2023
DOI: 10.1016/j.rcns.2023.02.004
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Evaluation of seismic residual capacity ratio for reinforced concrete structures

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Cited by 7 publications
(1 citation statement)
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“…Likewise, the work of Cook et al [25] emphasized the importance of accurately benchmarking nonlinear dynamic procedures against empirical damage observations to assess the seismic performance of RC buildings more effectively. Shegay et al [26] introduced a novel approach to evaluating the seismic residual capacity ratio for RC structures, which could help predict the expected performance under seismic loads. A more data-driven perspective has been presented by Dogan et al [27], who employed Deep Transfer Learning to detect damages caused by earthquakes and reinforcement corrosion in RC buildings.…”
Section: Introductionmentioning
confidence: 99%
“…Likewise, the work of Cook et al [25] emphasized the importance of accurately benchmarking nonlinear dynamic procedures against empirical damage observations to assess the seismic performance of RC buildings more effectively. Shegay et al [26] introduced a novel approach to evaluating the seismic residual capacity ratio for RC structures, which could help predict the expected performance under seismic loads. A more data-driven perspective has been presented by Dogan et al [27], who employed Deep Transfer Learning to detect damages caused by earthquakes and reinforcement corrosion in RC buildings.…”
Section: Introductionmentioning
confidence: 99%