Composite Structural Members in the Building Sector: From Design to Materials

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

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 4712

Special Issue Editor

School of Civil and Environmental Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), Ultimo, NSW 2007, Australia
Interests: composite cold-formed steel flooring systems; composite structural members; steel structures; seismic design and earthquake engineering; dynamic soil-structure interaction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Traditionally, structural members consist of conventional materials, such as masonry, timber, steel, and concrete, have dominated the building sector. However, in recent years, composite structural members have attracted significant interest as replacements due to their numerous advantages. The use of composite structural members is widely recognized as an efficient way of enhancing structural performance by ensuring that the two (or more) materials used in the composite structural member act as a unit. Such arrangements seek to combine their different properties to provide a more effective overall solution.

To date, the number of primary structural applications of composite structural members in building construction has remained relatively low and there appear to be several issues contributing to their slow uptake by the construction industry. Issues such as cost, absence of design standards, lack of industry standardization, poor understanding of construction issues by composites industry, and lack of designers experienced with composite structures are commonly placing these structural members at a disadvantage when considered against traditional structural members.

This Special Issue of Buildings will focus on innovative and emerging methods and solutions, developed by researchers and professional engineers around the globe, to promote and advance the use of composite structural members in the building sector.

Dr. Harry Far
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

  • Composite structural members
  • steel–concrete composite members
  • composite cold-formed steel and concrete flooring systems
  • fiber-reinforced polymer composite members
  • composite cold-formed steel and timber flooring systems
  • composite PVC-encased concrete walls
  • composite slabs
  • composite beams
  • composite columns
  • composite connections
  • composite walls
  • composite sandwich panels

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

26 pages, 13910 KiB  
Article
Modelling of Cyclic Load Behaviour of Smart Composite Steel-Concrete Shear Wall Using Finite Element Analysis
by Hadee Mohammed Najm, Amer M. Ibrahim, Mohanad Muayad Sabri, Amer Hassan, Samadhan Morkhade, Nuha S. Mashaan, Moutaz Mustafa A. Eldirderi and Khaled Mohamed Khedher
Buildings 2022, 12(6), 850; https://0-doi-org.brum.beds.ac.uk/10.3390/buildings12060850 - 17 Jun 2022
Cited by 8 | Viewed by 2121
Abstract
In recent years, steel-concrete composite shear walls have been widely used in enormous high-rise buildings. Due to their high strength and ductility, enhanced stiffness, stable cycle characteristics and large energy absorption, such walls can be adopted in auxiliary buildings, surrounding the reactor containment [...] Read more.
In recent years, steel-concrete composite shear walls have been widely used in enormous high-rise buildings. Due to their high strength and ductility, enhanced stiffness, stable cycle characteristics and large energy absorption, such walls can be adopted in auxiliary buildings, surrounding the reactor containment structure of nuclear power plants to resist lateral forces induced by heavy winds and severe earthquakes. The current study aims to investigate the seismic behaviour of composite shear walls and evaluate their performance in comparison with traditional reinforced concrete (RC) walls when subjected to cyclic loading. A three-dimensional finite element model is developed using ANSYS by emphasising constitutive material modelling and element type to represent the real physical behaviour of complex shear wall structures. The analysis escalates with parametric variation in reinforcement ratio, compressive strength of the concrete wall, layout of shear stud and yield stress of infill steel plate. The modelling details of structural components, contact conditions between steel and concrete, associated boundary conditions and constitutive relationships for the cyclic loading are explained. The findings of this study showed that an up to 3.5% increase in the reinforcement ratio enhanced the ductility and energy absorption with a ratio of 37% and 38%, respectively. Moreover, increasing the concrete strength up to 55 MPa enhanced the ductility and energy absorption with ratios of 51% and 38%, respectively. Thus, this improves the contribution of concrete strength, while increasing the yield stress of steel plate (to 380 MPa) enhanced the ductility (by a ratio of 66%) compared with the reference model. The present numerical research shows that the compressive strength of the concrete wall, reinforcement ratio, layout of shear stud and yield stress of infill steel plate significantly affect ductility and energy absorption. Moreover, this offers a possibility for improving the shear wall’s capacity, which is more important. Full article
Show Figures

Figure 1

16 pages, 5095 KiB  
Article
Axial Compression Prediction and GUI Design for CCFST Column Using Machine Learning and Shapley Additive Explanation
by Xuerui Liu, Yanqi Wu and Yisong Zhou
Buildings 2022, 12(5), 698; https://0-doi-org.brum.beds.ac.uk/10.3390/buildings12050698 - 23 May 2022
Cited by 3 | Viewed by 1834
Abstract
Axial bearing capacity is the key index of circular concrete-filled steel tubes (CCFST). A hybrid PSO-ANN model consisting of an artificial neural network (ANN) optimized with particle swarm algorithm (PSO) was proposed to reliably and accurately predict the axial bearing capacity in this [...] Read more.
Axial bearing capacity is the key index of circular concrete-filled steel tubes (CCFST). A hybrid PSO-ANN model consisting of an artificial neural network (ANN) optimized with particle swarm algorithm (PSO) was proposed to reliably and accurately predict the axial bearing capacity in this paper. The predictive performance of the model was evaluated and compared with the EC4 code and original ANN based on a dataset of 227 experiments, and a graphical user interface (GUI) was developed to achieve the automatic output of the results. The influence of each design parameter on the bearing capacity was analyzed and quantified using the Shapley additive explanation (SHAP) method and sensitivity analysis. The results show that the prediction performance of the PSO-ANN model is superior, and can be recommended as a candidate for the prediction of axial compression bearing capacity of the CCFST column in terms of performance indices. Shapley additive explanation-based parameter analysis indicated that the diameter and thickness of the steel tube are the most two important parameters to the bearing capacity; in particular, the fluctuation of the diameter under the stochastic environment leads to the variation of the axial compression bearing capacity beyond the diameter itself. Full article
Show Figures

Figure 1

Back to TopTop