Numerical Studies on Concrete Barriers Subject to MASH Truck Impact
Publication: Journal of Bridge Engineering
Volume 25, Issue 7
Abstract
In January 2016, the FHWA and AASHTO announced a joint agreement that only bridge railing and longitudinal barriers evaluated using the 2016 edition of Manual for Assessing Safety Hardware (MASH) will be allowed for new permanent installations after December 31, 2019. However, in the current AASHTO-LRFD, railing design forces and their applications for concrete barriers have not been updated to MASH requirements, and the detailed impact process of the MASH truck on concrete barriers has not been systematically investigated. In most of the previous studies on MASH truck impacts, the concrete barrier had been assumed to be a rigid structure capable of sustaining a vehicular impact without any significant damage. This assumption neglects the deformation of the barrier and does not improve our understanding on the barrier's failure mechanisms. In this study, high-fidelity finite-element simulations have been carried out to investigate the demands imposed upon, and damage modes of, MASH TL-4 and TL-5 concrete barriers. An inelastic pushover analysis approach is proposed for the evaluation of the capacity of these concrete barriers. Based on the damage mode observed from the pushover analysis, a modified yielding line method (MYLM) is proposed for estimating the capacity of concrete barriers. It is observed that the capacity of concrete barriers estimated by the proposed MYLM matches with that from the pushover analysis quite well and it is generally much higher than from the current AASHTO-LRFD specifications.
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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. Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions.
Acknowledgments
This material is based upon work supported by the Federal Highway Administration under Contract No. DTFH61-14-D-00010. This research was supported, in part, under National Science Foundation Grant Nos. CNS-0958379, CNS-0855217, and ACI-1126113 and the City University of New York High-Performance Computing Center at the College of Staten Island. This study was also partially supported by the INSPIRE University Transportation Center (UTC). Financial support for INSPIRE UTC projects is provided by the US Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOT/OST-R) under Grant No. 69A3551747126 through the INSPIRE University Transportation Center (http://inspire-utc.mst.edu) at Missouri University of Science and Technology. Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the authors and do not necessarily reflect the views of the Federal Highway Administration, the USDOT/OST-R, or the National Science Foundation.
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© 2020 American Society of Civil Engineers.
History
Received: Jul 18, 2019
Accepted: Jan 13, 2020
Published online: Apr 21, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 21, 2020
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