Statistical analysis of heavy truck loads using Wisconsin weigh-in-motion data

Tabatabai, H.; Zhao, J.; Lee, Chin-Wei; 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

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Statistical analysis of heavy truck loads using Wisconsin weigh-in-motion data

2009-09-01
By Tabatabai, H. ; Zhao, J. ; Lee, Chin-Wei

[PDF-4.52 MB]

English

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Details:

Creators:

Tabatabai, H. ; Zhao, J. ; Lee, Chin-Wei

Tabatabai, H. ; Zhao, J. ; Lee, Chin-Wei Less -
Corporate Creators:

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

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 Less -
Subject/TRT Terms:

[+]

Bridge Loads Copulas Loads Load Tests Monte Carlo Simulations Statistical Analysis Truck Loads Trucks Weigh-in-motion Weigh In Motion WIM
Publication/ Report Number:

CFIRE 01-02 ; CFDA 20.701

CFIRE 01-02 ; CFDA 20.701 Less -
Resource Type:

Research Paper
Geographical Coverage:

Wisconsin
Edition:

Final Report [06/01/08 ¿06/30/09]
Corporate Publisher:

National Center for Freight and Infrastructure Research and Education (U.S.)
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.
Format:

PDF
Funding:

DTRT06-G-0020
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:190a715a94a8439cfbacee0309a82a620a8e7f0c6f9576a0e423c03017e840a8
Download URL:

https://rosap.ntl.bts.gov/view/dot/5676/dot_5676_DS1.pdf
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Statistical analysis of heavy truck loads using Wisconsin weigh-in-motion data

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