Type

Conference Proceedings

Authors

Eugene J. O'Brien
Christopher J. Waldron
Nasim Uddin
Hua Zhao

Subjects

Environment

Topics
live load factors bridge rating weight in motion bridge wim site specific bridge weigh in motion data collection lrfr

Use of weigh-in-motion (WIM) data for site-specific LRFR bridge rating (2012)

Abstract In this paper, truck weigh-in-motion (WIM) data are used to develop live load factors for use on Alabama state-owned bridges. The factors are calibrated using the same statistical methods that were used in the original development of AASHTO’s Load and Resistance Factor Rating (LRFR) Manual. This paper describes the jurisdictional and enforcement characteristics in the state, the WIM data filtering, sorting, and quality control, as well as the calibration process. Large WIM data sets from five sites were used in the calibration and included different truck volumes, seasonal and directional variations, and WIM data collection windows. Certain MATLAB programs were developed in the live load factor calibration process. The resulting state-specific live load factors are smaller than those of LRFR manual and are recommended to the Alabama Department of Transportation (ALDOT) in rating their bridges more efficiently
Collections Ireland -> University College Dublin -> Civil Engineering Research Collection
Ireland -> University College Dublin -> College of Engineering & Architecture
Ireland -> University College Dublin -> School of Civil Engineering

Full list of authors on original publication

Eugene J. O'Brien, Christopher J. Waldron, Nasim Uddin, Hua Zhao

Experts in our system

1
Eugene J. O'Brien
University College Dublin
Total Publications: 192