SPR-4526: Predictive Analytics for Quantifying the Long-Term Cost of Defects During Bridge Construction

Project Details
STATE

IN

SOURCE

TRID

START DATE

12/01/20

END DATE

11/30/22

RESEARCHERS

Shirley Dyke, Julio Ramirez

SPONSORS

Purdue University/Indiana Department of Transportation JHRP

KEYWORDS

Asset management, Bridge construction, Bridge decks, Concrete bridges, cost estimating, Costs, Defects, Inspection, Life cycle costing, Mathematical prediction

Project description

Inspecting bridges during construction and in service, and ensuring quality construction prior to acceptance and proper maintenance, are critical to the life-cycle performance of the structure. The goal of this project is to develop predictive analytics that would allow a more effective asset management. This approach will be demonstrated using concrete bridge decks as an illustrative example. The project will provide the knowledge and tools needed to estimate the costs associated with the consequences of defects occurring during construction (i.e., substandard quality), and weigh those against cost and expected performance of additional measures that can be taken to reduce such defects (e.g., improved inspection procedures).
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