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Title:

Structural Number Prediction for Flexible Pavements Based on Falling Weight Deflectometer Data

Accession Number:

01657851

Record Type:

Component

Abstract:

Evaluation of the pavement structural capacity is a primary concern to pavement management engineers and decision makers. It plays a key role in Pavement Management Information Systems (PMIS) in order to produce reliable and effective maintenance decisions. Structural Number (SN) is a numerical value used as an indicator of pavement strength and structural capacity. This paper reviews the most recognized models; namely COST, Schnoor et al., Rohde, and Kim et al. models to predict the Structural Number (SN). These models predict SN based mainly on the Falling Weight Deflectometer (FWD) data. One major issue with these models, is that they disregarded the effect of temperature on the backcaluclated modulus of the Asphalt concrete (AC) layer and hence the predicted SN values. The accuracy of the investigated SN prediction models after applying temperature correction to the AC layer modulus (EAC) and the FWD peak deflection (Do) to a reference temperature of 21 oC was examined. For this purpose, FWD data and backcalculated moduli of pavement layers were retrospectively collected from the Long Term Pavement Performance (LTPP) database. Fourteen pavement test sections covering the different climatic regions in the USA with 461 FWD test points were used to evaluate and improve the accuracy of these models as compared to the AASHTO 1993 approach. The most prominent models were calibrated and/or simplified. The proposed calibrated /simplified models produced more accurate and lower biased SN predictions as compared to the original literature models.

Supplemental Notes:

This paper was sponsored by TRB committee AFD80 Standing Committee on Pavement Structural Modeling and Evaluation.

Report/Paper Numbers:

18-00878

Language:

English

Authors:

Abd El-Raof, Hossam S
Abd El-Hakim, Ragaa T
El-Badawy, Sherif M
Afify, Hafez

Pagination:

19p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Highways; Maintenance and Preservation; Pavements

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-00878

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 10:13AM