Abstract :

In the modern era of twenty first century, bridge wreckage has become a burning issue thereby focussing the attention on vulnerability of countless human lives and structural damage in the states of human infrastructure. This paper aims to envisage the probability of bridge collapse using an AI neural network using photo-elastic stress measurement data as inputs from photo-elastic sensors.