Single and multiple presence statistics for bridge live load based on weigh-in-motion data
Author(s): |
E. L. Portela
R. M. Teixeira T. N. Bittencourt H. Nassif |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Revista IBRACON de Estruturas e Materiais, November 2017, n. 6, v. 10 |
Page(s): | 1163-1173 |
DOI: | 10.1590/s1983-41952017000600002 |
Abstract: |
Modeling the traffic loads on bridges has been the subject of numerous studies. Defining a live load model to be used for bridge design is not an easy task. It demands among many other things a reliable dataset, a well-defined procedure for filtering data and also the determination of statistics for single and multiple presence occurrences. This study examines and characterizes the live load statistics for Brazilian concrete bridges. Single and multiple truck presence are evaluated for different bridge spans and truck daily volume. The sample is comprised of the thirteen months of data from a High Speed Weigh-In-Motion station (HS-WIM) in a resolution of one hundredth of a second currently operating on the Fernão Dias highway, also known as BR-381. The system provides eleven thousand records on a daily basis. After the filtering process three thousand trucks remain. The station takes measures in an same-direction two-lane highway, which allows the evaluation and characterization of both single and multiple presence statistics. Three case of multiple presence are considered: following, side-by-side and staggered cases. The consideration of truck multiple presence on concrete bridges is mandatory to understand and characterize live load models. The results show that with the exception of the side-by-side case, the frequency of multiple truck presence is significantly affected by span length. It also shows that the daily truck volume considerably affects the multiple presence statistics for all load patterns. The results show that the general tendency of the occurrence of all multiple presence events is to increase as the truck volume increases. |
- About this
data sheet - Reference-ID
10413311 - Published on:
12/02/2020 - Last updated on:
12/02/2020