Statistical analysis of heavy truck loads using Wisconsin weigh-in-motion data
File(s)
Date
2009-09Author
Zhao, Jian
Tabatabai, Habib
Lee, Chin-Wei
Publisher
National Center for Freight and Infrastructure Research and Education
Metadata
Show full item recordAbstract
This study involved statistical evaluation of heavy truck loads that were recorded in 2007 using Weigh-In-Motion stations located throughout the State of Wisconsin. The heaviest 5% of all trucks in each class and axle groupings were selected for further analyses. Best fit unimodal and multimodal distributions for all axle loads and spacings in each truck class were determined. Multivariate Monte Carlo simulations using the marginal distributions and empirical copulas were performed to assess maximum moments and shears in simply supported bridges. Moments and shears due to the 250-kip Wisconsin Permit Vehicle were compared with simulation results. The multivariate Monte Carlo simulations of truck loadings can be used to assess the reliability of bridges and pavements as well as detailed fatigue analyses
Subject
Bridges
Weigh in motion
Statistical analysis
Axle loads
Wisconsin
Monte Carlo method
Permanent Link
http://digital.library.wisc.edu/1793/55587Description
199 p.