Pavement Management System Using Deflection Prediction Model of Flexible Pavements in Bangladesh

Abstract

This thesis work attempts to develop a viable model for predicting the deflection of flexible pavements based on experimental data of flexible pavements of various ages utilizing International Roughness Index (IRI) values. A better road network is required. However, it is currently unavailable in several areas of Bangladesh. Although there are some areas where traffic is heavier or sufficient, Bangladesh lacks a well-developed road network. The deflection, IRI, age, breadth, and AADT of the pavement all have a role in road maintenance. As a result, the purpose of deflection testing is to determine pavement qualities to determine what should be attempted as restoration work and how solid it should be, as well as what should be fixed with an acceptable plan. We built an IRI estimation model based on regression analysis using IBM SPSS v.26 software to address the challenges of pavement roughness measurement. To know what treatment is necessary for the deflection, we should know the value of IRI, width, age, and AADT of the Pavement. After analyzing this secondary data, we were able to come up with a result that will aid in the creation of a road design that is both safe and cost effect.