Implementation of intelligent compaction technologies for road constructions in Wyoming.

Savan, Christopher M.; Ng, Kam Weng; Ksaibati, Khaled

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Implementation of intelligent compaction technologies for road constructions in Wyoming.

2015-03-01
By Savan, Christopher M. ; Ng, Kam Weng ; Ksaibati, Khaled

File Language:

English

Details

Creators:

Savan, Christopher M. ; Ng, Kam Weng ; Ksaibati, Khaled
Corporate Creators:

University of Wyoming. Department of Civil and Architectural Engineering
Corporate Contributors:

United States. Department of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:
Publication/ Report Number:

MPC 15-281
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Mountain-Plains Consortium
Abstract:

Conventional test methods for roadway compaction cover less than 1% of roadway; whereas, intelligent ; compaction (IC) offers a method to measure 100% of a roadway. IC offers the ability to increase ; compaction uniformity of soils and asphalt pavements, which leads to decreased maintenance costs and ; an extended service life. This report examines IC technology, how IC quality control and assurance ; specifications can encourage IC adoption, knowledge and use of IC through survey responses, and ; benefits and costs of IC. The surveys reveal that a majority of respondents from state departments of ; transportation have conducted IC demonstration projects, but questions about cost and willingness of ; policymakers to adopt IC remain a barrier to implementation. The benefit-cost analysis demonstrates that ; use of IC reduces compaction costs by as much as 54% and results in a $15,385 annual savings per lane ; mile throughout the roadway’s life.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/28705/dot_28705_DS1.pdf
File Type:

[PDF - 1.58 MB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:da7c2a44d7b9c20bb75f4622970d5fc54b34894a429650418a1f0885b41174dde0fb6e4300dd48b823aaff39d76eaac2b82fba964d4d51511099532cd5747d21

File Language:

English

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