Seismic Performance of Reinforced Concrete and Steel Moment Frames under Successive shocks: Evaluation and Estimation of Deflection Amplification Factor using Artificial Neural Network

Document Type : Original Article

Authors

1 Assistant Professor, Department of Civil Engineering, Tafresh University, 39518-79611, Tafresh, Iran

2 MSc Student, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran

3 Professor, Natural Disasters Prevention Research Center, School of Civil Engineering, Iran University of Science & Technology, Tehran, IRAN

10.22065/jsce.2023.408439.3177

Abstract

Structures in seismic active zones are often exposed to earthquakes that occur consecutively in a short time together. Therefore, there is not enough time to repair, rebuild or evacuate the damaged structures under the first shock before the second shocks. Despite what is often assumed by seismic design codes, the designed structures based on a single design earthquake are not capable of predicted service and performance. Considering the high damage potential of successive earthquakes, the seismic performance of RC and steel moment frames under successive shocks has been evaluated by comparing the deflection amplification factor (Cd) in the present paper. In this regard, nonlinear dynamic analysis has been performed for three steel and RC frames with 3, 7, and 11 stories under single and consecutive critical earthquakes. The results indicate that the seismic sequence phenomenon can lead to an increase in Cd for the studied frames. Average Cd for RC and steel frames under single shocks is equal to 3.5 and 3.4 and for consecutive shocks is 3.7 and 4. Also, the largest increase in Cd was about 15% for the 3-story steel frame.In the next step, for more comprehensively investigation of the seismic performance of the studied frames, an ideal artificial neural network is designed and after the sensitivity analysis of the maximum Cd factor, empirical equations are presented to estimate this parameter with acceptable accuracy.

Keywords

Main Subjects



Articles in Press, Accepted Manuscript
Available Online from 17 November 2023
  • Receive Date: 31 July 2023
  • Revise Date: 06 October 2023
  • Accept Date: 17 November 2023