Advances in concrete construction

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Application of Lagrangian approach to generate P-I diagrams for RC columns exposed to extreme dynamic loading

  • Zhang, Chunwei (Multidisciplinary Center for Infrastructure Engineering, Shenyang University of Technology) ;
  • Abedini, Masoud (Multidisciplinary Center for Infrastructure Engineering, Shenyang University of Technology)
  • Received : 2022.03.26
  • Accepted : 2022.09.05
  • Published : 2022.09.25
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Abstract

The interaction between blast load and structures, as well as the interaction among structural members may well affect the structural response and damages. Therefore, it is necessary to analyse more realistic reinforced concrete structures in order to gain an extensive knowledge on the possible structural response under blast load effect. Among all the civilian structures, columns are considered to be the most vulnerable to terrorist threat and hence detailed investigation in the dynamic response of these structures is essential. Therefore, current research examines the effect of blast loads on the reinforced concrete columns via development of Pressure- Impulse (P-I) diagrams. In the finite element analysis, the level of damage on each of the aforementioned RC column will be assessed and the response of the RC columns when subjected to explosive loads will also be identified. Numerical models carried out using LS-DYNA were compared with experimental results. It was shown that the model yields a reliable prediction of damage on all RC columns. Validation study is conducted based on the experimental test to investigate the accuracy of finite element models to represent the behaviour of the models. The blast load application in the current research is determined based on the Lagrangian approach. To develop the designated P-I curves, damage assessment criteria are used based on the residual capacity of column. Intensive investigations are implemented to assess the effect of column dimension, concrete and steel properties and reinforcement ratio on the P-I diagram of RC columns. The produced P-I models can be applied by designers to predict the damage of new columns and to assess existing columns subjected to different blast load conditions.

Keywords

Acknowledgement

This research is financially supported by the Ministry of Science and Technology of China (Grant No. 2019YFE0112400), the Department of Science and Technology of Shandong Province (Grant No. 2021CXGC011204), the Key Research and Development Program of Liaoning Province (Grant No. 2017231010), and the key project of the State Key Laboratory of Jianghan University.

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