Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation

Year : 2026 | Volume : 13 | Issue : 01 | Page : 34 39
    By

    Suman Pandey,

  • Madhurima Dolai,

  • Swapnanil De,

  1. Associate Professor,, Department of Civil Engineering, Techno India University, west bengal, india
  2. student, Department of Civil Engineering, Techno India University, West Bengal, India
  3. student, Department of Civil Engineering, Techno India University, West Bengal, India

Abstract

Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, and even judicial systems. Nowadays, the application of AI in the segment of engineering and materials science is also growing fast. Under this sector, AI can be implemented to replace trial-and-error lab work by predicting future models for the computational material discovery subsegment. In another subcategory of this segment, namely structural health and digital twins, AI can be applied for computer vision inspections for identifying cracks, corrosion, spalling, etc. Also, deep learning models can be implemented to analyze real-time data and to predict microscopic cracks, which is a next-to-impossible task for any human being. In this study, we explore the utilization of AI in various fields of civil engineering with a focus on the field of structural health monitoring. In this article, care has been taken to thoroughly investigate all the research done in the structural health monitoring (SHM) sector with the application of AI and its implications. Main emphasis has been given to the detection of different types of damage in a structural body using AI. Further, the research investigation has been narrowed down to the identification of cracks using this latest technology. Concrete conclusions have been drawn in the last segment, which highlights today’s challenges and their limitations.

Keywords: Algorithm, artificial intelligence, crack detection, deep learning, machine learning, structural health monitoring.

[This article belongs to Journal of Structural Engineering and Management ]

How to cite this article:
Suman Pandey, Madhurima Dolai, Swapnanil De. Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation. Journal of Structural Engineering and Management. 2026; 13(01):34-39.
How to cite this URL:
Suman Pandey, Madhurima Dolai, Swapnanil De. Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation. Journal of Structural Engineering and Management. 2026; 13(01):34-39. Available from: https://journals.stmjournals.com/josem/article=2026/view=239115


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Regular Issue Subscription Original Research
Volume 13
Issue 01
Received 06/12/2025
Accepted 28/01/2026
Published 30/01/2026
Publication Time 55 Days
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