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Advanced Numerical and Computer Methods in Civil Engineering—2nd Edition
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Advanced Numerical and Computer Methods in Civil Engineering—2nd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".

Deadline for manuscript submissions: 30 June 2024 | Viewed by 1421

Special Issue Editor

Dr. Dongming Li

E-Mail Website1 Website2
Guest Editor
School of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, China
Interests: construction materials; mechanical analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The developments and applications of advanced numerical and computer methods in civil engineering have become increasingly important for modern engineers and researchers in recent decades. Advanced numerical and computer methods can be used, from the material level to the structural level, for solving nearly all engineering problems solely or in combination with experimental/theoretical studies. Some related research papers have been published in the previous edition of this Special Issue, which can be accessed using the following link:

https://www.mdpi.com/journal/buildings/special_issues/R8XH61D33E

In this Special Issue, we would like to collate manuscripts that present recent progress either in the novel development or the new application of advanced numerical and computer methods for solving problems in civil engineering. Our interests include, but are not limited to, the following areas:

  • Advanced finite element/meshless/boundary element/peridynamic/discrete element/date-driven-based/machine learning-based/CFD technologies in civil engineering;
  • Advanced atom-level/molecular-level/cross-scale/multi-physics modeling in civil engineering;
  • Advanced strength/stability/failure/fatigue/fracture/dynamic/thermal/accoustic analysis and optimization in civil engineering with numerical and computer methods;
  • Other contents in the scope of advanced numerical and computer methods in civil engineering. 

Dr. Dongming Li
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. Buildings 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 2600 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

  • numerical methods
  • computer methods
  • civil engineering
  • computational mechanics
  • computational materials

Related Special Issue

Published Papers (3 papers)

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Research

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28 pages, 2029 KiB  
Article
Investigation of Key Parameters Influencing Shear Behavior in Glass-Fiber-Reinforced Polymer (GFRP)-Reinforced Concrete (RC) Interior Slab–Column Connections
by Loai Alkhattabi, Nehal M. Ayash, Mohamed Hassan and Ahmed Gouda
Buildings 2024, 14(5), 1251; https://doi.org/10.3390/buildings14051251 (registering DOI) - 28 Apr 2024
Viewed by 123
Abstract
This article explores the punching shear behavior of GFRP-RC interior slab–column connections. The parameters tested included the column–aspect ratio (1.0, 2.0, 3.0, 4.0, and 5.0), perimeter-to-depth ratio for square column stubs with side lengths of 0.3, 0.4, 0.5, 0.6, and 0.7 meters, and [...] Read more.
This article explores the punching shear behavior of GFRP-RC interior slab–column connections. The parameters tested included the column–aspect ratio (1.0, 2.0, 3.0, 4.0, and 5.0), perimeter-to-depth ratio for square column stubs with side lengths of 0.3, 0.4, 0.5, 0.6, and 0.7 meters, and span-to-depth ratios of 4, 6, 8, 10, and 12. A review of the literature revealed that no previous study has investigated the effect of these parameters or their interactions on this type of connection. Numerically, twenty-five slabs were created using finite element (FE) software (V3), each with square dimensions of 2.5 meters and a constant thickness of 0.2 meters. The central column extended 0.3 meters from the top and bottom of the slab. All four sides of the slabs were supported, and the specimens underwent pure static shear load testing. The test results demonstrated that all slabs failed due to punching shear. Increasing any parameter value reduced the punching shear stresses. Additionally, the results indicated that Canadian (CSA-S806-12) and Japanese (JSCE-97) standards for FRP-RC materials generally provided the closest predictions of punching shear capacity compared to the American guideline, ACI 440.1R-22. However, all standards exhibited shortcomings and require enhancement and modifications, particularly to consider the impact of the span-to-depth ratio. Therefore, three equations were developed to predict the shear strength of the connections, yielding better results than those prescribed by the North American and Japanese standards. Full article
(This article belongs to the Special Issue Advanced Numerical and Computer Methods in Civil Engineering—2nd Edition)
25 pages, 12027 KiB  
Article
Study on the Equivalent Stiffness of a Local Resonance Metamaterial Concrete Unit Cell
by Haixiang Zhao, En Zhang and Guoyun Lu
Buildings 2024, 14(4), 1035; https://doi.org/10.3390/buildings14041035 - 08 Apr 2024
Viewed by 350
Abstract
This paper addresses the pressing scientific problem of accurately predicting the equivalent stiffness of local resonance metamaterial concrete unit cells. Existing theoretical models often fail to capture the nuanced dynamics of these complex systems, resulting in suboptimal predictions and hindering advancements in engineering [...] Read more.
This paper addresses the pressing scientific problem of accurately predicting the equivalent stiffness of local resonance metamaterial concrete unit cells. Existing theoretical models often fail to capture the nuanced dynamics of these complex systems, resulting in suboptimal predictions and hindering advancements in engineering applications. To address this deficit, this paper proposes a novel two-dimensional theoretical vibration model that incorporates shear stiffness, a crucial yet often overlooked parameter in previous formulations. Motivated by the need for improved predictive accuracy, this paper rigorously validates a new theoretical model through numerical simulations, considering variations in material parameters and geometric dimensions. The analysis reveals several key findings: firstly, the equivalent stiffness increases with elastic modulus while the error rate decreases, holding geometric parameters and Poisson’s ratio constant. Secondly, under fixed geometric parameters and coating elastic modulus, the equivalent stiffness rises with an increasing Poisson’s ratio, accompanied by a decrease in error rate. Importantly, this paper demonstrates that the proposed model exhibits the lowest error rate across all parameter conditions, facilitating superior prediction of equivalent stiffness. This advancement holds significant implications for the design and optimization of metamaterial structures in various engineering applications for vibration isolation, with promising enhancements of performance and efficiency. Full article
(This article belongs to the Special Issue Advanced Numerical and Computer Methods in Civil Engineering—2nd Edition)
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Review

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26 pages, 4954 KiB  
Review
Recent Advances of Self-Healing Materials for Civil Engineering: Models and Simulations
by Cen-Ying Liao, Lin Zhang, Si-Yu Hu, Shuai-Jie Xia and D. M. Li
Buildings 2024, 14(4), 961; https://doi.org/10.3390/buildings14040961 - 01 Apr 2024
Viewed by 684
Abstract
Empowering materials with self-healing capabilities is an attractive approach for sustainable development. This strategy involves using different methods to automatically heal microcracks and damages that occur during the service life of materials or structures. Initially, this study begins with an in-depth exploration of [...] Read more.
Empowering materials with self-healing capabilities is an attractive approach for sustainable development. This strategy involves using different methods to automatically heal microcracks and damages that occur during the service life of materials or structures. Initially, this study begins with an in-depth exploration of self-healing characteristics found in materials such as concrete, asphalt, and polymers. The differences and comparative merits and demerits between autogenous (intrinsic) healing and autonomic (extrinsic) healing are discussed, and it is found that intrinsic healing is more promising. Subsequently, the study explores how models are applied to assess self-healing efficiency. The results indicate that time and temperature have significant impacts on the self-healing process. However, there is a scarcity of research exploring the effects of load factors during service life. Computational simulation methodologies for microcapsules and asphalt within self-healing materials are investigated. Multiscale characterization and machine learning can further elucidate the healing mechanisms and facilitate the establishment of computational models. This study endeavors to realize the maximum capabilities of self-healing materials, paving the way for the design of sustainable and more effective self-repairing materials for various applications. Full article
(This article belongs to the Special Issue Advanced Numerical and Computer Methods in Civil Engineering—2nd Edition)
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