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原文传递 Statistical Analysis of Heavy Truck Loads Using Wisconsin Weigh-in-Motion Data.

题名：	Statistical Analysis of Heavy Truck Loads Using Wisconsin Weigh-in-Motion Data.
作者：	H. Tabatabai; Z. Jian; L. Chin-Wei;
关键词：	vehicle weight,truck loads,statistical analysis,weigh-in-motion(wim);copulas, bridge loads, monte carlo simulation, trucks, data analysis, data collection;
摘要：	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. / NOTE: Final rept. / Supplementary Notes: Sponsored by Wisconsin Univ.-Madison. Center for Freight & Infrastructure Research & Education. and Department of Transportation, Washington, DC. Research & Innovative Technology Administration (RITA). / Availability Note: Order this product from NTIS by: phone at 1-800-553-NTIS (U.S. customers); (703)605-6000 (other countries); fax at (703)605-6900; and email at orders@ntis.gov. NTIS is located at 5301 Shawnee Road, Alexandria, VA, 22312, USA.
报告类型：	科技报告