Advanced Fiber-Reinforced Composites and AI-Driven Assessment for Building Structures

Dear Colleagues,

As one of the main high-performance building materials, fiber-reinforced polymer (FRP) offers outstanding properties, including light weight, high strength, corrosion resistance, fatigue resistance, creep resistance, low relaxation, and low thermal deformation. In most applications, it produces lower carbon emissions than comparable concrete or steel structures, demonstrating significant potential for carbon reduction. The application of FRP in building structures can reduce the consumption of building materials, lower transportation energy consumption, extend the service life of buildings, and enhance durability, all of which are key to reducing the full life-cycle costs and carbon emissions of buildings. However, insufficient research on the long-term service performance of fiber-reinforced composites has led to concerns about their long-term safety, thereby limiting their widespread application. The development of AI-driven assessment technologies offers unprecedented opportunities to research the long-term service performance of fiber-reinforced composites and is crucial to promoting their widespread adoption in building structures. To advance the integration of fiber-reinforced composites with AI-driven predictive technologies, we are pleased to announce this Special Issue, ‘Advanced Fiber-Reinforced Composites and AI-Driven Assessment for Building Structures’.

This Special Issue aims to bring together cutting-edge research and innovative methods to bridge the gap between fiber-reinforced composites, AI-driven assessment technologies, and structural engineering applications. We seek contributions addressing theoretical, experimental, and applied studies on the application of FRP in building structures and the performance assessment of FRP using an AI-driven method. Topics of interest include, but are not limited to, the following:

(1) The mechanical and multifunctional behavior of FRP;

(2) The microscopic damage mechanisms and evolution of FRP in complex service environments;

(3) Machine learning/AI-driven damage identification and assessment for FRP;

(4) Simulation techniques for the mechanical properties of FRP based on multiscale models;

(5) Mechanical properties, anchorage design, and engineering applications of FRP cables;

(6) Mechanical properties, design method, and engineering applications of FRP profiles and wrapped pipes;

(7) Machine learning/AI-driven assessments for the long-term service performance of FRP components;

(8) Mechanical properties and design methods of FRP structures;

(9) Resilience improvement techniques for building structures based on FRP;

(10) Machine learning/AI-driven assessments for mechanical properties and resilience of FRP structures.

Dr. Lichen Wang
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 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.

• FRP
• mechanical properties
• AI-driven assessment
• multiscale simulation
• long-term service performance
• FRP structures
• structural design methods
• resilience improvement