Lieutenant Colonel Vaibhav Srivastava, Prof DI Narkhede
Abstract:
The global demand for sustainable, reliable, and resilient infrastructure has significantly increased in the face of aging bridge networks, rapid urbanization, and climate-induced stresses. Traditional inspection-based approaches to bridge maintenance, heavily reliant on manual visual checks, have proven inadequate in their ability to detect early-stage deterioration, assess real-time conditions, and forecast future failures.
Reference this Research Paper (copy & paste below code):
Lieutenant Colonel Vaibhav Srivastava, Prof DI Narkhede
(2025); Artificial Intelligence Based Structural Health Monitoring Of Bridges; International Journal of Scientific and Research Publications (IJSRP)
15(5) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.15.05.2025.p16137