Bridge Life Cycle Cost Assessment: from Model Development to Analysis

A bridge management system helps decision-makers to optimize the scope and timing of treatment actions and allocate funding efficiently across the inventory over the bridge life. The main objective of this study is to develop and validate element-level models, update cost models, and action effectiveness models that can be implemented in a bridge management system and to conduct a life cycle cost analysis. To this end, bridge condition data is first analyzed to develop element-level deterioration models (for 25 selected bridge elements) for highway bridges of a selected transportation agency and implemented in the bridge management system of the agency. The developed models provide a more accurate and precise prediction of bridges compared to the generic models the agency was using in their bridge management system. The results are imperative for planning a more efficient, robust maintenance strategy for effective asset management. To develop the deterioration models, the following steps were performed: i) dataset is cleaned, filtered and processed, ii) inspection pairs are generated, iii) appropriate statistical methods are used to estimate the best-fit models, iv) models are validated and verified. In addition to the development of deterioration models, the cost, treatment, and effectiveness models were updated in the bridge management system to reflect the agency-specific models. Eventually, all the developed and updated models are implemented in a holistic life cycle cost analysis at the network and bridge level. The outcome of the conducted analysis assists decision-makers in planning the maintenance strategies and optimizing budget allocation for the maintenance actions.


  • English

Media Info

  • Media Type: Web
  • Features: Figures; References; Tables;
  • Pagination: 16p

Subject/Index Terms

Filing Info

  • Accession Number: 01763584
  • Record Type: Publication
  • Report/Paper Numbers: TRBAM-21-00916
  • Files: TRIS, TRB, ATRI
  • Created Date: Dec 23 2020 11:06AM