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Zhang, Z., Manuel, L., Damnjanovic, I. and Li, Z. (2003) Development of a New Methodology for Characterizing Pavement Structural Condition for Network Level Applications. Center for Transportation Research, Bureau of Engineering Research, The University of Texas at Austin, Austin, No. FHWA/TX-04/0-4322-1, Vol. 7, No. 100, p. 100.
https://ctr.utexas.edu/wp-content/uploads/pubs/0_4322_1.pdf
has been cited by the following article:
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TITLE:
Improvement of the Algorithm for Computing Adjusted Structure Number for Determination of Backlog Maintenance
AUTHORS:
Ndume Vitalis, Mlavi Ephather
KEYWORDS:
Falling Weight Reflectometers, Pavement Condition Index, Structure Number, Adjusted Pavement Number, Deflection Basin Parameters, Pavement Modulus, Structural Number
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.10 No.2,
March
31,
2022
ABSTRACT: The pavement strength is very important for the evaluation of backlog maintenance. The current trend in many developing countries used pavement conditions index-PCI in estimating maintenance costs. The PCI can only justify periodic and routine recurrent maintenance. The condition strength is rarely determined in a flexible pavement creating an opportunity for back long maintenance. This paper reports the study conducted to develop and improve the algorithm for estimating the adjusted structure number to estimate the remaining thickness of the flexible pavement. The analysis of eight ways of computing structure numbers from FWD data ware analyzed and found that the improvement of the HDM 3-4 models can influence the usefulness of data collected from road asset management in Tanzania. The algorithm for estimating structural numbers from CBR was improved to compute adjusted structural numbers finally used to estimate the remaining life of the flexible pavement. The analysis of the network of about 6900km including ST and AM was found that 64.72% were very good, 12% were Good, 10% were fair and 7.84% were poor and 5.4% were very poor.