Self-Powered Cyber Physical Systems

11ANN-Based Cracking Model for Flexible Pavement in the Urban Roads

Athiappan K.¹, Kandasamy A.², Karthik C.³* and Rajalakshmi M.⁴

¹ Department of Civil Engineering, Thiagarajar College of Engineering College, Madurai, Tamil Nadu, India

² Saveetha School of Engineering, SIMATS Deemed University, Chennai, Tamil Nadu, India

³ Department of Robotics and Automation, Jyothi Engineering College, Thrissur, Kerala, India

⁴ Department of Biomedical Engineering, Sethu Institute of Technology, Madurai, Tamil Nadu, India

Abstract

A novel technique is presented in this paper aimed at predicting the distress on pavement using a data-driven methodology. The main focus of this study is to manage the difficulties and ensure safe and comfortable roadway use. Diagnosing deterioration types and using proper maintenance techniques is critical, especially in the early phases. A model is developed for predicting the distresses using the ANN technique where the factors influencing the progression of cracking were drainage, modified structural number and equivalent standard axle load are considered. The model developed with ANN can be utilized for the optimum maintenance of urban roads, especially in metropolitan cities. The method is verified with extensive testing by performing it, and its analysis helps us to ensure its efficiency and adaptability.

Keywords: Flexible pavement, crack prediction, artificial neural network, ANNs, sensitive analysis, artificial intelligence

11.1 Introduction

To efficiently ...