Evaluation of the applicability of pier local scour formulae using laboratory and field data

• Published in: Marine georesources & geotechnology Vol. 35; no. 1; pp. 1 - 7
• Main Authors: Park, Chang-Wook, Park, Hyun Il, Cho, Yang-Ki
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 02.01.2017; Taylor & Francis Ltd
• Subjects: Artificial neural network; Bridges; Civil engineering; Datasets; local scour; Neural networks; pier; Piers; scour depth
• ISSN: 1064-119X; 1521-0618
• DOI: 10.1080/1064119X.2014.954658

The reliable estimation of the local scour depth at a bridge pier is essential for proper design and maintenance of bridge piers. Most local scour formulae have been developed based on the results of laboratory experiments. The formulae based on laboratory data do not often produce reasonable predictions for field piers because laboratory investigations are apt to oversimplify or ignore many of the complexities of the flow fields around the bridge piers. Validation of the formulae is necessary in order to ascertain which of the formulae are able to provide reasonable estimates of the local scour depth. In this study, six commonly cited formulae based on laboratory data or field data were selected for validation using 180 laboratory data sets gathered from the literature and 446 field data sets collected from four countries. The six formulae validated in this paper are the Colorado State University (CSU), Neill, Froehlich, Breuser, Laursen, and simplified Chinese formulae. Comparisons between the predicted and measured depths were performed using scour from the laboratory and field data. An artificial neural network technique was also applied in order to compare the tendencies between the field and laboratory data sets.