Predictive Analytics for Quantifying the Long-Term Costs of Defects During Bridge Construction

Authors

Nichole Marie Criner, Purdue UniversityFollow
Manuel Salmeron, Purdue UniversityFollow
Xin Zhang, Purdue UniversityFollow
Shirley J. Dyke, Purdue UniversityFollow
Julio A. Ramirez, Purdue UniversityFollow
Benjamin Eric Wogen, Purdue UniversityFollow

Recommended Citation

Criner, N. M., Salmeron, M., Zhang, X., Dyke, S. J., Ramirez, J. A., & Wogen, B. E. (2023). Predictive analytics for quantifying the long-term costs of defects during bridge construction (Joint Transportation Research Program Publication No. FHWA/IN/JTRP-2023/08). West Lafayette, IN: Purdue University. https://doi.org/10.5703/1288284317615

DOI

10.5703/1288284317615

Abstract

During the lifecycle of a bridge, deterioration of the concrete deck originates from many sources, e.g., corrosion due to water infiltration in conjunction with chlorides from the use of de-icing salts. Such deterioration may be affected by any one of the following six actions relevant to a bridge from conception to demolition: design, construction, in-service conditions, maintenance, repair and rehabilitation, and replacement. Many researchers have studied the relationships between these sources and their consequences. However, the relationship between construction defects and inspection practices, and its impact on the deterioration process has not yet been identified. This project focuses on the development of predictive models to assess the impact that defects present during concrete bridge deck construction may have on the lifecycle performance of the bridge deck in terms of the chemical and environmental deterioration relevant to Indiana. Based on the relevant cost information from the Indiana Department of Transportation (INDOT), a methodology is developed here to determine the potential costs associated with this deterioration. Recommendations relevant to construction and inspection and data collection practices are discussed to improve future bridge construction and inspection practices. The models and methods developed in this work will enable INDOT to better predict the accelerated deterioration of a concrete deck when a construction defect has been identified and the associated additional cost.

Report Number

FHWA/IN/JTRP-2023/08

Keywords

bridge deterioration, physics-based model, data-driven model, lifecycle cost analysis, construction defects

SPR Number

4526

Performing Organization

Joint Transportation Research Program

Sponsoring Organization

Indiana Department of Transportation

Publisher Place

West Lafayette, IN

Date of this Version

2023