A Random Vibration-Based Simulation Model for Nonlinear Seismic Assessment of Steel Structures Subjected to Fling-Step Ground Motion Records

Ezzodin, Amir; Amiri, Gholamreza Ghodrati; Dehkordi, Morteza Raissi

doi:10.1007/s42417-022-00509-9

Cited by 2 publications

(1 citation statement)

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“…Several studies (e.g., [32][33][34][35][36][37][38]) have simulated the nearfault velocity pulse. In the present study, however, the fingstep pulse suggested by Ezzodin et al [38] and the extracted pulse by using wavelet transform were utilized to analyze the efect of the near-fault pulse on the damage detection procedure.…”

Section: Finite Element Modeling and Earthquake Simulationmentioning

confidence: 99%

A Novel Damage Detection Method of Reinforced Concrete Frames Using Signal Processing and Extracted Near-Fault Fling-Step Pulses

Ezzodin

Amiri

Naderpour

et al. 2022

Shock and Vibration

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A new model-free output-only signal processing-based damage detection procedure was carried out in this paper. First of all, a finite element model as the representative of reinforced concrete (RC) frames was constructed and subjected to a specific loading protocol in OpenSees. The protocol consisted of 9 consequent different near-fault fling-step pulse-type earthquake records with low-amplitude white noises among them to simulate the collapse procedure. The analysis process was complemented in three levels: (a) the Fourier transform was utilized to extract the vibration frequency, (b) the time instants of damage occurrence were detected by using the discrete wavelet transform, and (c) accurate damage detection was made by using the extracted pulse components of the records as loading protocol for earthquake simulation and the discrete wavelet transform. The results revealed that the proposed combinatorial method could efficiently diagnose the damage in the RC frames. Also, applying a pulse component instead of an original record increases the accuracy of damage detection by 70%.

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