Vehicle Collision Analysis of the Reinforced Concrete Barriers Installed on Bridges Using Node-Independent Model

被引:0
|
作者
Kim, Jeong J. [1 ]
Ahn, Jae S. [2 ]
机构
[1] Korea Natl Railway, Daejeon 34618, South Korea
[2] Yeungnam Univ, Sch Gen Educ, Gyongsan 38541, South Korea
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 22期
基金
新加坡国家研究基金会;
关键词
reinforce concrete barrier; finite element model; evaluation of strength performance; evaluation of occupant risk; evaluation of post-collision vehicle safety; RC BEAMS; CRACKING; FLEXURE;
D O I
10.3390/app142210518
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper focuses on improving vehicle collision simulations using finite element analysis (FEA) to examine interactions between reinforced concrete barriers and bridge decks. Three scenarios are explored: treating the barrier as a rigid body, analyzing reinforcement with a fixed base, and including the bridge deck's cantilever portion beneath the barrier. Except for the rigid body model, a node-independent approach models the complex interactions between reinforcement and concrete in barriers on the bridge deck. This study evaluates barrier strength, occupant risk, and post-collision vehicle safety. Strength is assessed by examining stress in reinforcement and concrete, while occupant risk is measured using Theoretical Head Impact Velocity (THIV) and Post-impact Head Deceleration (PHD). Vehicle trajectory during collisions is also analyzed for stability. The results show significant differences in stress distribution and failure patterns when the bridge deck is considered compared to scenarios without it. Occupant risk evaluations suggest more flexible responses when the bridge deck is included. However, vehicle trajectory post-collision showed no significant differences across scenarios. These findings indicate that modeling efficiency varies based on evaluation criteria, suggesting a more realistic and effective approach for assessing barriers on bridges.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Operational modal analysis of reinforced concrete bridges using autoregressive model
    Park, Kyeongtaek
    Kim, Sehwan
    Torbol, Marco
    SMART STRUCTURES AND SYSTEMS, 2016, 17 (06) : 1017 - 1030
  • [2] Damage Analysis of Reinforced Concrete Piers under Vehicle Collision
    Chen, Lin
    Liu, Tao
    STRUCTURES CONGRESS 2019: BLAST, IMPACT LOADING, AND RESEARCH AND EDUCATION, 2019, : 1 - 11
  • [3] Reliability analysis of reinforced concrete vehicle bridges columns using non-parametric Bayesian networks
    Angel Mendoza-Lugo, Miguel
    Joaquin Delgado-Hernandez, David
    Morales-Napoles, Oswaldo
    ENGINEERING STRUCTURES, 2019, 188 : 178 - 187
  • [4] Estimating chloride exposure of reinforced concrete bridges using vehicle spray and splash mechanisms
    Wang, Hanmin
    Ranade, Ravi
    Okumus, Pinar
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2023, 19 (11) : 1676 - 1686
  • [6] An Analysis of the Dynamic Behavior of Damaged Reinforced Concrete Bridges under Moving Vehicle Loads by Using the Moving Mesh Technique
    Greco F.
    Lonetti P.
    Pascuzzo A.
    Sansone G.
    SDHM Structural Durability and Health Monitoring, 2023, 17 (06): : 457 - 483
  • [7] Nonlinear Seismic Analysis of Reinforced Concrete Bridges Using the Force Analogy Method
    Li, Gang
    Zhang, Yu
    Li, Hong-Nan
    JOURNAL OF BRIDGE ENGINEERING, 2015, 20 (10)
  • [8] THE ESTIMATION OF SEISMIC PERFORMANCES OF REINFORCED CONCRETE GIRDER BRIDGES USING NONLINEAR DYNAMIC ANALYSIS
    Raseta, Andrija
    Ladinovic, Dorde
    Radujkovic, Aleksandra
    TEHNICKI VJESNIK-TECHNICAL GAZETTE, 2017, 24 (02): : 489 - 496
  • [9] Nonlinear Analysis of Reinforced Concrete Walls Using New Concrete Model in OpenSees
    Yang, Juhua
    Wallace, John W.
    Lu, Xilin
    2013 FIFTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2013), 2013, : 724 - 728
  • [10] A NONLINEAR MODEL FOR STATIC AND DYNAMIC TRANSVERSE LOAD ANALYSIS OF REINFORCED-CONCRETE HIGHWAY BRIDGES
    SAIIDI, M
    HART, JD
    DOUGLAS, BM
    COMPUTERS & STRUCTURES, 1987, 26 (05) : 831 - 840