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.
