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Metamaterials and smart structures: Leveraging AI for design, optimization and adaptive engineering solutions
Abass Olalekan Ogunniran 1, *, Oluwafemi Odunayo Olusesan 2, Joseph Tosin Salako 3, Anietie Ime Edet 4, Elizabeth Olawumi Oyelami 5, Oluwatoyin Olawale Akadiri 6 and Azeez Arisekola Jimoh 7
1 Department of Metallurgical and Materials Engineering, Federal University of Technology Akure (FUTA).
2 Department of Materials and Metallurgical Engineering, University of Ilorin, Ilorin, Nigeria.
3 Department of Civil and Environmental Engineering, Federal University of Technology Akure, Ondo State.
4 Department of Civil Engineering, Akwa Ibom State University.
5 Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology Ogbomoso Oyo State Nigeria.
6 Department of Information Sciences, Bay Atlantic University, United States.
7 Department of Civil Engineering, Federal University of Technology Akure (FUTA).
Research Article
Global Journal of Engineering and Technology Advances, 2025, 24(03), 115–139.
Received on 25 July 2025; revised on 30 August 2025; accepted on 03 September 2025
In an era where engineering demands increasingly adaptive and resilient systems, this review delves into the profound synergy between metamaterials artificially engineered composites exhibiting extraordinary properties like negative refraction, tunable stiffness, and wave cloaking and smart structures, which embed sensing, actuation, and control mechanisms to dynamically respond to environmental stimuli, all amplified by the revolutionary power of artificial intelligence (AI). Exploring the fundamentals of metamaterials across electromagnetic, acoustic, mechanical, and thermal domains, alongside the principles of smart structures that enable self-monitoring and reconfiguration, the paper illuminates how AI techniques such as machine learning, deep learning, generative algorithms, and reinforcement learning transform design processes through inverse engineering, data-driven discovery, and multi-objective optimization, drastically reducing computational burdens and accelerating the creation of bespoke architectures for applications in aerospace morphing wings, seismic-resistant infrastructure, biomedical implants, and energy-harvesting devices. By integrating AI with structural health monitoring, adaptive control systems, and Internet of Things frameworks, smart structures evolve into intelligent entities capable of real-time diagnostics, predictive maintenance, and autonomous adaptation, as evidenced in case studies of vibration-damping skyscrapers and self-healing materials. Yet, acknowledging persistent hurdles like scalability constraints, manufacturing precision, and interdisciplinary silos, the discussion ventures into emerging trends including multi-scale modeling, sustainable hybrid designs, and explainable AI, while pinpointing research gaps in data standardization and model interpretability that beckon innovative pursuits. Ultimately, this synthesis not only underscores AI's pivotal role in unlocking metamaterials' and smart structures' untapped potential for transformative engineering solutions but also calls for collaborative advancements to forge a future of sustainable, resilient technologies that redefine human ingenuity in tackling global challenges.
Abass Olalekan Ogunniran, Oluwafemi Odunayo Olusesan, Joseph Tosin Salako, Anietie Ime Edet, Elizabeth Olawumi Oyelami, Oluwatoyin Olawale Akadiri and Azeez Arisekola Jimoh. Metamaterials and smart structures: Leveraging AI for design, optimization and adaptive engineering solutions. Global Journal of Engineering and Technology Advances, 2025, 24(3), 115-139. Article DOI: https://doi.org/10.30574/gjeta.2025.24.3.0260
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