Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm
Using bolt shear connectors in Steel-Concrete-Steel (SCS) slabs is very important due to producing a complete steel plates connection and adjusting the sandwich thickness desirably. Therefore, in the present research, a numerical study is conducted on the flexural behavior of SCS sandwich slabs with...
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Semnan University
2023-08-01
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Series: | Journal of Rehabilitation in Civil Engineering |
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Online Access: | https://civiljournal.semnan.ac.ir/article_6932_712651c265d4cc7df9c2746bfd5fa9b1.pdf |
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author | Mehdi Yousefi Mohammad Golmohammadi Seyed Hashem Khatibi Majid Yaghoobi |
author_facet | Mehdi Yousefi Mohammad Golmohammadi Seyed Hashem Khatibi Majid Yaghoobi |
author_sort | Mehdi Yousefi |
collection | DOAJ |
description | Using bolt shear connectors in Steel-Concrete-Steel (SCS) slabs is very important due to producing a complete steel plates connection and adjusting the sandwich thickness desirably. Therefore, in the present research, a numerical study is conducted on the flexural behavior of SCS sandwich slabs with stud-bolt shear connectors under the effect of the quasi-static concentrated load. For this purpose, first, the experimental specimens extracted from the previously published study were numerically modeled and quasi-statically analyzed using explicit dynamic analysis. Then based on the tests, the models were validated. Subsequently, the effect of the parameters, including the thickness of steel plates, stud-bolts diameter, the concrete core thickness, center-to-center distance of stud-bolt connectors, and the concrete core strength was evaluated based on the numerical models on the failure modes and the force-displacement curve. Finally, using the experimental setup and gene expression programming (GEP) algorithm, several numerical models were planned to predict the maximum strength of the slabs and a simple relation was proposed. The maximum strength resulting from the proposed relation and numerical models had an acceptable agreement with an error of 11% based on mean absolute percentage error (MAPE). |
format | Article |
id | doaj-art-d4051f57e471415787137e101d644588 |
institution | Kabale University |
issn | 2345-4415 2345-4423 |
language | English |
publishDate | 2023-08-01 |
publisher | Semnan University |
record_format | Article |
series | Journal of Rehabilitation in Civil Engineering |
spelling | doaj-art-d4051f57e471415787137e101d6445882025-01-20T11:34:37ZengSemnan UniversityJournal of Rehabilitation in Civil Engineering2345-44152345-44232023-08-01113688710.22075/jrce.2022.26528.16286932Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP AlgorithmMehdi Yousefi0Mohammad Golmohammadi1Seyed Hashem Khatibi2Majid Yaghoobi3Civil Engineering Department, Faculty of Maritime Engineering, Chabahar Maritime University, Chabahar, IranCivil Engineering and Architectural Department, Faculty of Engineering, University of Torbat Heydarieh, Torbat Heydarieh, IranCivil Engineering Department, Sistan and Baluchestan University, Zahedan, IranCivil Engineering and Architectural Department, Faculty of Engineering, University of Torbat Heydarieh, Torbat Heydarieh, IranUsing bolt shear connectors in Steel-Concrete-Steel (SCS) slabs is very important due to producing a complete steel plates connection and adjusting the sandwich thickness desirably. Therefore, in the present research, a numerical study is conducted on the flexural behavior of SCS sandwich slabs with stud-bolt shear connectors under the effect of the quasi-static concentrated load. For this purpose, first, the experimental specimens extracted from the previously published study were numerically modeled and quasi-statically analyzed using explicit dynamic analysis. Then based on the tests, the models were validated. Subsequently, the effect of the parameters, including the thickness of steel plates, stud-bolts diameter, the concrete core thickness, center-to-center distance of stud-bolt connectors, and the concrete core strength was evaluated based on the numerical models on the failure modes and the force-displacement curve. Finally, using the experimental setup and gene expression programming (GEP) algorithm, several numerical models were planned to predict the maximum strength of the slabs and a simple relation was proposed. The maximum strength resulting from the proposed relation and numerical models had an acceptable agreement with an error of 11% based on mean absolute percentage error (MAPE).https://civiljournal.semnan.ac.ir/article_6932_712651c265d4cc7df9c2746bfd5fa9b1.pdfsteel-concrete-steel slabstud-bolt connectorfinite elementgene expression programmingfailure modes |
spellingShingle | Mehdi Yousefi Mohammad Golmohammadi Seyed Hashem Khatibi Majid Yaghoobi Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm Journal of Rehabilitation in Civil Engineering steel-concrete-steel slab stud-bolt connector finite element gene expression programming failure modes |
title | Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm |
title_full | Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm |
title_fullStr | Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm |
title_full_unstemmed | Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm |
title_short | Prediction of the Punching Load Strength of SCS Slabs with Stud-Bolt Shear Connectors Using Numerical Modeling and GEP Algorithm |
title_sort | prediction of the punching load strength of scs slabs with stud bolt shear connectors using numerical modeling and gep algorithm |
topic | steel-concrete-steel slab stud-bolt connector finite element gene expression programming failure modes |
url | https://civiljournal.semnan.ac.ir/article_6932_712651c265d4cc7df9c2746bfd5fa9b1.pdf |
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