A Constructability Lessons Learned System for Infrastructure Rehabilitation Using Digital Image Processing

The quality of America’s infrastructure today is barely adequate to fulfill current requirements and is insufficient to meet the demands of future economic growth and development. As a result, there is a renewed effort to improve the performance and efficiency of existing facilities through rehabilitation. At the same time, dur to the complex nature of many infrastructure rehabilitation projects, there is a strong need for design/construction integration, and more specifically, the application of strong constructability programs. A key element for the success of these programs is the implementation of a system for the acquisition, storage and retrieval of constructability lesson learned from all members of a complete project team. This paper will describe a conceptual framework and prototype for a digital image processing-based system for constructability lessons learned for infrastructure rehabilitation.