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## trenA Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon BridgesA Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges

#### Arcan YANİK [1] , Christopher HİGGİNS [2]

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.

### 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.

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Primary Language en Engineering Research Article Orcid: 0000-0002-2527-4812Author: Arcan YANİK (Primary Author)Institution: ISTANBUL TECHNICAL UNIVERSITYCountry: Turkey Orcid: 0000-0002-2443-0369Author: Christopher HİGGİNS Institution: Oregon State UniversityCountry: United States Publication Date : March 1, 2020
 Bibtex @research article { politeknik469495, journal = {Politeknik Dergisi}, issn = {}, eissn = {2147-9429}, address = {Gazi Üniversitesi Teknoloji Fakültesi 06500 Teknikokullar - ANKARA}, publisher = {Gazi University}, year = {2020}, volume = {23}, pages = {53 - 60}, doi = {10.2339/politeknik.469495}, title = {A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges}, key = {cite}, author = {YANİK, Arcan and HİGGİNS, Christopher} } APA YANİK, A , HİGGİNS, C . (2020). A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges. Politeknik Dergisi , 23 (1) , 53-60 . DOI: 10.2339/politeknik.469495 MLA YANİK, A , HİGGİNS, C . "A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges". Politeknik Dergisi 23 (2020 ): 53-60 Chicago YANİK, A , HİGGİNS, C . "A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges". Politeknik Dergisi 23 (2020 ): 53-60 RIS TY - JOUR T1 - A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges AU - Arcan YANİK , Christopher HİGGİNS Y1 - 2020 PY - 2020 N1 - doi: 10.2339/politeknik.469495 DO - 10.2339/politeknik.469495 T2 - Politeknik Dergisi JF - Journal JO - JOR SP - 53 EP - 60 VL - 23 IS - 1 SN - -2147-9429 M3 - doi: 10.2339/politeknik.469495 UR - https://doi.org/10.2339/politeknik.469495 Y2 - 2019 ER - EndNote %0 Politeknik Dergisi A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges %A Arcan YANİK , Christopher HİGGİNS %T A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges %D 2020 %J Politeknik Dergisi %P -2147-9429 %V 23 %N 1 %R doi: 10.2339/politeknik.469495 %U 10.2339/politeknik.469495 ISNAD YANİK, Arcan , HİGGİNS, Christopher . "A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges". Politeknik Dergisi 23 / 1 (March 2020): 53-60 . https://doi.org/10.2339/politeknik.469495 AMA YANİK A , HİGGİNS C . A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges. Politeknik Dergisi. 2020; 23(1): 53-60. Vancouver YANİK A , HİGGİNS C . A Monte-Carlo Simulation for the Estimation of Side-by-Side Loading Events on Oregon Bridges. Politeknik Dergisi. 2020; 23(1): 60-53.

Authors of the Article
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