Accurate and up-to-date evaluation of extreme load effects for bridge assessment

In the 1990's, during the background works of Eurocode 1991-2 (Traffic loads on bridges), extreme loads and extreme load effects have been evaluated by using WIM data recorded at various European locations. The most used WIM data file is a WIM data record, 2-week long, recorded at Auxerre on a French heavy trafficked motorway in 1986. Today, WIM records are longer and much more accurate, thanks to the fast progresses of the WIM technology. Thus they give a better account of the traffic variations along time. After the action COST323, self-calibration of WIM system has been generalized and the sensor and software technologies were improved. Therefore, uncertainties in the calculation of traffic effects on bridges are lesser than 25 years ago. To up-date the maximum load effects calculated in the late 1980's and used for the calibration of the load model LM1 of the Eurocode 1991-2, using the most recent WIM data, but also advanced extrapolation methods, extrapolations are made using various methods (Gaussian fitting, Gumbel fitting, Rice formula, Generalized Extreme Value, ..). Confidence intervals on the extremes that are found are derived. Among the several extrapolations methods found in the literature, a choice was made according to the objectives and the chosen methods were applied to traffic loads and traffic load effects. Results are discussed with respect to the method robustness vs the traffic data, the period of extrapolation and the load effect considered, as well of the likelihood of the final results.

Data and Resources

Additional Info

Field Value
Source TRA - Transport Research Arena
Author Zhou, Xiao Yi, Schmidt, Franziska, Jacob, Bernard, Toutlemonde, François
Maintainer CCSD
Last Updated May 5, 2026, 13:04 (UTC)
Created May 5, 2026, 13:04 (UTC)
Identifier hal-00983768
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Sécurité et Durabilité des Ouvrages d'Art (IFSTTAR/MAST/SDOA) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-Communauté Université Paris-Est
creator Zhou, Xiao Yi
date 2014-04-14T00:00:00
harvest_object_id 52d315df-233d-4dec-ad1c-3e5d56b85859
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2023-08-07T00:00:00
set_spec type:COMM