Quantum Dot-Based Photonic Sensors for Next-Gen Civil Infrastructure Health Monitoring
Author(s):Ritu P. Yadav1, Mohit S. Rawat2,Neha R. Tomar3, Varun D. Saxena4
Affiliation: 1,2,3,4Department of Electronics and Telecommunication Engineering, Marri Laxman Reddy Institute of Technology and Management
Page No: 12-16
Volume issue & Publishing Year: Volume 2 Issue 2,Feb-2025
Journal: International Journal of Advanced Engineering Application (IJAEA)
ISSN NO: 3048-6807
DOI: https://doi.org/10.5281/zenodo.17671991
Abstract:
The rapid deterioration of civil infrastructure such as bridges, high-rise buildings, and dams necessitates advanced monitoring technologies capable of providing real-time insights into structural health. Traditional sensor networks often face limitations in sensitivity, miniaturization, and environmental stability. Quantum dot-based photonic sensors, with their nanoscale tunability, high quantum efficiency, and strong photoluminescence properties, offer a revolutionary pathway for next-generation civil infrastructure monitoring systems. This paper explores the integration of quantum dot sensors into civil engineering applications, emphasizing their ability to detect micro-strain, stress variations, crack initiation, and environmental changes before catastrophic failures occur. By leveraging their tunable emission spectra and high sensitivity to external stimuli, quantum dot-based photonic devices enable the development of distributed sensor networks with unprecedented precision. Additionally, the unique compatibility of quantum dots with optical fibers and wireless sensor systems allows for scalable deployment across large-scale infrastructures. The discussion highlights fabrication techniques, sensor embedding strategies, and hybrid integration with conventional monitoring methods to enhance reliability. The proposed approach not only strengthens safety and resilience but also reduces long-term maintenance costs and enhances sustainability in urban development.
Keywords: Quantum Dots, Photonic Sensors, Structural Health Monitoring, Civil Infrastructure, Nanophotonics, Optical Fiber Sensors, Smart Materials
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