Machine vision‐based automated earthquake‐induced drift ratio quantification for reinforced concrete columns

Abstract

SummaryThis paper presents a novel method for estimating the seismic peak interstory drift ratio (IDR) in reinforced concrete (RC) columns after an earthquake using surface crack image analysis. The quantitative representation of the complexity and irregularity of crack images in damaged RC columns is obtained through the consideration of the generalized fractal dimensions. The authors have compiled a comprehensive database consisting of 445 crack maps obtained from cyclic experiments conducted on 110 rectangular RC column specimens exhibiting double‐curvature deformation mode. This database is utilized by the authors to develop and validate the proposed procedure. The research database contains a wide range of structural and geometric features. Five closed‐form equations are developed with the objective of estimating the peak IDR experienced by the RC columns during a seismic event. The predictive equations are derived through the utilization of symbolic regression technique, with the input parameters varying according to the availability of columns characteristic parameters. Results reveal that generalized fractal dimensions, especially D−1, are strong vision‐based indicator of damage in RC columns having correlation coefficients with IDR ranging from 0.82 to 0.92 across the considered plans. The seismic peak IDR obtained through the empirical equations can serve as the input engineering demand parameter (EDP) in the seismic loss estimation frameworks. This allows for the determination of the probability of exceeding damage states for structural and nonstructural components of concrete buildings. Finally, the practical implementation of the methodology is examined by its application to an actual case of a damaged column during the Kermanshah earthquake of magnitude 7.3 that occurred in 2017.

Vision‐based probabilistic post‐earthquake loss estimation for reinforced concrete shear walls

“…More information on the characteristics of FGIs can be found in Refs. [45][46][47][48][49][50][51][52][53][54][106][107][108][109].…”

“…45,46 Additionally, Hamidia and Ganjizadeh presented peak drift ratio, 47 and energy dissipation 48,49 prediction equation for non-ductile RCMFs by deterministic methods based on GFDs. Also, for the estimation of residual stiffness, 50 strength, 51 and drift ratio 52,53 of RC columns, GFDs have been used. Hamidia et al 54 proposed a methodology for the estimation of drift ratio in generic RCMFs using cracking length and crushing density.…”