Multilane reduction factors based on wim data

C. C. Caprani, P. F. van der Spuy, R. Lenner, T. de Wet

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

Multiple lane presence reduction factors are widely used in traffic load models for bridge design to account for the reduced probability of multiple heavy vehicles occurring simultaneously in adjacent lanes. It is custom to reduce the single lane loading by a reduction factor with a value less than one which reduces as the number of loaded lanes increase. The values of these factors used in design codes tend to be based on many assumptions due to a lack of data. This paper describes a novel method to determine reduction factors based on Extreme Value statistics and multiple lane Weigh in Motion data. The method compares load effects in parallel lanes at characteristic level and avoids assumptions made in previous works. As the method is based on Weigh in Motion data it also accounts for the possibility of multiple vehicles in any one lane. The method is illustrated for selected load effects and a 30 m span length.

Original languageEnglish
Title of host publicationAdvances in Engineering Materials, Structures and Systems
Subtitle of host publicationInnovations, Mechanics and Applications - Proceedings of the 7th International Conference on Structural Engineering, Mechanics and Computation (SEMC 2019)
EditorsAlphose Zingoni
PublisherCRC Press
Pages1848-1852
Number of pages5
ISBN (Print)9781138386969
DOIs
Publication statusPublished - 2019
EventInternational Conference On Structural Engineering, Mechanics and Computation 2019 - Cape Town, South Africa
Duration: 2 Sep 20194 Sep 2019
Conference number: 7th

Conference

ConferenceInternational Conference On Structural Engineering, Mechanics and Computation 2019
Abbreviated titleSEMC 2019
CountrySouth Africa
CityCape Town
Period2/09/194/09/19

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