Special Issue "Advances in Steel Structures: Testing, Modelling and Design"
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 10 January 2024 | Viewed by 11217
Special Issue Editors
Interests: high-performance steel structures; structural stability; open-section members; 3D concrete and metal printing
Special Issues, Collections and Topics in MDPI journals
Interests: fire safety of steel structure; steel-concrete composite structure; prefabricated steel structure
Interests: high-performance steel; fire design; structural stability; stainless steel
Interests: cold-formed steel; high-strength steel; stainless steel; structural stability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Steel has the equivalent strength of traditional construction material that is three times its weight. Owing to its superior strength-to-weight ratio, steel allows for designing lightweight structural components and is thus increasingly used in construction. The use of structural steel in construction can also reduce the impact of building activities on the environment since it is a recyclable material, presenting a smaller carbon footprint throughout its lifecycle. Moreover, steel can also be prefabricated with highly accurate automation machineries or facilities, enabling improved productivity and quality control.
This Special Issue in the journal Buildings, entitled ‘Advances in Steel Structures: Testing, Modelling and Design’, aims to present the state-of-the-art advances in steel-related topics in structural engineering. The guest editors warmly invite submissions concerning experimental, numerical and theoretical investigations on steel structures in building sciences. Topics of interest include (but are not limited to):
- High-strength steel, stainless steel and aluminum alloy structures;
- Hybrid structures with mixed use of different materials;
- Regular and irregular cross-sections;
- Built-up section members;
- Steel–concrete composite structures;
- Steel joints and connections;
- 3D printing;
- Machine-learning-based design;
- Extreme loading conditions, e.g., fire, impact, etc.
Dr. Lulu Zhang
Prof. Dr. Peijun Wang
Dr. Zhe Xing
Dr. Boshan Chen
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
- high-strength steel, stainless steel and aluminum alloy structures
- hybrid structures with mixed use of different materials
- regular and irregular cross-sections
- built-up section members
- steel–concrete composite structures
- steel joints and connections
- 3D printing
- machine-learning-based design
- extreme loading conditions, e.g., fire, impact, etc