Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network
Cellular steel beams are primarily used to accommodate electrical and mechanical services within their structural depth, helping to reduce the floor-to-ceiling height in buildings. These beams are often tapered for various reasons, such as connecting members (e.g., beams) of different depths, adjust...
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| Format: | Article |
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MDPI AG
2025-03-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/6/992 |
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| author | Amine Osmani Rabee Shamass Konstantinos Daniel Tsavdaridis Felipe Piana Vendramell Ferreira Abdelwahhab Khatir |
| author_facet | Amine Osmani Rabee Shamass Konstantinos Daniel Tsavdaridis Felipe Piana Vendramell Ferreira Abdelwahhab Khatir |
| author_sort | Amine Osmani |
| collection | DOAJ |
| description | Cellular steel beams are primarily used to accommodate electrical and mechanical services within their structural depth, helping to reduce the floor-to-ceiling height in buildings. These beams are often tapered for various reasons, such as connecting members (e.g., beams) of different depths, adjusting stiffness in specific areas, or enhancing architectural design. This paper presents an algorithm developed using MATLAB R2019a and an artificial neural network (ANN) to predict the deflection of tapered cellular steel beams. The approach considers the web I-section variation parameter (<i>α</i>), along with shear and bending effects that contribute to additional deflections. It also accounts for the influence of the stiffness of the upper and lower T-sections at the centreline of the web opening. To validate the model, a total of 1415 finite element models were analysed. The deflections predicted by the analytical and ANN models were compared with finite element results, showing good agreement. |
| format | Article |
| id | doaj-art-99cff43998b046fa989d98db8418c90e |
| institution | OA Journals |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-99cff43998b046fa989d98db8418c90e2025-08-20T02:11:18ZengMDPI AGBuildings2075-53092025-03-0115699210.3390/buildings15060992Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural NetworkAmine Osmani0Rabee Shamass1Konstantinos Daniel Tsavdaridis2Felipe Piana Vendramell Ferreira3Abdelwahhab Khatir4LM2SC, Civil Engineering Department, University of Science and Technology of Oran Mohamed Boudiaf (USTO-MB), 1505, El Mnaouer, Oran 31000, AlgeriaDepartment of Civil and Environmental Engineering, Brunel University London, London UB8 3PH, UKDepartment of Engineering, School of Science & Technology, University of London, London EC1V 0HB, UKDepartment of Civil Engineering, State University of Maringá, Maringá 87020-900, PR, BrazilLM2SC, Civil Engineering Department, University of Science and Technology of Oran Mohamed Boudiaf (USTO-MB), 1505, El Mnaouer, Oran 31000, AlgeriaCellular steel beams are primarily used to accommodate electrical and mechanical services within their structural depth, helping to reduce the floor-to-ceiling height in buildings. These beams are often tapered for various reasons, such as connecting members (e.g., beams) of different depths, adjusting stiffness in specific areas, or enhancing architectural design. This paper presents an algorithm developed using MATLAB R2019a and an artificial neural network (ANN) to predict the deflection of tapered cellular steel beams. The approach considers the web I-section variation parameter (<i>α</i>), along with shear and bending effects that contribute to additional deflections. It also accounts for the influence of the stiffness of the upper and lower T-sections at the centreline of the web opening. To validate the model, a total of 1415 finite element models were analysed. The deflections predicted by the analytical and ANN models were compared with finite element results, showing good agreement.https://www.mdpi.com/2075-5309/15/6/992cellular beamstapered I-beamadditional deflectionartificial intelligencenumerical modelling |
| spellingShingle | Amine Osmani Rabee Shamass Konstantinos Daniel Tsavdaridis Felipe Piana Vendramell Ferreira Abdelwahhab Khatir Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network Buildings cellular beams tapered I-beam additional deflection artificial intelligence numerical modelling |
| title | Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network |
| title_full | Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network |
| title_fullStr | Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network |
| title_full_unstemmed | Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network |
| title_short | Deflection Predictions of Tapered Cellular Steel Beams Using Analytical Models and an Artificial Neural Network |
| title_sort | deflection predictions of tapered cellular steel beams using analytical models and an artificial neural network |
| topic | cellular beams tapered I-beam additional deflection artificial intelligence numerical modelling |
| url | https://www.mdpi.com/2075-5309/15/6/992 |
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