Probabilistic Modeling of Single and Concurrent Truckloads on Bridges

The maintenance of bridges and the evolution of an appropriate bridge rating system require the consideration of loads from heavy trucks. These loads can arise from a single overweight truck or multiple trucks simultaneously present, or concurrent, on a bridge. This paper presents a probabilistic modeling approach to assess the frequency and likelihood of observing various bridge loads caused by single and concurrent trucks. The approach used weigh-in-motion (WIM) data collected at or near bridges of interest to identify single and concurrent trucks and their Corresponding loads. The modeling approach was applied to bridges near three WIM stations in Florida. Results showed that in any given month, there was a 100% probability of observing at least one single or concurrent truckload that exceeded twice the minimum weight of a single overweight truck (i.e., exceeded 711,715 N or 160,000 lb). In addition, the probability of observing extreme truckloads was significantly higher when all trucks were considered, as opposed to only overweight trucks. The modeling approach can easily be adapted to the goals of the study and to any region where WIM data are available at or near the bridge(s) of interest. Results generated from the modeling approach provide probabilistic loading input for bridge maintenance planning and truck permitting policy.

[1]  Heungbae Gil,et al.  Multiple-Presence Statistics of Heavy Trucks Based on High-Speed Weigh-in-Motion Data , 2015 .

[2]  Chunhua Liu,et al.  Truck Loading and Fatigue Damage Analysis for Girder Bridges Based on Weigh-in-Motion Data , 2005 .

[3]  Hani Nassif,et al.  Multiple Presence Statistics for Bridge Live Load Based on Weigh-in-Motion Data , 2007 .

[4]  Suren Chen,et al.  Characteristics and Dynamic Impact of Overloaded Extra Heavy Trucks on Typical Highway Bridges , 2015 .

[5]  Michel Ghosn,et al.  Adjustment of Load and Resistance Factor Design Live Load Factors Using Recent Weigh-in-Motion Data , 2010 .

[6]  Eiki Yamaguchi,et al.  Bridge-Weigh-In-Motion by Two-Span Continuous Bridge with Skew and Heavy-Truck Flow in Fukuoka Area, Japan , 2009 .

[7]  Bala Sivakumar,et al.  State-Specific LRFR Live Load Factors Using Weigh-in-Motion Data , 2008 .

[8]  John W. van de Lindt,et al.  Locality of Truck Loads and Adequacy of Bridge Design Load , 2005 .

[9]  Andrzej S. Nowak,et al.  Effect of Truck Loads on Bridges , 1993 .

[10]  Scott S Washburn,et al.  Probabilistic Assessment of Bridge Loading Concurrent with Permit Vehicles , 2005 .

[11]  Michel Ghosn,et al.  Development of State-Specific Load and Resistance Factor Rating Method , 2013 .

[12]  Eugene J. O'Brien,et al.  Modeling Same-Direction Two-Lane Traffic for Bridge Loading , 2011 .

[13]  P Croce,et al.  Stochastic Model for Multilane Traffic Effects on Bridges , 2001 .

[14]  Oh-Sung Kwon,et al.  Calibration of Live-Load Factor in LRFD Bridge Design Specifications Based on State-Specific Traffic Environments , 2011 .

[15]  Michael J. Chajes,et al.  Reliability-Based Load and Resistance Factor Rating Using In-Service Data , 2005 .

[16]  Michel Ghosn.  DEVELOPMENT OF TRUCK WEIGHT REGULATIONS USING BRIDGE RELIABILITY MODEL , 2000 .

[17]  Mark D. Bowman,et al.  Multiple Presence Factor for Truck Load on Highway Bridges , 2013 .

[18]  Gongkang Fu,et al.  Vehicular Overloads: Load Model, Bridge Safety, and Permit Checking , 2000 .

[19]  Gongkang Fu,et al.  Truck Loads and Bridge Capacity Evaluation in China , 2009 .

[20]  Habib Tabatabai,et al.  Evaluation of a Permit Vehicle Model Using Weigh-in-Motion Truck Records , 2012 .

[21]  Eugene J. O'Brien,et al.  Monte Carlo simulation of extreme traffic loading on short and medium span bridges , 2013 .

[22]  Fred Moses,et al.  Effect of Changing Truck Weight Regulations on U.S. Bridge Network , 2000 .

[23]  Przemyslaw Rakoczy,et al.  WIM-based live load for bridges , 2012 .