Advanced Non-Destructive Testing for Structural Health Monitoring of Structures

About this Research Topic

Submission deadlines

  1. Manuscript Summary Submission Deadline 1 July 2025 | Manuscript Submission Deadline 19 October 2025

  2. This Research Topic is still accepting articles.

Background

Structural safety is critical to preventing failures that can lead to catastrophic consequences, including economic losses and threats to human life. Non-Destructive Testing has long been a major tool for assessing structural integrity. With the growing demand for safer and more resilient infrastructure, advancements in NDT are revolutionizing Structural Health Monitoring. Advanced NDT techniques leverage cutting-edge sensor technology, advanced signal processing, and data-driven approaches to enhance the structural safety. The integration of artificial intelligence further expands NDT’s capabilities, enabling real-time monitoring and predictive maintenance. Despite these advancements, challenges remain in optimizing NDT for complex structures, improving accuracy in harsh environments, and ensuring cost-effective deployment. Bridging the gap between traditional methods and next-generation monitoring systems is essential for improving reliability and extending the lifespan of critical infrastructure. This special issue aims to highlight the latest developments in NDT for SHM, encouraging contributions that push the boundaries of experimental, numerical, and field-based studies in this evolving field.



This special issue aims to advance the state of Non-Destructive Testing in Structural Health Monitoring by showcasing innovative techniques, methodologies, and applications that enhance structural assessment and failure prevention. The primary goal is to explore emerging NDT technologies that improve defect detection, characterization, and localization in various structural systems. Another key objective is to bridge the gap between experimental, numerical, and field-based studies to provide a comprehensive understanding of NDT’s capabilities and limitations in real-world applications. Additionally, this issue seeks to highlight automation, digital twins, and energy-efficient solutions that contribute to the evolution of intelligent and cost-effective SHM systems. By bringing together cutting-edge research, this special issue aims to foster collaboration among researchers, industry professionals, and policymakers to develop more reliable and sustainable NDT-driven SHM strategies for critical infrastructure.



This special issue welcomes high-quality original research, review articles, and case studies focusing on advancements in Non-Destructive Testing for Structural Health Monitoring. Themes include novel NDT techniques, sensor technology, signal processing, artificial intelligence, computational modeling, and analytical methods for defect identification and structural assessment. Papers integrating automation, digital twins, multi-modal data fusion, and real-world field applications are also encouraged. Both experimental and numerical studies, as well as practical implementations, are of interest. Submissions from various engineering fields, including civil, mechanical, electrical, aerospace, petroleum, and marine engineering, are invited, highlighting NDT’s role in ensuring infrastructure safety and resilience.

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  • Original Research
  • Perspective
  • Review

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Keywords: Structural Health Monitoring NDT Safety Structure Damage AI Smart Systems Smart Structures Smart Cities

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