Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14907
Title: Bridge live load models from WIM data
Authors: Miao, TJ
Chan, THT
Keywords: Average daily truck traffic
Equivalent base length
Extreme daily events
Kolmogorov-Sminorv method
Loading models
Maximum observed load
Monte-Carlo simulation
Probability level
Statistical analysis
Weigh-in-motion
Issue Date: 2002
Publisher: Elsevier Sci Ltd
Source: Engineering structures, 2002, v. 24, no. 8, p. 1071-1084 How to cite?
Journal: Engineering Structures 
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.
URI: http://hdl.handle.net/10397/14907
ISSN: 0141-0296
DOI: 10.1016/S0141-0296(02)00034-2
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