Advanced Applications of AI-Driven Structural Control
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 30 June 2026 | Viewed by 104
Special Issue Editors
Interests: civil engineering; structural engineering; machine learning; artificial intelligence
2. Center for Engineering Application & Technology Solutions, Ho Chi Minh City Open University, Ho Chi Minh City 700000, Vietnam
Interests: structural health monitoring using vibration analysis and AI-based methods
Special Issues, Collections and Topics in MDPI journals
Interests: computational mechanics; construction and building materials; structural health monitoring; engineering structures
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Structural control has entered a transformative era driven by rapid advances in artificial intelligence, data analytics, and smart sensing technologies. As modern infrastructure faces increasing demands—ranging from extreme climate events and aging materials to complex dynamic loading—AI-enabled strategies are reshaping how we monitor, assess, and control the behavior of civil, mechanical, and aerospace structures. The integration of machine learning, deep learning, reinforcement learning, digital twins, and high-fidelity numerical simulations is enabling unprecedented improvements in accuracy, decision speed, adaptability, and resilience. These innovations support the development of intelligent systems capable of predicting structural responses, optimizing control actions in real time, and autonomously recommending maintenance strategies. As a result, AI-driven structural control is emerging as a cornerstone of next-generation smart infrastructure. This Special Issue aims to gather high-quality, cutting-edge research exploring novel theories, algorithms, experimental validations, and real-world applications of AI in structural control. We encourage contributions that advance fundamental understanding, propose innovative hybrid AI–mechanics methods, and demonstrate the practical potential of intelligent control systems across engineering domains.
Dr. Abdelwahhab Khatir
Dr. Samir Khatir
Prof. Dr. Roberto Capozucca
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
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AI-Enhanced Structural Control Methods
- Machine Learning for Structural Dynamics
- Digital Twins for Infrastructure Control
- Smart Sensing and Intelligent Monitoring
- Damage Detection and Control During Extreme Events
- Optimization Frameworks and Metaheuristics
- AI for Structural Health Monitoring and Control Integration
- Applications Across Engineering Fields
- Experimental based static and dynamics analysis
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