Transportation Learning Network

Virtual Learning

MPC Research: Implementation of Intelligent Compaction Technologies for Road Construction in WY

  • Oct 28, 2016
    Virtual Learning (desktop/laptop and mobile devices)

The above opportunity and more can be accessed by visiting the TLN Learning Management System (LMS).

Description

Conventional test methods for roadway compaction cover less than 1% of a 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 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.

Implementation of Intelligent Compaction Technologies research goals:

  • Improve Pavement Safety
  • Decrease Road Maintenance and Construction Costs
  • Decrease Road Construction Duration

Join Dr. Kam Ng, lead investigator, as he shares findings that reveal the benefits of adoption and implementation of roller-integrated compaction technologies.

Speaker(s)

Dr. Kam Weng Ng is an Assistant Professor at the University of Wyoming, College of Engineering and Applied Sciences. Ng received his Ph.D. in civil engineering from Iowa State University. His background includes field engineer, consultant, contractor, researcher and instructor. Ng’s research background covers a broad spectrum of foundation engineering and material interaction areas. His most notable research awards are from the Deep Foundation Institute and the Transportation Research Board.

Target Audience

Contractors, construction field personnel and designers