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http://dx.doi.org/10.12989/sem.2022.83.5.577

An improvement on fuzzy seismic fragility analysis using gene expression programming  

Ebrahimi, Elaheh (Faculty of Civil Engineering, Babol Noshirvani University of Technology)
Abdollahzadeh, Gholamreza (Faculty of Civil Engineering, Babol Noshirvani University of Technology)
Jahani, Ehsan (Department of Civil Engineering, University of Mazandaran)
Publication Information
Structural Engineering and Mechanics / v.83, no.5, 2022 , pp. 577-591 More about this Journal
Abstract
This paper develops a comparatively time-efficient methodology for performing seismic fragility analysis of the reinforced concrete (RC) buildings in the presence of uncertainty sources. It aims to appraise the effectiveness of any variation in the material's mechanical properties as epistemic uncertainty, and the record-to-record variation as aleatory uncertainty in structural response. In this respect, the fuzzy set theory, a well-known 𝛼-cut approach, and the Genetic Algorithm (GA) assess the median of collapse fragility curves as a fuzzy response. GA is requisite for searching the maxima and minima of the objective function (median fragility herein) in each membership degree, 𝛼. As this is a complicated and time-consuming process, the authors propose utilizing the Gene Expression Programming-based (GEP-based) equation for reducing the computational analysis time of the case study building significantly. The results indicate that the proposed structural analysis algorithm on the derived GEP model is able to compute the fuzzy median fragility about 33.3% faster, with errors less than 1%.
Keywords
fuzzy set theory; gene expression programming; genetic algorithm; seismic fragility curve; uncertainty;
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Times Cited By KSCI : 8  (Citation Analysis)
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