A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Reverse design-based optimizations for reinforced concrete columns encasing H-shaped steel section using ANNs
This study aims to propose artificial neural networks (ANNs) to solve structural engineering problems and to provide optimal designs for reinforced concrete columns with H-shaped steel sections. A reverse scenario based on preassigned safety factor () for a factored biaxial load, steel ratio (), and aspect ratio of columns () is presented, meeting code requirements. A back-substitution (BS) method using a chained training scheme with a revised sequence (CRS) is implemented to optimize training. Effects of rebar and steel ratios on objective functions, cost index (), emission, and column weight () are identified. Three-dimensional interaction diagrams are obtained based on optimized , emission, and based on preassigned equivalent to 1.0. Predictions from ANNs are ascertained using structural mechanics, demonstrating a significance of an accuracy of the optimized design obtained by the proposed ANNs. This study provides a useful and practical design for SRC columns by lessening engineer’s effort while increasing design accuracies.
<title>GRAPHICAL ABSTRACT</title> <fig><graphic></graphic></fig>
Reverse design-based optimizations for reinforced concrete columns encasing H-shaped steel section using ANNs
This study aims to propose artificial neural networks (ANNs) to solve structural engineering problems and to provide optimal designs for reinforced concrete columns with H-shaped steel sections. A reverse scenario based on preassigned safety factor () for a factored biaxial load, steel ratio (), and aspect ratio of columns () is presented, meeting code requirements. A back-substitution (BS) method using a chained training scheme with a revised sequence (CRS) is implemented to optimize training. Effects of rebar and steel ratios on objective functions, cost index (), emission, and column weight () are identified. Three-dimensional interaction diagrams are obtained based on optimized , emission, and based on preassigned equivalent to 1.0. Predictions from ANNs are ascertained using structural mechanics, demonstrating a significance of an accuracy of the optimized design obtained by the proposed ANNs. This study provides a useful and practical design for SRC columns by lessening engineer’s effort while increasing design accuracies.
<title>GRAPHICAL ABSTRACT</title> <fig><graphic></graphic></fig>
Reverse design-based optimizations for reinforced concrete columns encasing H-shaped steel section using ANNs
Hong, Won-Kee (author) / Nguyen, Van Tien (author) / Nguyen, Dinh Han (author) / Nguyen, Manh Cuong (author)
Journal of Asian Architecture and Building Engineering ; 22 ; 660-674
2023-03-04
15 pages
Article (Journal)
Electronic Resource
Unknown
| Taylor & Francis Verlag | 2023
Reinforcement of steel head frame by encasing it in reinforced concrete
| Engineering Index Backfile | 1933
Axial restraint effects on the fire resistance of composite columns encasing I-section steel
| Online Contents | 2007