#7882. Residual-based damage evaluation of RC columns using feature classification and model optimization

October 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Architecture;
Building and Construction;
Civil and Structural Engineering;
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Abstract:
A residual-based damage evaluation framework with physical feature classification is proposed for categorizing RC columns regarding engineering parameters. To realize a real-time damage assessment, increasing the damage models feasibility is of interest. Considering the physical diversities of different RC columns, a damage model with a constant parameter setup may become unreliable in practice. To address this issue, a self-organizing map (SOM) is utilized to classify RC columns in terms of their engineering parameters.
Keywords:
data-driven damage evaluation; Park–Ang model; PEER database; physical feature classification; residual error; self-organizing map

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