Assessing Confidence Intervals of Extreme Traffic Loads for Bridges

Extreme load effects for short- to medium-sized bridges are obtained by combining the extremes of truck gross vehicle weights (GVWs) or axle loads. The authors apply three known prediction methods to determine extreme traffic loads: a normal distribution fitting to the sample distribution upper tail; the block maxima method; and the peaks-over-threshold method. They introduce two additional methods, the delta method and the profile likelihood method, to investigate variability and build confidence intervals. Among the three methods used to assess extreme traffic loads, the generalized Pareto distribution based peaks-over-threshold method is determined to be the best in this study.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9781848214156
• Corporate Authors:

  John Wiley & Sons, Incorporated

  111 River Street
  Hoboken, NJ  United States  07030-6000
• Authors:
  • Zhou, X Y
  • Schmidt, F
  • Jacob, B
• Conference:
  • 6th International Conference on Weigh-In-Motion (ICWIM 6)
  • Location: Dallas Texas, United States
  • Date: 2012-6-4 to 2012-6-7
• Publication Date: 2012

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Monograph Title: Proceedings of the International Conference on Weigh-In-Motion (ICWIM 6)

Subject/Index Terms

• TRT Terms: Axle load force; Bridges; Confidence intervals; Gross vehicle weight; Mathematical prediction; Normal distributions; Traffic loads
• Subject Areas: Bridges and other structures; Data and Information Technology; Highways; Planning and Forecasting; I70: Traffic and Transport;

Filing Info

• Accession Number: 01501580
• Record Type: Publication
• ISBN: 9781848214156
• Files: TRIS
• Created Date: Dec 23 2013 7:52AM