Bridge Influence Line Estimation for Bridge Weigh-in-Motion System

被引：45
|
作者：
Ieng, Sio-Song [1 ]
机构：
[1] Univ Paris Est, IFSTTAR, F-77447 Champs Sur Marne, France
来源：
JOURNAL OF COMPUTING IN CIVIL ENGINEERING | 2015年 / 29卷 / 01期
关键词：
Influence line; Maximum likelihood estimator; Weigh-in-motion; Signal processing;
D O I：
10.1061/(ASCE)CP.1943-5487.0000384
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents an algorithm that estimates the influence line (IL) of a bridge using data collected when trucks pass over the sensors installed in the bridge. The algorithm is tested with data collected from the Millau Viaduct in France using a bridge weigh-in-motion (B-WIM) device. The algorithm uses the maximum likelihood estimation (MLE) and is compared with an old algorithm. The algorithm is more robust because it takes into account many signals for the estimation of the IL. (C) 2014 American Society of Civil Engineers.
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页数：4
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