Prediction of the interlayer shear strength of SCS panels with corrugated- strip shear connectors using gene expression programming algorithm

Document Type : Research Paper

Authors

1 Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran

2 Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran.

10.22124/jcr.2023.22432.1582

Abstract

Today, construction of large structures is growing quickly. For this reason, it is necessary to find the material with a rather low weight and high strength. For this purpose, Steel-Concrete-Steel (SCS) sandwich structures were proposed. SCS structures are composed of two steel layers and one concrete layer. Due to their low weight and high strength and flexibility, they have become popular among engineers. In the present research, first, three specimens of push-out test of strip shear connector were modeled and validated using ABAQUS finite elements software. Then, since the present equations to predict the shear strength of the shear connectors are complicated and are not so precise, the authors proposed an equation taking the effects of different geometrical parameters and the concrete's compressive strength in to account. For this purpose, using the experimental design, 17 specimens were designed and modeled. Then, an equation was proposed using the Genetic Expression Programming Algorithm (GEP) to predict the system's shear strength. Finally, the performance of the proposed equation was evaluated using the error parameters.

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References

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