Technical Papers
Jul 28, 2022

A Design Live Load Model for Long-Span Bridges Based on Traffic Data and Simulations

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8, Issue 4

Abstract

Current design codes for long-span bridges rely on the conservative live load models developed based on the assumed severe traffic congestion scenarios. To properly consider the site-specific traffic environment in designs of long-span bridges, this study proposes a new live load model. First, traffic environments of long-span bridges are investigated to propose classifications according to the percentage of heavy vehicles and the occurrence frequency of traffic congestion. For multilane bridges, characteristic lanes (car, middle, and truck) are defined depending on their locations, and congested traffic flows are generated through microsimulation models to consider changes in vehicle speed and driving lanes. The traffic simulation produces live load samples, which provide a basis for a design lane load model and multiple presence factors for long-span bridges. As numerical examples, the live load effects of an actual bridge were estimated by the proposed live load model and compared with those in the current bridge design code of South Korea. The results show that the live load model of the existing code is overly conservative, whereas the proposed live load model reflects the actual traffic environments of long-span bridges effectively.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. This includes live load data and MATLAB code for the calculation of multiple presence factors and lane loads.

Acknowledgments

This work is supported by the Korea Agency for Infrastructure Technology Advancement (KAIA) grant funded by the Ministry of Land, Infrastructure and Transport (Grant No. 21SCIP-B119960-06). The second author is supported by the Institute of Construction and Environmental Engineering at Seoul National University. These supports are gratefully acknowledged.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 8Issue 4December 2022

History

Received: Oct 29, 2021
Accepted: May 10, 2022
Published online: Jul 28, 2022
Published in print: Dec 1, 2022
Discussion open until: Dec 28, 2022

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Postdoctoral Researcher, Dept. of Civil and Environmental Engineering, Seoul National Univ., 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea. Email: [email protected]
Junho Song, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Seoul National Univ., 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea (corresponding author). Email: [email protected]

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