Improvements To The Structural Condition Index (Sci) For Pavement Structural Evaluation At Network Level
Keywords
falling weight deflectometer; structural condition index; structural number; subgrade modulus; subgrade resilient modulus
Abstract
Structural evaluation provides valuable information about the expected behaviour and response of pavements and can be used at the network level of pavement management to prioritise projects. The falling weight deflectometer (FWD) can be used to identify the beginning and end of management sections and group pavement sections with similar structural capacities. The structural condition index (SCI) was developed as a screening tool for the pavement network-level evaluation, and the FWD data are used to determine the SCI. For the successful implementation of the SCI concept at the network level, one of the critical issues is the accuracy of the index. This article evaluates the accuracy of the SCI and also discusses a concept and procedure how to improve the SCI and its algorithm for low-volume flexible pavements. A case study (Texas) illustrates that the original SCI algorithm underestimates the existing structural condition, resulting in overestimated treatments in the pavement maintenance and rehabilitation.
Publication Date
9-13-2016
Publication Title
International Journal of Pavement Engineering
Volume
17
Issue
8
Number of Pages
680-697
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/10298436.2015.1014369
Copyright Status
Unknown
Socpus ID
84923638912 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84923638912
STARS Citation
Nam, Boo Hyun; An, Jinwoo; Kim, Mooyeon; Murphy, Michael R.; and Zhang, Zhanmin, "Improvements To The Structural Condition Index (Sci) For Pavement Structural Evaluation At Network Level" (2016). Scopus Export 2015-2019. 3505.
https://stars.library.ucf.edu/scopus2015/3505