Seismic behavior and failure modes of non-ductile three-story reinforced concrete structure: A numerical investigation

Banu A. Hidayat, Hsuan Teh Hu, Fu Pei Hsiao, Ay Lie Han, Lisha Sosa, Li Yin Chan, Yanuar Haryanto

Research output: Contribution to journalArticlepeer-review

Abstract

Reinforced concrete (RC) buildings in Taiwan have suffered failure from strong earthquakes, which was magnified by the non-ductile detailing frames. Inadequate reinforcement as a consequence of the design philosophy prior to the introduction of current standards resulted in severe damage in the column and beam-column joint (BCJ). This study establishes a finite element analysis (FEA) of the non-ductile detailing RC column, BCJ, and three-story building that was previously tested through a tri-axial shaking table test. The results were then validated to laboratory specimens having the exact same dimensions and properties. FEA simulation integrates the concrete damage plasticity model and the elastic-perfectly plastic model for steel. The load-displacement responses of the column and BCJ specimens obtained from FEA were in a reasonable agreement with the experimental curves. The resulting initial stiffness and maximum base shear were found to be a close approximation to the experimental results. Also, the findings of a dynamic analysis of the three-story building showed that the time-history data of acceleration and displacement correlated well with the shaking table test results. This indicates the FEA implementation can be effectively used to predict the RC frame performance and failure mode under seismic loads.

Original languageEnglish
Pages (from-to)457-472
Number of pages16
JournalComputers and Concrete
Volume27
Issue number5
DOIs
Publication statusPublished - 2021 May

All Science Journal Classification (ASJC) codes

  • Computational Mechanics

Fingerprint

Dive into the research topics of 'Seismic behavior and failure modes of non-ductile three-story reinforced concrete structure: A numerical investigation'. Together they form a unique fingerprint.

Cite this