原文传递
Load and Resistance Factor Rating (LRFR) in New York State - Volume 1.
| 题名： | Load and Resistance Factor Rating (LRFR) in New York State - Volume 1. |
| 作者： | Ghosn, M.; Miao, F.; Sivakumar, B. |
| 关键词： | Bridges; Code Calibration; Live Load Factor; Load And Resistance Factor Rating(lrfr); Load Posting; Loading Rate; New York; Rating Factor; Reliability Index; Trucks; Weigh-in Motion |
| 摘要： | This report develops a Load and Resistance Factor Rating (NYS-LRFR) methodology for New York bridges. The methodology is applicable for the rating of existing bridges, the posting of under-strength bridges, and checking Permit trucks. The proposed LRFR methodology is calibrated to provide uniform reliability index values for all applications. The reliability calibration of live load factors is based on live load models developed using Truck Weigh-In-Motion (WIM) data collected from several representative New York sites. The live load models provide statistical projections of the maximum live load effects expected on New York bridges. A new set of NYS Legal Trucks along with appropriate live load factors are proposed for performing Operating Level Ratings of existing bridges. Permit load factors are calibrated for unlimited crossings of divisible loads as well as single crossings and unlimited crossings of non-divisible loads. An equation is proposed for determining Posting weight limits for bridges with low Rating Factors as a function of the effective span length. It is proposed that different posting weights be imposed for single unit trucks and semi-trailer trucks. |
| 报告类型： | 科技报告 |
相关文献
- Load and Resistance Factor Rating (LRFR) in NYS, Volume 2.
- Software for Load Distribution on Low-Fill Box Culverts: User’s Manual, Technical Summary.
- Condition Factor Calibration for Load and Resistance Factor Rating of Steel Girder Bridges
- Fatigue Strength and Evaluation of Double-Mast Arm Cantilevered Sign Structures.
- Guidelines for Design and Rating of Gusset-Plate Connections for Steel Truss Bridges. Tech Brief
检索历史
应用推荐
