Advances in AI-Based Wind–Structure Interaction Dynamics
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 20 February 2027 | Viewed by 56
Editors
Interests: wind-induced vibration; intelligent flow control; wind turbine aerodynamic
Interests: fluid-structure interaction; high-performance computing; composite materials; flow control
Interests: tornado-induced effects; intelligent flow control; extreme wind field; wind energy harvest
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Recent developments in artificial intelligence (AI) and machine learning (ML) have opened transformative pathways for understanding and mitigating wind-induced effects on buildings. This Special Issue aims to showcase cutting-edge research that leverages AI techniques, including deep learning, reinforcement learning, physics-informed neural networks and data-driven reduced-order models, to address challenges in wind–structure interaction dynamics. This Special Issue is to provide an interdisciplinary platform presenting theoretical insights, computational methodologies and practical implementations that illustrate how AI can contribute to shaping smarter, more adaptive built environments. It also encourages new dialogues that position AI as a creative agent for fostering more inclusive and resilient buildings against wind hazards.
Suggested topics include, but are not limited to, the following:
- AI-accelerated simulation and surrogate modeling for wind loads and structural responses;
- Intelligent early warning systems for extreme wind events;
- Smart control strategies (active, semi-active or hybrid) for mitigating wind-induced vibrations;
- Data-driven digital twins for the real-time monitoring and maintenance of wind-sensitive structures;
- Physics-informed neural networks (PINNs) for complex fluid–structure interaction problems.
We invite original research articles, review papers and case studies that demonstrate novel AI methodologies or their practical deployment in wind engineering. Submissions that bridge the gap between data-driven approaches and classical aerodynamic/structural theories are particularly encouraged. All submissions will undergo rigorous peer review.
Dr. Hongfu Zhang
Dr. Zhaokun Wang
Dr. Lei Zhou
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-anonymized 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
- wind-induced effects
- extreme wind event
- AI for flow control
- wind–structure interaction
- data-driven reduced-order models
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