Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations
Traffic load models available in building standards are most often developed for short or medium span bridges, however, it is necessary to develop traffic load models just for long span bridges, because the most unfavourable traffic situations are different. Weigh-in-Motion system data from highway...
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Format: | Article |
Language: | English |
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RTU Press
2016-03-01
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Series: | The Baltic Journal of Road and Bridge Engineering |
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Online Access: | https://bjrbe-journals.rtu.lv/article/view/3324 |
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author | Ainars Paeglitis Andris Freimanis |
author_facet | Ainars Paeglitis Andris Freimanis |
author_sort | Ainars Paeglitis |
collection | DOAJ |
description | Traffic load models available in building standards are most often developed for short or medium span bridges, however, it is necessary to develop traffic load models just for long span bridges, because the most unfavourable traffic situations are different. Weigh-in-Motion system data from highway A1 and A3 were used in this study. Measurement errors from data were cleaned using two groups of filters. The first group was based on vehicle validity codes recorded by both systems, if any circumstances might have influenced the measurements, the second group cleaned data using general filters for all vehicles and specific filters for trucks and cars. Additionally, vehicles were adjusted for influence of temperature. Data cleaning increased the average gross vehicle, so it could be considered as a conservative choice. Six traffic scenarios, each with different percentage of cars in the traffic, were made to assess the difference in loads from different traffic compositions. Traffic loads for long-span bridges were calculated using two approaches: the first assuming constant span length, the second, using influence lines from a bridge currently in design stage. Gumbel distribution were fitted to the calculate loads and they were extrapolated to probability of exceedance of 5% in 50 year period. Results show that influence line approach yield larger loads than those from constant-span. Both approaches result in loads larger than ones in Eurocode 1 Load Model 1, however, increase might have been caused by an increase in vehicle weight. |
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institution | Directory Open Access Journal |
issn | 1822-427X 1822-4288 |
language | English |
last_indexed | 2024-12-12T07:50:08Z |
publishDate | 2016-03-01 |
publisher | RTU Press |
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series | The Baltic Journal of Road and Bridge Engineering |
spelling | doaj.art-0fb304ebfb41460bb034c83765a00bc52022-12-22T00:32:28ZengRTU PressThe Baltic Journal of Road and Bridge Engineering1822-427X1822-42882016-03-0111110.3846/bjrbe.2016.101819Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load CalculationsAinars Paeglitis0Andris Freimanis1Institute of Transport Infrastructure Engineering, Riga Technical University, Kīpsalas str. 6, LV–1048 Riga, LatviaInstitute of Transport Infrastructure Engineering, Riga Technical University, Kīpsalas str. 6, LV–1048 Riga, LatviaTraffic load models available in building standards are most often developed for short or medium span bridges, however, it is necessary to develop traffic load models just for long span bridges, because the most unfavourable traffic situations are different. Weigh-in-Motion system data from highway A1 and A3 were used in this study. Measurement errors from data were cleaned using two groups of filters. The first group was based on vehicle validity codes recorded by both systems, if any circumstances might have influenced the measurements, the second group cleaned data using general filters for all vehicles and specific filters for trucks and cars. Additionally, vehicles were adjusted for influence of temperature. Data cleaning increased the average gross vehicle, so it could be considered as a conservative choice. Six traffic scenarios, each with different percentage of cars in the traffic, were made to assess the difference in loads from different traffic compositions. Traffic loads for long-span bridges were calculated using two approaches: the first assuming constant span length, the second, using influence lines from a bridge currently in design stage. Gumbel distribution were fitted to the calculate loads and they were extrapolated to probability of exceedance of 5% in 50 year period. Results show that influence line approach yield larger loads than those from constant-span. Both approaches result in loads larger than ones in Eurocode 1 Load Model 1, however, increase might have been caused by an increase in vehicle weight.https://bjrbe-journals.rtu.lv/article/view/3324bridgedata cleaningloadsload modellinglong-span bridgesweigh-in-motion (wim). |
spellingShingle | Ainars Paeglitis Andris Freimanis Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations The Baltic Journal of Road and Bridge Engineering bridge data cleaning loads load modelling long-span bridges weigh-in-motion (wim). |
title | Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations |
title_full | Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations |
title_fullStr | Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations |
title_full_unstemmed | Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations |
title_short | Comparision of Constant-Span and Influence Line Methods for Long-Span Bridge Load Calculations |
title_sort | comparision of constant span and influence line methods for long span bridge load calculations |
topic | bridge data cleaning loads load modelling long-span bridges weigh-in-motion (wim). |
url | https://bjrbe-journals.rtu.lv/article/view/3324 |
work_keys_str_mv | AT ainarspaeglitis comparisionofconstantspanandinfluencelinemethodsforlongspanbridgeloadcalculations AT andrisfreimanis comparisionofconstantspanandinfluencelinemethodsforlongspanbridgeloadcalculations |