Intelligent Materials and Structural Health: Mechanics, Damage Detection, Performance Enhancement, and AI-Driven Techniques
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Building Structures".
Deadline for manuscript submissions: 1 May 2026 | Viewed by 19
Special Issue Editors
Interests: multi-hazard risk assessment and resilience for engineering structures
Special Issues, Collections and Topics in MDPI journals
Interests: research on the mechanical mechanisms of smart materials
Interests: structural health monitoring
Interests: modular steel structure and seismic resilience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of intelligent materials and advanced structural health monitoring systems has revolutionized the field of civil and mechanical engineering, offering unprecedented opportunities to address aging infrastructure, environmental challenges, and extreme loading conditions. The convergence of smart material mechanics, high-precision damage detection, and AI-driven predictive technologies is critical for enhancing structural resilience, optimizing performance, and ensuring long-term sustainability. To advance this interdisciplinary frontier, we are pleased to announce this Special Issue, ‘Intelligent Materials and Structural Health: Mechanics, Damage Detection, Performance Enhancement, and AI-Driven Techniques’.
This Special Issue aims to compile cutting-edge research and innovative methodologies that bridge material intelligence, structural diagnostics, and computational advancements. We invite contributions addressing theoretical, experimental, and applied studies focused on intelligent material systems, damage-sensitive analytics, and AI-enhanced structural optimization. Topics of interest include, but are not limited to, the following:
(1) Mechanical and multifunctional behavior of smart materials;
(2) Advanced sensor networks and IoT-enabled structural health monitoring;
(3) Machine learning/AI-driven damage identification and prognosis;
(4) Performance assessment and enhancement strategies;
(5) Digital twin frameworks for real-time structural integrity assessment;
(6) Multiscale modeling of material degradation and structural failure mechanisms;
(7) Energy-efficient materials for resilient and sustainable infrastructure;
(8) Autonomous damage detection via computer vision and robotics;
(9) AI-aided optimization of structural retrofitting and rehabilitation;
(10) Case studies on AI-integrated smart infrastructure systems.
By fostering collaboration across material science, mechanics, and data science, this Special Issue seeks to redefine the future of intelligent infrastructure and inspire next-generation solutions for global engineering challenges.
Dr. Xiaowei Zheng
Dr. Yao Zhang
Dr. Rumian Zhong
Dr. Qinglin Wang
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 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 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
- smart materials
- structural health monitoring damage detection
- AI-driven mechanics
- multiscale modeling
- digital twin technology
- self-healing polymers
- resilient infrastructure
- machine learning in structural engineering
- sustainable material systems
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