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Steel and Composite Structures Volume 48, Number 5, September10 2023 , pages 531-545 DOI: https://doi.org/10.12989/scs.2023.48.5.531 |
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Steel-UHPC composite dowels |
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Zhihua Xiong, Zhuoxi Liang, Xuyao Liu, Markus Feldmann and Jiawen Li
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| Abstract | ||
| Composite dowels are implemented as a powerful alternative to headed studs for the efficient combination of Ultra High-Performance Concrete (UHPC) with high-strength steel in novel composite structures. They are required to provide sufficient shear resistance and ensure the transmission of tensile forces in the composite connection in order to prevent lifting of the concrete slab. In this paper, the load bearing capacity of puzzle-shaped and clothoidal-shaped dowels encased in UHPC specimen were investigated based on validated experimental test data. Considering the influence of the embedment depth and the spacing width of shear dowels, the characteristics of UHPC square plate on the load bearing capacity of composite structure, 240 numeric models have been constructed and analyzed. Three artificial intelligence approaches have been implemented to learn the discipline from collected experimental data and then make prediction, which includes Artificial Neural NetworkParticle Swarm Optimization (ANN-PSO), Adaptive Neuro-Fuzzy Inference System (ANFIS) and an Extreme Learning Machine (ELM). Among the factors, the embedment depth of composite dowel is proved to be the most influential parameter on the load bearing capacity. Furthermore, the results of the prediction models reveal that ELM is capable to achieve more accurate prediction. | ||
| Key Words | ||
| adaptive neuro-fuzzy inference system; artificial neural network; composite dowels; extreme learning machine; pull-out test; UHPC | ||
| Address | ||
| Zhihua Xiong:1)College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi, China 2)nstitute of Steel Construction, RWTH Aachen University, Aachen, Germany Zhuoxi Liang, Xuyao Liu and Jiawen Li:College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi, China Markus Feldmann:College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling, Shaanxi, China | ||