Engineering Commons^™

Non-Linear Inverse Analysis Of Transportation Structures Using Neuro-Adaptive Networks With Hybrid Learning Algorithm, Kasthurirangan Gopalakrishnan, Siddhartha K. Khaitan, Halil Ceylan

Siddhartha Khaitan

The load-bearing capacity of pavement structures is a fundamental structural performance metric of transportation infrastructure networks in the context of safe and efficient movement of people and goods from one place to another. Non-destructive test (NDT) methods are typically employed to routinely evaluate the structural condition of pavement structures, their lifespan and the appropriate maintenance activities to be carried out. This involves computing the Young’s modulus of each layer of the pavement structure through inverse analysis of acquired NDT data. Over the past two decades, soft computing techniques such as Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), and Fuzzy Logic …