Quantitative Framework for Planning Highway Bridge Inspection and Assessment

Abstract

The overall objective of this study is to advance highway bridge inspection procedures from current subjective methods to a more quantitative, objective framework for assessment and inspection within a management program. Through the integration of quantitative models, data, and inspection techniques, these advancements help to improve both the understanding and predictive capability associated with long-term bridge performance. A methodology for selection of a sample of bridges for study is developed based on latent class cluster analysis and considers both physical and environmental parameters. Current assessment procedures are augmented to include quantitative data and major forms of deterioration are identified along with available practical physically-based models for their estimation. Finally, inspection planning maps are developed to provide guidance on the implementation and management of an in-depth inspection program.