Title of article :
Bridge live load models from WIM data
Author/Authors :
Miao، نويسنده , , T.J. and Chan، نويسنده , , T.H.T.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2002
Pages :
14
From page :
1071
To page :
1084
Abstract :
This paper describes the development of a new methodology for deriving highway bridge live load models for short span bridges. The development is based on a ‘repeatable’ methodology to obtain extreme daily moments and shears using 10 years Hong Kong weigh-in-motion (WIM) data as compared to the traditional normal probability paper approach. The methodology can also be applied to the development of bridge live loading models in other parts of the world. Two types of loading are proposed. A methodology based on the equivalent base length concept is used to derive the lane loading model and the standard truck loading model is developed based on a statistical approach. The developed lane and truck loadings are compared with other loading models adopted locally and overseas. It is the first time in Hong Kong the bridge design loading is developed based on actual acquired load data using statistical and probabilistic approach.
Keywords :
Statistical analysis , Probability level , Average daily truck traffic , Extreme daily events , Kolmogorov–Sminorv Method , Monte Carlo simulation , Maximum observed load , Loading models , Equivalent base length , Weigh-in-Motion
Journal title :
Engineering Structures
Serial Year :
2002
Journal title :
Engineering Structures
Record number :
1639105
Link To Document :
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