Quantum Dot-Based Photonic Sensors for Next-Gen Civil Infrastructure Health Monitoring

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-12
DOI
https://doi.org/10.5281/zenodo.17671991
Primary Topic
Advanced Fiber Optic Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantum Dot-Based Photonic Sensors for Next-Gen Civil Infrastructure Health Monitoring

Zenodo (CERN European Organization for Nuclear Research)
Advanced Fiber Optic Sensors
article

Quantum Dot-Based Photonic Sensors for Next-Gen Civil Infrastructure Health Monitoring

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Advanced Fiber Optic Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.