This study introduces a framework for incorporating pavement structural condition into the Louisiana Pavement Management System (PMS) decision matrix at the network level. However, recent development in continuous deflection devices has offered the potential to characterize pavement structural condition at the network level as well. Structural condition data are commonly collected at the project level using Falling Weight Deflectometer (FWD) measurements. The findings of this study indicate that using both IRI and PASER indices leads to accurate structural pavement evaluation. By comparing the results of ANN and regression models, the superiority of ANN performance over non-intelligent models is appreciable. The results show that our model provides a satisfactory correlation between IRI, PASER, and structural indices which are based on deflection measurements. To obtain the required data, project field surveys were conducted from 318 sections of the main roads of Kermanshah and Ilam provinces in Iran. With this in mind, we developed a relationship between deflection bowl parameters derived from Falling Weight Deflectometer (FWD) and two pavement performance indices, International Roughness Index (IRI) and Pavement Surface Evaluation and Rating index (PASER), by the use of Artificial Neural Network (ANN) and regression models. In this paper, a practical solution has been presented for pavement structural evaluation which is considered as a useful method for assessing pavement layers condition and identifying rehabilitation needs. Since factors such as cost and time required for testing limit the use of structural assessment devices, the development of cost-effective methods should be investigated. a b s t r a c t Evaluation of pavement condition, which determines pavement maintenance and rehabilitation necessities, is inevitable using structural or non-structural methods. The superiority of ANNs over regression models was investigated. Project field survey was conducted, using FWD, RSP and visual survey (PASER). Strong relation between structural parameters and pavement performance indices.
Decreasing the limitation of using costly structural assessment devices (FWD). H i g h l i g h t s The paper presents a practical method for assessing pavement layers condition.
0 kommentar(er)
