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Buildings
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Numerical and Experimental Research on Steel-Concrete Composite Structural Systems
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Numerical and Experimental Research on Steel-Concrete Composite Structural Systems

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

Deadline for manuscript submissions: 20 December 2024 | Viewed by 1910

Special Issue Editors

Dr. Jizhi Zhao

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Guest Editor
School of Civil Engineering, Chongqing University, Chongqing 400045, China
Interests: steel–concrete composite structures; composite structural systems; machine learning; constitutive models; finite element
Dr. Muxuan Tao

E-Mail Website
Guest Editor
Department of Civil Engineering, Tsinghua University, Beijing 100084, China
Interests: steel–concrete composite structures; concrete constitutive models; seismic time–history analysis; slab spatial composite effect; finite element model
Special Issues, Collections and Topics in MDPI journals
Dr. Liangdong Zhuang

E-Mail
Guest Editor
Department of Civil Engineering, Tsinghua University, Beijing 100084, China
Interests: steel–concrete composite structures; passive energy dissipation devices and systems; steel constitutive models; structure design

Special Issue Information

Dear Colleagues,

Compared with pre-stressed and steel-reinforced concrete structures, steel–concrete composite structures combine steel and concrete with shear connectors, providing the flexibility of steel and strength of concrete to solve the issues of large spans and heavy loads. Steel–concrete composite beams are widely used in engineering, owing to their excellent mechanical properties and economic benefits. This Special Issue, entitled “Numerical and Experimental Research on Steel-Concrete Composite Structural Systems”, aims to give an overview of the most recent innovations and advances in the field of steel–concrete composite structures and their applications. Theoretical research, experimental work, case studies and comprehensive review papers are invited for publication. Relevant topics to this Special Issue include, but are not limited to, the following subjects:

  • Composite structural systems;
  • Innovative forms of composite structures;
  • Numerical models of composite structures;
  • Intelligent analysis of composite structures;
  • Experimental research on composite structures;
  • Construction technology of composite structures;
  • Application of high-performance materials in composite structures.

Dr. Jizhi Zhao
Dr. Muxuan Tao
Dr. Liangdong Zhuang
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. 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

  • composite structures seismic performance
  • structural analysis
  • numerical simulation
  • machine learning
  • mechanical behavior
  • composite structural systems

Published Papers (2 papers)

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Research

22 pages, 6583 KiB  
Article
Data-Driven Prediction Model for High-Strength Bolts in Composite Beams
by Haolin Li, Xinsheng Yin, Lirong Sha, Dongdong Yang and Tianyu Hu
Buildings 2023, 13(11), 2769; https://doi.org/10.3390/buildings13112769 - 1 Nov 2023
Viewed by 746
Abstract
In recent years, the application of artificial intelligence-based methods to engineering problems has received consistent praise for their high predictive accuracy. This paper utilizes a BP neural network to predict the strength of steel–concrete composite beam shear connectors with high-strength friction-grip bolts (HSFGBs). [...] Read more.
In recent years, the application of artificial intelligence-based methods to engineering problems has received consistent praise for their high predictive accuracy. This paper utilizes a BP neural network to predict the strength of steel–concrete composite beam shear connectors with high-strength friction-grip bolts (HSFGBs). These connectors are widely used in bridge and building construction due to their superior strength and stiffness compared to traditional beams. A validated finite element model was used to predict the strength of HSFGB shear connectors. A reliable database was created by analyzing 208 models with different characteristics for machine learning modeling. Previous studies have identified issues with result variation and overestimation or underestimation of shear connection strength. Among the machine learning methods evaluated, the backpropagation neural network model performed the best. It achieved a goodness of fit of over 93% in both the training and testing sets, with a low coefficient of variation of 6.50%. Concrete strength, bolt diameter, and bolt tensile strength were found to be important variables influencing the strength of shear connectors. Other variables showed a proportional or inverse relationship with compressive strength, except for concrete strength and bolt pretension. This study presents an accurate machine learning approach for predicting the strength of HSFGB shear connectors in steel–concrete composite beams. The study offers valuable insights into the effects of various variables on the performance of shear connection strength, providing support for structural design and analysis. Full article
(This article belongs to the Special Issue Numerical and Experimental Research on Steel-Concrete Composite Structural Systems)
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19 pages, 7987 KiB  
Article
Numerical Study on the Seismic Behavior of Steel–Concrete Composite Frame with Uplift-Restricted and Slip-Permitted (URSP) Connectors
by Zhenhao Wu, Xin Nie, Jizhi Zhao, Wei Wang and Linli Duan
Buildings 2023, 13(10), 2598; https://doi.org/10.3390/buildings13102598 - 14 Oct 2023
Cited by 1 | Viewed by 863
Abstract
Uplift-restricted and slip-permitted (URSP) connectors have been demonstrated to effectively enhance the anti-cracking performance of RC slabs in negative moment areas. While their efficacy is recognized, studies of composite frames utilizing URSP connectors remain scarce, limiting their application in construction. This research undertakes [...] Read more.
Uplift-restricted and slip-permitted (URSP) connectors have been demonstrated to effectively enhance the anti-cracking performance of RC slabs in negative moment areas. While their efficacy is recognized, studies of composite frames utilizing URSP connectors remain scarce, limiting their application in construction. This research undertakes a numerical analysis of the seismic performance of steel–concrete composite frames that employ URSP connectors. The influence of key design parameters on seismic behavior is scrutinized. Leveraging prior tests on composite frames with URSP connectors carried out by the authors’ group, a sophisticated three-dimensional FEM model is crafted. This model, built using the ABAQUS software (2016), accounts for the intricate mechanical behaviors of shear connectors. The fidelity of the FEM model is validated through a juxtaposition of numerical and test outcomes, assessing strain distribution, damage patterns, and load–displacement curves. This numerical model serves as a basis for the study, exploring the impacts of three crucial design parameters on structural seismic performance. The findings suggest that the arrangement length of URSP connectors should be constrained to less than half of the frame beam’s span to optimize mechanical performance during seismic events. Additionally, enhancing both the flange thickness and the steel beam’s height is recommended to further bolster structural integrity. Full article
(This article belongs to the Special Issue Numerical and Experimental Research on Steel-Concrete Composite Structural Systems)
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