Introduction of Structural Health Monitoring
Engage in cutting-edge research in
structural health monitoring to develop innovative techniques and technologies for evaluating the condition and safety of structures.
Leverage state-of-the-art sensors, data analysis tools, and predictive modeling to monitor and assess the health of various types of infrastructure.
Collaborate with experts in civil engineering, materials science, and sensor technology to advance the field of SHM.
Apply your research to enhance the resilience and longevity of critical infrastructure, including bridges, buildings, and dams.
Share your research findings through publications, conferences, and partnerships to contribute to the continued growth and practical applications of SHM.
Fiber Optic Sensing in SHM : Explore the use of fiber optic sensors for real-time monitoring of structural parameters like strain, temperature, and deformation.
Machine Learning for Damage Detection:
Investigate the application of machine learning algorithms to analyze sensor data and detect early signs of structural damage, improving predictive maintenance.
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Resilience-Based Design and SHM :
Study how SHM can inform the design and retrofitting of structures to enhance their resilience to natural disasters, such as earthquakes and hurricanes.
Fiber Optic Sensing in SHM:
Study the application of
thermoelectric devices in recovering waste heat from industrial processes for sustainable energy generation.