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Improved Yield Line Analysis and Innovative Methodology to Evaluate the Capacity of RC Barriers Subjected to Vehicular Collision Force
Improved Yield Line Analysis and Innovative Methodology to Evaluate the Capacity of RC Barriers Subjected to Vehicular Collision Force
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Improved Yield Line Analysis and Innovative Methodology to Evaluate the Capacity of RC Barriers Subjected to Vehicular Collision Force
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Improved Yield Line Analysis and Innovative Methodology to Evaluate the Capacity of RC Barriers Subjected to Vehicular Collision Force
Improved Yield Line Analysis and Innovative Methodology to Evaluate the Capacity of RC Barriers Subjected to Vehicular Collision Force
Journal Article

Improved Yield Line Analysis and Innovative Methodology to Evaluate the Capacity of RC Barriers Subjected to Vehicular Collision Force

2025
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Overview
Reinforced Concrete (RC) barriers are used for different purposes in the highway inventory. An important purpose is the use of concrete barriers to act as railing that protects bridge piers against vehicular collision force (VCF). Therefore, these barriers are designed to absorb the collision energy and/or redirect the vehicle away from the parts being protected. Accurate estimation of the capacity of RC barriers during crash events is an important consideration in their design and placement. The American Association of State Highway and Transportation Officials (AASHTO) considers yield line analysis (YLA) with the V-shape failure pattern to predict the barrier capacity. AASHTO’s analysis method involves some assumptions that are intended to simplify the analysis process. Some of these assumptions have been shown to underestimate the actual barrier capacity and might disqualify many existing RC barriers from acting as intervening structures due to structural inadequacy. Many researchers have proposed alternative failure patterns and methodologies in an attempt to better predict the capacity of RC barriers. This research shows that AASHTO’s YLA, with the current V-shape failure pattern, can be improved and still predict the barrier capacity when some of the simplifying assumptions are eliminated. Also, the research presents an alternative innovative truss analogy model to predict the capacity of RC barriers. The results of the improved YLA and the proposed truss model are validated by finite element analysis (FEA) using Abaqus. The results of this research will help structural engineers in the highway industry to initially design new barriers for the intended capacity as well as estimate the capacity of existing ones.

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