TitlePrediction Model of Deck Condition for Steel Bridges |
|||
AuthorsAssist. Prof. Dr. Sahar Hasan, Construction and Project Management Institute, Housing and Building National Research Center (Hbrc), EgyptAssoc. Prof. Dr. Emad Elwakil, Purdue University, United States of America |
|||
AbstractSteel bridges represent about 11% of California's bridges network, and according to ASCE (2018), there is about 9% of total bridges classified as deficient bridges and estimated to cost about $123 billion for rehabilitation. The deterioration rate of steel bridges is considerably higher than other different types of bridges, so deploying the prediction models is valuable to determine the condition rating objectively instead of subjectively that may vary from inspector to another. Deterioration modeling is one of the essential supporting tools of Bridge Management Systems (BMS) that provide decision-makers with accurate decisions. Therefore, this paper proceeds with a proactive approach based on mathematical, statistical analysis that leads to prolonging the bridges' service life, and minimize the maintenance cost substantially. The paper methodology has applied the Regression technique as an empirical approach, and modeling to help the highway agencies to make a more reliable decision for future maintenance based on predicted conditions. The developed Regression models have been built using the National Bridge Inventory (NBI) database for California State steel bridges. The developed models have been validated using Average Validity Percentage (85.6 %) and coefficient of determination (91.5 %). |
|||
Keywordssteel bridges, deck condition, deterioration models, regression technique, predictive models |
|||
CitationHasan, S. & Elwakil, E. (2020). Prediction Model of Deck Condition for Steel Bridges. In M. Shelley & I. Sahin (Eds.), Proceedings of IConEST 2020--International Conference on Engineering, Science and Technology (pp. 1-8). Monument, CO, USA: ISTES Organization. Retrieved 21 November 2024 from www.2020.iconest.net/proceedings/6/. |
|||
LinksDownload Fulltext |
The proceedings of our collaborative conference, Proceedings of International Conference on Social and Education Sciences (IConSES)-2019, is selected by Web of Science for coverage in the Conference Proceedings Citation Index (CPCI). The Proce...
May 15, 2020
The Studies on Engineering, Science and Technology 2020 (SonEST2020) is a peer-reviewed scholarly online book. The invited papers are reviewed by at least two international reviewers with expertise in the relevant subject area. The book is a refereed book and has a double-blind review. ...
March 14, 2020
Dear Participant, We will use the Adobe Connect Meeting platform for the virtual presentations. You will receive an email titled “Adobe Connect - Your Account Information” from Adobe for the Account URL link and password to participate in the vi...
November 06, 2019
The publications affiliated with ISTES Organization are indexed or listed by all or some of the following sources:
