Single and multiple presence statistics for bridge live load based on weigh-in-motion data
نویسندگان
چکیده
منابع مشابه
Analysis of axle and vehicle load properties through Bayesian Networks based on Weigh-in-Motion data
Weigh-in-Motion (WIM) systems are used, among other applications, in pavement and bridge reliability. The system measures quantities such as individual axle load, vehicular loads, vehicle speed, vehicle length and number of axles. Because of the nature of traffic configuration, the quantities measured are evidently regarded as random variables. The dependence structure of the data of such compl...
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Bridge Weigh-in-Motion systems can be used to estimate vehicle parameters such as velocity, axle loads, or the distance between axles without affecting the traffic. These parameters and the classification of vehicles are necessary to determine vehicle overload and hence may help to reduce risks for road users and road infrastructure and allow optimized planning of maintenance work. The Bridge W...
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The knowledge of the process of the deterioration of structural resistance is crucial for existing bridge assessment. However, precisely modeling the process of loading also affects the evaluation. Indeed traffic loading is one of the main loads that a bridge is subjected to in its service time. This paper investigates the role of traffic loading on the time-dependent reliability of a given bri...
متن کاملVehicle Signal Analysis Using Artificial Neural Networks for a Bridge Weigh-in-Motion System
This paper describes the procedures for development of signal analysis algorithms using artificial neural networks for Bridge Weigh-in-Motion (B-WIM) systems. Through the analysis procedure, the extraction of information concerning heavy traffic vehicles such as weight, speed, and number of axles from the time domain strain data of the B-WIM system was attempted. As one of the several possible ...
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ژورنال
عنوان ژورنال: Revista IBRACON de Estruturas e Materiais
سال: 2017
ISSN: 1983-4195
DOI: 10.1590/s1983-41952017000600002