Seong-Hoon Jeong’s research while affiliated with Inha University and other places

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Publications (2)


Load vs. mid-span vertical displacements [12,22]. (a) Model 1; (b) model 2; (c) model 3; (d) model 4; (e) model 5; (f) model 6; (g) model 7.
Composite cellular beams with PCHCS model [12].
Number of models per parameters analysed. (a) Do/d; (b) p/Do; (c) ht (mm); (d) tc (mm); (e) n; (f) nh; (g) η.
CatBoost algorithm explanation.
Gradient boost general structure [43].

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Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units
  • Article
  • Full-text available

July 2024

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223 Reads

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4 Citations

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Seong-Hoon Jeong

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Ehsan Mansouri

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[...]

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The global shear capacity of steel–concrete composite downstand cellular beams with precast hollow-core units is an important calculation as it affects the span-to-depth ratios and the amount of material used, hence affecting the embodied CO2 calculation when designers are producing floor grids. This paper presents a reliable tool that can be used by designers to alter and optimise grip options during the preliminary design stages, without the need to run onerous calculations. The global shear capacity prediction formula is developed using five machine learning models. First, a finite element model database is developed. The influence of the opening diameter, web opening spacing, tee-section height, concrete topping thickness, interaction degree, and the number of shear studs above the web opening are investigated. Reliability analysis is conducted to assess the design method and propose new partial safety factors. The Catboost regressor algorithm presented better accuracy compared to the other algorithms. An equation to predict the shear capacity of composite cellular beams with hollow-core units is proposed using gene expression programming. In general, the partial safety factor for resistance, according to the reliability analysis, varied between 1.25 and 1.26.

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Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units

May 2024

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339 Reads

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1 Citation

The calculation of the global shear capacity of steel-concrete composite downstand cellular beams with precast hollow-core units is important as it affects the span to depth ratios and the amount of material used, hence affects the embodied CO2 calculation when designers are deciding on the floor grids. This paper presents a reliable tool that can be used by designers to alter and optimise grip options during the preliminary design stages, without the need to run onerous calculations. The global shear capacity prediction formula is developed using five machine learning models. First, a finite element model database is developed. The influence of the opening diameter, web opening spacing, tee-section height, concrete topping thickness, the interaction degree, and the number of shear studs above the web opening are investigated. Reliability analysis is conducted to assess the design method and propose new partial safety factors. The Catboost Regressor algorithm presented better accuracy compared to the other algorithms. An equation to predict the shear capacity of composite cellular beams with hollow-core units is proposed by Gene Expression Programming. In general, the partial safety factor for resistance, according to the reliability analysis, varied between 1.25 and 1.26.

Citations (1)


... Cellular steel-concrete composite beams are with web openings used in the composite floor system to allow a longer span and integration of ancillary facilities. The ultimate moment of LDB [134], deflection [135], and global shear capacity [136] of cellular steel-concrete composite beams have been predicted through ML. Specifically, ANNs, SVMs, XGBoost, and RFs were applied to predict the ultimate moment of LDB in the hogging moment region [134]. ...

Reference:

Machine Learning for Design, Optimization and Assessment of Steel-Concrete Composite Structures: A Review
Five Machine Learning Models Predicting the Global Shear Capacity of Composite Cellular Beams with Hollow-Core Units