Advances in Methods for Performance Characterization and Prediction of Reinforced Concrete—2nd Edition

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Materials, and Repair & Renovation".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 41

Special Issue Editors


E-Mail Website
Guest Editor
School of Civil Engineering, Guangzhou University, Guangzhou 510006, China
Interests: AI prediction; green civil materials
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Civil and Architectural Engineering, Shandong University of Technology, Zibo 255000, China
Interests: fatigue and fracture; data-driven method; green civil materials
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Reinforced concrete is essential for buildings and construction. However, conventional concepts and approaches to the performance characterization and prediction of reinforced concrete are not always appropriate for the current requirements of durability and toughness in civil engineering. Notwithstanding the enormous efforts of academic researchers and the industry, a general solution for performance characterization under exceptional conditions (e.g., dynamic loads, freeze-thawing) and high-efficiency performance prediction (e.g., big data, uncertainty, and self-adaption) needs to be discussed further. Several relevant studies have already been published in the first volume of this Special Issue. You can find them at the following link: [https://mdpi.longhoe.net/journal/buildings/special_issues/0F862UJ9JK]. This Special Issue aims to collect both original research and review articles regarding innovative methods for the performance characterization and prediction of reinforced concrete materials and structures.

Potential topics include but are not limited to the following:

  • Multiscale analysis;
  • Thermal analysis;
  • Machine learning methods;
  • Data-driven methods;
  • Uncertainty quantification;
  • Special loading conditions (dynamic loads, freeze-thawing, etc.).

Dr. Jiandong Huang
Dr. Jiaolong Ren
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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

  • reinforced concrete
  • durability
  • mechanical property
  • performance characterization
  • performance prediction
  • multiscale analysis
  • thermal analysis
  • data-driven method
  • special loading condition

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Published Papers

This special issue is now open for submission.
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