Estimating characteristic bridge traffic load effects using Bayesian statistics

Files in This Item:
File Description SizeFormat 
C170_ICASP_Paper_239_Leahy_-_final.pdf643.43 kBAdobe PDFDownload
Title: Estimating characteristic bridge traffic load effects using Bayesian statistics
Authors: Leahy, Cathal
O'Brien, Eugene J.
Enright, Bernard
Power, Richard T.
Permanent link: http://hdl.handle.net/10197/7043
Date: 15-Jul-2015
Abstract: This paper investigates the use of Bayesian updating to improve estimates of characteristic bridge traffic loading. Over recent years the use Weigh-In-Motion technologies has increased hugely. Large Weigh-In-Motion databases are now available for multiple sites on many road networks. The objective of this work is to use data gathered throughout a road network to improve site-specific estimates of bridge loading at a specific Weigh-In-Motion site on the network. Bayesian updating is a mathematical framework for combining prior knowledge with new sample data. The approach is applied here to bridge loading using a database of 81.6 million truck records, gathered at 19 sites in the US. The database represents the prior knowledge of loading throughout the road network and a new site on the network is simulated. The Bayesian approach is compared with a non-Bayesian approach, which uses only the site-specific data, and the results compared. It is found that the Bayesian approach significantly improves the accuracy of estimates of 75-year loading and, in particular, considerably reduces the standard deviation of the error. With the proposed approach less site-specific WIM data is required to obtain an accurate estimate of loading. This is particularly useful where there is concern over an existing bridge and accurate estimates of loading are required as a matter of urgency.
Type of material: Conference Publication
Keywords: Weigh-In-Motion data;Bayesian updating;Kernel density estimators (KDE)
Language: en
Status of Item: Peer reviewed
Conference Details: 12th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP12), Vancouver, Canada, 12 - 15 July, 2015
Appears in Collections:Civil Engineering Research Collection

Show full item record

Google ScholarTM

Check


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.