Journal ArticleDOI
Post‐earthquake stiffness loss estimation for reinforced concrete columns using fractal analysis of crack patterns
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TLDR
In this article , an image-based procedure is developed for post-earthquake residual stiffness quantification of reinforced concrete columns, based on the availability of the structural information, five closed-form regression-aided equations are offered for estimating the stiffness loss in seismically damaged RC columns using predicting parameters among fractal indices, concrete strength, and the aspect ratio of the column.Abstract:
The seismic damage to reinforced concrete (RC) components is conventionally quantified through various damage indices. In this paper, an image‐based procedure is developed for post‐earthquake residual stiffness quantification of RC columns. The proposed scenario‐based methodology is built upon the multifractal indices of the surface crack maps of the seismically damaged RC columns as the complexity measure for the images. An extensive databank from experiments on RC column specimens with a broad range of structural characteristics are collected and employed for generation and validation of the proposed procedure. Based on the availability of the structural information, five closed‐form regression‐aided equations are offered for estimating the stiffness loss in seismically damaged RC columns using predicting parameters among fractal indices, concrete strength, and the aspect ratio of the column. Results reveal that multifractal dimensions of crack maps are largely correlated with the stiffness degradation in RC columns. A sample specimen at various stiffness‐based damage indices is also presented as a case study to evaluate the predicted versus measured damage indices. The updated stiffness values acquired by the proposed equations can be utilized for stability evaluation, system identification, or further analysis of the seismically damaged RC buildings following an earthquake.read more
Citations
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Extended fragility surfaces for unreinforced masonry walls using vision-derived damage parameters
TL;DR: In this article , a novel methodology for identifying the post-earthquake damage states of unreinforced masonry walls using visual damage features was introduced, where the authors quantified the qualitative description of guidelines to measure the probability of reaching different damage states using 3D fragility surfaces.
Journal ArticleDOI
Three‐dimensional fragility surface for reinforced concrete shear walls using image‐based damage features
TL;DR: In this article , the authors proposed a new data-driven method to generate three-dimensional fragility surfaces for post-earthquake damage assessment of reinforced concrete shear walls using image-based damage features.
Journal ArticleDOI
Data-driven strength-based seismic damage index measurement for RC columns using crack image-derived parameters
TL;DR: In this article , the lateral strength loss in RC columns following an earthquake is measured through surface crack image analysis through fractal indices of the crack textures for damaged RC columns are considered as the quantitative representatives of the complexity and irregularity of the images.
References
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Michael Schmidt,Hod Lipson +1 more
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