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Theory and Innovative Applications of Ultra-High Performance Concrete (UHPC)

This special issue belongs to the section “Building Structures“.

Special Issue Information

Dear Colleagues,

This Special Issue focuses on cutting-edge developments in ultra-high performance concrete (UHPC), with particular emphasis on its theoretical foundations and innovative applications, especially in wind power structures. We aim to provide a comprehensive platform for researchers, engineers, and practitioners to share their latest findings and insights in this rapidly evolving field.

We welcome original research papers, review articles, and case studies covering, but not limited to, the following topics:

Materials and Mix Design:

  • Advanced cementitious materials and supplementary materials;
  • Optimization of fiber reinforcement systems;
  • Novel admixtures and their effects on UHPC performance;
  • Sustainable UHPC incorporating recycled materials.

Structural Behavior and Design:

  • Mechanical properties and constitutive modeling;
  • Fatigue and dynamic response;
  • Durability and long-term performance;
  • Design methods and the development of standards;
  • Numerical simulation and experimental validation.

Intelligent Detection Methods:

  • Implementation of unmanned aerial vehicles (UAVs) for structural inspections and monitoring;
  • Advanced image recognition techniques for detecting cracks and assessing damage in UHPC structures;
  • Integration of artificial intelligence (AI) with sensor data for predictive maintenance and anomaly detection.

Wind Power Applications:

  • UHPC towers for wind turbines;
  • Hybrid tower systems;
  • Connection details and structural optimization;
  • Construction methods and quality control;
  • Life-cycle assessment and cost analysis.

Innovative Applications:

  • Prefabricated UHPC elements;
  • Bridge engineering applications;
  • Marine and offshore structures;
  • Repair and strengthening solutions.

We particularly encourage submissions that address the following topics:

  • Multi-scale modeling approaches;
  • Advanced experimental techniques;
  • Sustainability aspects and carbon footprint reduction;
  • Industry 4.0 integration in UHPC production;
  • Performance-based design methodology.

This Special Issue aims to advance our understanding of UHPC technology and promote its wider adoption in sustainable construction, particularly in wind energy infrastructure.

Prof. Dr. Xiangguo Wu
Prof. Dr. Yunchao Tang
Prof. Dr. Junping Liu
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 250 words) can be sent to the Editorial Office for assessment.

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 semimonthly 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

  • ultra-high-performance concrete
  • wind power structures
  • sustainable construction
  • advanced materials
  • UAV image
  • artificial intelligence
  • deep learning

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Buildings - ISSN 2075-5309