Details:

Creators:
Rahim, Ashraf ; Fiegel, Gregg
Rahim, Ashraf ; Fiegel, Gregg Less -
Corporate Creators:
California Polytechnic State University, San Luis Obispo. College of Engineering. Department of Civil & Environmental Engineering
Corporate Contributors:
California. Dept. of Transportation. Division of Research and Innovation
Subject/TRT Terms:
[+]
Crack Crack And Seat Treatment Cracking Pavement Cracking Pavement Maintenance Pavement Performance PCC Pavement Performance Evaluation Rehabilitation Seat And Overlay
Publication/ Report Number:
CA11-1863A
Resource Type:
Tech Report
Geographical Coverage:
California
Edition:
Final; Apr. 2008-Nov. 2010.
Corporate Publisher:
California. Department of Transportation
Abstract:
During the past 20 years hundreds of highway miles in California have been rehabilitated employing CS&O technique with little performance data

available. This study was conducted to evaluate the performance of CS&O for sections built in different climatic regions in CA. The study also included

developing performance prediction models for CS&O sections. These models can be incorporated into Caltrans Pavement Management System (PMS) to

predict future performance, assist in LCCA and optimize the allocation of resources. The study was conducted in two phases. In phase I, CS&O sections

built throughout the U.S. were identified in the Long Term Pavement Performance (LTPP) database. Inventory and performance data were then extracted

and analyzed for these sections. Also, fourteen (14) CS&O sections in the Central Valley (CV) region of California were examined. Performance data for

these sections were obtained from the Caltrans Pavement Condition Report (PCR) and were analyzed along with inventory data obtained from as-built

sheets. In Phase II, seventeen (17) CS&O sections (eight (8) on the Central Coast and nine (9) in Northern California) were identified and examined.

Performance data were extracted from the Caltrans PCR. As-built and maintenance history data were obtained from the Caltrans District 05 (D05) and

District 02 (D02) offices. Data for these sections were combined with data from the Central Valley region (Phase I) to evaluate the performance of CS&O

sections throughout California. Also, performance models were developed for three different regions, namely Central Valley (CV), Central Coast (CC),

and Northern California (NCA).

The analysis results indicate that sections in CV reach an IRI threshold of 170 in/mile after about 10 years of service while sections in CC and NCA are

expected to serve for more than 10 years before reaching this threshold value. Differences in construction techniques and quality control are evident for the

three regions, as observed from the difference in initial IRI. Reflection cracking in the transverse and longitudinal directions is not a significant issue for

the CS&O sections examined as part of this study. Alligator cracking ‘A’ and ‘B’ were reported for a considerable number of California sections

investigated in this study. Also, alligator cracking ‘C’ was observed for a few number of sections in the CC, NCA and CC regions. Also, Alligator cracks

of low, medium and high severity were reported for CS&O sections in the LTPP database.

The developed models provide a basis for predicting distress in Caltrans CS&O pavements. Among the model forms attempted, the nonlinear form proved

to be the best fit, while still satisfying important boundary conditions. The ratio of asphalt overlay to concrete slab thickness proves to be a significant

variable affecting all types of cracking in CS&O pavements. The results of a sensitivity-study suggest that age is the most significant factor affecting the

deterioration of CS&O pavements. Annual traffic level, in terms of ESAL, and layer thickness ratio are secondary model variables influencing alligator

cracking and IRI. Layer thickness ratio is a secondary model variable affecting reflective cracking.


Format:
PDF
Funding:
65A0305
Collection(s):
US Transportation Collection
Main Document Checksum:
[+]
urn:sha256:2312307afd5f13b06b14d7c59f7833f349ca564280cd2b3f49ec0b78fbfa7f80
Download URL:
https://rosap.ntl.bts.gov/view/dot/25230/dot_25230_DS1.pdf
File Type:

Supporting Files

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