NTL Record

Title Statistical analysis of heavy truck loads using Wisconsin weigh-in-motion data
Record ID 31413
Personal Name
Creator
Tabatabai, H.; Zhao, J.; Lee, Chin-Wei
Source 199p. in various pagings
Corporate Creator University of Wisconsin--Milwaukee. Dept. of Civil Engineering and Mechanics; United States. Department of Transportation. Research and Innovative Technology Administration; Wisconsin. Dept. of Transportation. Social Media Peer Exchange Planning Team
Publisher National Center for Freight and Infrastructure Research and Education (U.S.)
Publication Date 20090900
Language English
Abstract 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.
Rosap ID dot:5676
Rosap URL https://rosap.ntl.bts.gov/view/dot/5676
TRT Terms Weigh in motion; Statistical analysis; Loads; Load tests; Trucks
General Subjects Weigh-in-motion; Truck loads; Statistical analysis; Copulas; WIM; Bridge loads; Monte Carlo simulations
Classification NTL - FREIGHT - Trucking Industry;
NTL - FREIGHT - FREIGHT;
NTL - REFERENCES AND DIRECTORIES - Statistics
Geographical
Coverage
Wisconsin
OCLC 497869454
TRIS Online
Accession No
1146325
Contract Number DTRT06-G-0020
Report Number CFIRE 01-02; CFDA 20.701
Resource type Research Paper
URL https://ntlrepository.blob.core.windows.net/lib/31000/31400/31413/01-02_FR.pdf
Format PDF
Database NTL Digital Repository