Non-Destructive Testing and Evaluation of Hybrid and Advanced Structures: A Comprehensive Review of Methods, Applications, and Emerging Trends
Неразрушающий контроль и оценка гибридных и передовых конструкций: комплексный обзор методов, применений и перспективных направлений
2025-05-13
SCID: 54.1/7xbsdnj3
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NDE 4.0hybrid structuresmultimodal sensingnon-destructive evaluationnon-destructive testing
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Abstract (AI)
Non-destructive testing (NDT) and non-destructive evaluation (NDE) are essential tools for ensuring the structural integrity, safety, and reliability of critical systems across aerospace, civil infrastructure, energy, and advanced manufacturing sectors. As engineered materials evolve into increasingly complex architectures such as fiber-reinforced polymers, fiber-metal laminates, sandwich composites, and functionally graded materials, traditional NDT techniques face growing limitations in sensitivity, adaptability, and diagnostic reliability. This comprehensive review presents a multi-dimensional classification of NDT/NDE methods, structured by physical principles, functional objectives, and application domains. Special attention is given to hybrid and multi-material systems, which exhibit anisotropic behavior, interfacial complexity, and heterogeneous defect mechanisms that challenge conventional inspection. Alongside established techniques like ultrasonic testing, radiography, infrared thermography, and acoustic emission, the review explores emerging modalities such as capacitive sensing, electromechanical impedance, and AI-enhanced platforms that are driving the future of intelligent diagnostics. By synthesizing insights from recent literature, the paper evaluates comparative performance metrics (e.g., sensitivity, resolution, adaptability), highlights integration strategies for embedded monitoring and multimodal sensing systems, and addresses challenges related to environmental sensitivity, data interpretation, and standardization. The transformative role of NDE 4.0 in enabling automated, real-time, and predictive structural assessment is also discussed. This review serves as a valuable reference for researchers and practitioners developing next-generation NDT/NDE solutions for hybrid and high-performance structures.
Key Findings
1
Emerging modalities, including capacitive sensing, electromechanical impedance, and AI-enhanced platforms, are advancing intelligent diagnostics for advanced structures.
2
Hybrid and multi-material structures present anisotropy, interfacial complexity, and heterogeneous defect mechanisms that challenge conventional inspection methods.
3
NDE 4.0 supports automated, real-time, and predictive structural assessment, while environmental sensitivity, data interpretation, and standardization remain major challenges.
4
The review classifies NDT/NDE methods by physical principles, functional objectives, and application domains, enabling multidimensional comparison across structural applications.
5
Traditional NDT techniques face limitations in sensitivity, adaptability, and diagnostic reliability for increasingly complex engineered materials.
Research Object
Hybrid and advanced engineered structures, including fiber-reinforced polymers, fiber-metal laminates, sandwich composites, and functionally graded materials
Research Subject
Non-destructive testing and evaluation methods, their comparative diagnostic performance, integration into embedded and multimodal monitoring systems, and emerging capabilities for automated, real-time, and predictive structural assessment
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2025-05-13
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