A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Weigh-in-Motion (WIM) Data for Site-Specific LRFR. Bridge Load Rating
The live load factors in the Load and Resistant Factor Rating (LRFR) Manual are based on load data from Ontario thought to be representative of traffic volumes nationwide. However, in accordance with the methodology for developing site-specific live load factors in the provisions of the LRFR Manual, live load factors for six locations in Alabama were developed using statistical weigh-in-motion (WIM) data. WIM data were collected from six sites in Alabama, including sites located on state and interstate routes. Data were collected throughout the year and in both travel directions to account for possible seasonal and directional variations. Different WIM data collection windows were also analyzed to determine the minimum required collection window to achieve statistically valid results. WIM records representing truck traffic at each WIM site were categorized based on weight in accordance with the Code of Alabama and Alabama Department of Transportation (ALDOT) practices. This analysis of WIM data in Alabama resulted in lower live load factors for each of the six sites than those presented in the LRFR Manual. It is recommended that ALDOT consider using these lower live load factors to more accurately represent the load rating of bridges across the state.
Weigh-in-Motion (WIM) Data for Site-Specific LRFR. Bridge Load Rating
The live load factors in the Load and Resistant Factor Rating (LRFR) Manual are based on load data from Ontario thought to be representative of traffic volumes nationwide. However, in accordance with the methodology for developing site-specific live load factors in the provisions of the LRFR Manual, live load factors for six locations in Alabama were developed using statistical weigh-in-motion (WIM) data. WIM data were collected from six sites in Alabama, including sites located on state and interstate routes. Data were collected throughout the year and in both travel directions to account for possible seasonal and directional variations. Different WIM data collection windows were also analyzed to determine the minimum required collection window to achieve statistically valid results. WIM records representing truck traffic at each WIM site were categorized based on weight in accordance with the Code of Alabama and Alabama Department of Transportation (ALDOT) practices. This analysis of WIM data in Alabama resulted in lower live load factors for each of the six sites than those presented in the LRFR Manual. It is recommended that ALDOT consider using these lower live load factors to more accurately represent the load rating of bridges across the state.
Weigh-in-Motion (WIM) Data for Site-Specific LRFR. Bridge Load Rating
N. Uddin (author) / H. Zhao (author) / C. Waldron (author) / L. Dong (author) / A. Greer (author)
2011
24 pages
Report
No indication
English
Transportation & Traffic Planning , Road Transportation , Transportation Safety , Transportation , Traffic counters , Commercial vehicles , Vehicle weight , Trucks , Bridge load rating , Data collection , Weight stations , Pavement damage , Vehicle classification , Traffic counts , Electronic monitoring systems , Literature review , Surveys , Transportation planning , Enforcement , Traffic data , Trucking industry , Information dissemination , Technology assessment , Alabama Department of Transportation(ALDOT) , Weigh-In-Motion(WIM) , Load and Resistant Factor Rating(LRFR)
Load Rating of a Fully Instrumented Bridge: Comparison of LRFR Approaches
| British Library Online Contents | 2016
Effects of State Legal Loads on Bridge Rating Results Using the LRFR Procedure
| Online Contents | 2008
Bridge-weigh-in-motion for axle-load estimation
| TIBKAT | 2015
Probabilistic bridge weigh-in-motion
| British Library Online Contents | 2018
Contactless Bridge Weigh-in-Motion
| British Library Online Contents | 2016