A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges

Year 2020, Volume: 23 Issue: 1, 53 - 60, 01.03.2020

Arcan Yanik , Christopher Higgins

https://doi.org/10.2339/politeknik.469495

Cited By: 1

Abstract

Obtaining
the side-by-side probabilities accurately is a very important procedure during
two lane loaded live load factor analysis. To calculate the load factors
properly, side-by-side loading events should be investigated very carefully.
This study presents a statistical method to investigate the side-by-side events
on the Oregon bridges. Numerical simulations were performed for this
investigation. These simulations were developed in MATLAB. Gross vehicle
weights (GVW) of the trucks were used during the analysis. Monte Carlo
simulations were performed to analyze side-by-side loading events. Degree of
correlation coefficient of GVW for side-by-side trucks were also obtained from
Monte Carlo simulations. 290 bridges located at the prescribed mile markers on
Interstate-5 (I-5) southbound on Oregon highways and 1-year of Oregon
state-specific weigh-in-motion (WIM) data were used. 75,000 trucks were
randomly selected from 1,787,612 trucks that correspond to 1-year WIM data from
Woodburn NB traffic site that is located in Oregon. Inverse standard normal
distribution functions and cumulative distribution functions of the truck data
were generated. With respect to the statistical analysis, side-by-side loading
probabilities were found to be smaller than the ones presented in American
Association of State Highway and Transportation Officials LRFD calibration. 

Keywords

Bridge, civil engineering, highway, monte carlo simulation, side-by-side loading

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