Journal article

Probabilistic evaluation of unknown foundations for scour susceptible bridges

Z Medina-Cetina, N Yousefpour, JL Briaud

Journal of Bridge Engineering | American Society of Civil Engineers | Published : 2020

Abstract

By 2005, approximately 60,000 bridges throughout the US were identified as having unknown foundations. The Federal Highway Administration (FHWA) required Departments of Transportation (DOTs) across the US to evaluate the safety of these bridges, in particular against scour failure, and reclassify them in the National Bridge Inventory (NBI). A probabilistic methodology is developed in this study to predict the type, embedment depth, and dimensions of unknown bridge foundations and to rigorously quantify the uncertainty of the predictions. This methodology uses artificial neural networks (ANNs) to predict the expected values of bearing capacity (BC) using available information on bridge loadin..

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University of Melbourne Researchers

Grants

Funding Acknowledgements

This project was sponsored by the TxDOT. The authors thank John Delphia for all his technical support throughout the development of the project. The authors are especially indebted to Keyvon Jahedkar (RIP) and Anthony Garcia from the TxDOT Bryan District, for their assistance in collecting bridge information. The valuable help of Mark McClelland on load calculations and Brittany Hanley on populating and processing the database are also greatly appreciated.