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contributor authorDavid H. Timm
contributor authorS. Michelle Tisdale
contributor authorRod E. Turochy
date accessioned2017-05-08T21:04:35Z
date available2017-05-08T21:04:35Z
date copyrightFebruary 2005
date issued2005
identifier other%28asce%290733-947x%282005%29131%3A2%2883%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/37722
description abstractTraffic comprises a primary input to any pavement design methodology. As pavement design evolves from traditional empirically based methods toward mechanistic-empirical (M-E), there will be a greater emphasis placed on accurate characterization of the distributions of axle loads, because they are entered directly into pavement response models. Known as load spectra, these distributions of axle weight are often complex and not well represented by individual theoretical statistical distributions. This research proposes a mixed distribution model of two or more theoretical distributions to accurately characterize axle load spectra. This paper details the model development and demonstrates its predictive capability using weigh-in-motion data from 13 sites in Alabama. The data show the predictive capability of the mixed distribution model through high
publisherAmerican Society of Civil Engineers
titleAxle Load Spectra Characterization by Mixed Distribution Modeling
typeJournal Paper
journal volume131
journal issue2
journal titleJournal of Transportation Engineering, Part A: Systems
identifier doi10.1061/(ASCE)0733-947X(2005)131:2(83)
treeJournal of Transportation Engineering, Part A: Systems:;2005:;Volume ( 131 ):;issue: 002
contenttypeFulltext


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