and GB 50936 showed that both of them were unsuitable to estimate the stability performance of the column under eccentric compression. Finally, a formula was fitted, and the error was basically within 15%, which offered significantly improved accuracy over current design codes. Full article
(This article belongs to the Special Issue The 5th Anniversary of Modelling)
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