contributor author | David H. Timm | |
contributor author | S. Michelle Tisdale | |
contributor author | Rod E. Turochy | |
date accessioned | 2017-05-08T21:04:35Z | |
date available | 2017-05-08T21:04:35Z | |
date copyright | February 2005 | |
date issued | 2005 | |
identifier other | %28asce%290733-947x%282005%29131%3A2%2883%29.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/37722 | |
description abstract | Traffic 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 | |
publisher | American Society of Civil Engineers | |
title | Axle Load Spectra Characterization by Mixed Distribution Modeling | |
type | Journal Paper | |
journal volume | 131 | |
journal issue | 2 | |
journal title | Journal of Transportation Engineering, Part A: Systems | |
identifier doi | 10.1061/(ASCE)0733-947X(2005)131:2(83) | |
tree | Journal of Transportation Engineering, Part A: Systems:;2005:;Volume ( 131 ):;issue: 002 | |
contenttype | Fulltext | |