Effect of Overweight Trucks on Bridge Deck Deterioration Based on Weigh-in-Motion Data

被引:23
|
作者
Lou, Peng [1 ]
Nassif, Hani [1 ]
Su, Dan [1 ,2 ]
Truban, Paul [3 ]
机构
[1] Rutgers State Univ, Dept Civil & Environm Engn, Rutgers Infrastruct Monitoring & Evaluat Grp, 96 Frelinghuysen Rd, Piscataway, NJ 08854 USA
[2] Lamar Univ, Dept Civil & Environm Engn, Beaumont, TX 77710 USA
[3] New Jersey Dept Transportat, Bur Freight Planning & Serv, 1035 Pkwy Ave,POB 600, Trenton, NJ 08625 USA
关键词
RELIABILITY;
D O I
10.3141/2592-10
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Highway agencies are responsible for the optimal expenditure of taxpayer dollars allocated to highway infrastructure. Truck size and weight are regulated by federal legislation, and every state highway agency has its own legal load limits. In addition, state agencies issue permits for trucks with gross vehicle weights that are above legal load limits. However, the effect of overweight trucks on the service life of bridge structures, especially concrete decks, is not explicitly quantified. Detailed research on deterioration models for bridge decks was conducted. Condition ratings of bridge decks in New Jersey from the National Bridge Inventory were used to derive the deterioration of decks over time, and the expected service lives of decks on different highways were obtained. Weigh-in-motion data from stations in New Jersey were used to extract two data sets: "all trucks" and "legal trucks." The "all trucks" data set was used to develop a deck deterioration model as a function of equivalent wheel load that could be used to estimate expected service life. Finally, bridge life-cycle cost analysis was conducted under two scenarios, one with and the other without overweight trucks, to quantify the economic impact of such trucks on bridge decks. The results indicate that overweight trucks caused more damage on New Jersey state highways than on Interstate highways because of a larger proportion of overweight trucks, heavy wheel loads from overweight trucks, and fewer axles per truck.
引用
收藏
页码:86 / 97
页数:12
相关论文
共 50 条
  • [41] A Comprehensive Probabilistic Model of Traffic Loads based on Weigh-in-Motion Data for Applications to Bridge Structures
    Kim, Jihwan
    Song, Junho
    KSCE JOURNAL OF CIVIL ENGINEERING, 2019, 23 (08) : 3628 - 3643
  • [42] A bridge weigh-in-motion system based on iteratively reweighted least squares
    Zhang L.
    Yin S.
    Chen N.
    Wang J.
    Yuan L.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2023, 42 (12): : 187 - 193
  • [43] A Comprehensive Probabilistic Model of Traffic Loads based on Weigh-in-Motion Data for Applications to Bridge Structures
    Jihwan Kim
    Junho Song
    KSCE Journal of Civil Engineering, 2019, 23 : 3628 - 3643
  • [44] Bridge Weigh-in-Motion Algorithms Based on the Field Calibrated Simulation Model
    Zhao, Zhisong
    Uddin, Nasim
    O'Brien, Eugene J.
    JOURNAL OF INFRASTRUCTURE SYSTEMS, 2017, 23 (01)
  • [45] Field Verification of Simplified Bridge Weigh-in-Motion Techniques
    Zolghadri, Navid
    Halling, Marvin W.
    Johnson, Nephi
    Barr, Paul J.
    JOURNAL OF BRIDGE ENGINEERING, 2016, 21 (10)
  • [46] Bridge Damage Detection Using Weigh-in-Motion Technology
    Cantero, Daniel
    Gonzalez, Arturo
    JOURNAL OF BRIDGE ENGINEERING, 2015, 20 (05)
  • [47] Improved accuracy and robustness of bridge weigh-in-motion systems
    Znidaric, Ales
    Kalin, Jan
    Kreslin, Maja
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2018, 14 (04) : 412 - 424
  • [48] WEIGHING TRUCKS ON AXLE-LOAD AND WEIGH-IN-MOTION SCALES.
    Lee, Clyde E.
    Machemehl, Randy B.
    Transportation Research Record, 1985, : 74 - 82
  • [49] Development and Testing of a Railway Bridge Weigh-in-Motion System
    Hajializadeh, Donya
    Znidari, Ales
    Kalin, Jan
    OBrien, Eugene John
    APPLIED SCIENCES-BASEL, 2020, 10 (14):
  • [50] Weigh-in-motion implementation in an old metallic railway bridge
    Marques, Fernando
    Moutinho, Carlos
    Hu, Wei-Hua
    Cunha, Alvaro
    Caetano, Elsa
    ENGINEERING STRUCTURES, 2016, 123 : 15 - 29