ANN- PSO modelling for predicting buckling of self-compacting concrete column containing RHA properties

نویسندگان

چکیده

In recent decades, concrete technology has reached the broad-based areas of operations through implementation Self Compacting Concrete to increase performance. Due high silica content, pozzolonic characteristic RHA makes it as a supplementary material for cement. this paper, Cement was partially replaced with Rice Hush Ash 5%, 10% 15%, 20%, 30% and 40% influencing properties SCC. The aim report is explore effect cement replacement by on fresh mechanical addition, bucking behaviour axial loaded reinforced column predicted using Artificial Neural Network. Experimental data are collected 100 experimental used training ANN model 20 sets utilized testing. From results observed that SCC blended shows positive relationship between an in strength compression tensile around 6. buckling 70% + ANN- PSO precision efficient model.

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ژورنال

عنوان ژورنال: Materia-rio De Janeiro

سال: 2023

ISSN: ['1517-7076']

DOI: https://doi.org/10.1590/1517-7076-rmat-2023-0102