Modelling the edge breakout shear capacity of single anchors using gene expression programming
نویسندگان
چکیده
The use of soft computing techniques is becoming more common in providing solutions to complex engineering problems such as the concrete breakout strength anchor. Available include semi-empirical equations that are known over or underpredict and some incapable generating predictive equations. This study proposes a gene expression programming (GEP)-based mathematical model predict edge capacity single anchors loaded shear. In doing so, an experimental database compiled by American Concrete Institute (ACI) Committee 355, containing 366 samples, was used for training testing. independent variables considered development distance, anchor diameter, embedment depth strength. Moreover, performance developed compared existing models proposed ACI 318 Eurocode 2 (EC2) design standards. assessment showed GEP-based provided much uniform accurate prediction actual than simple robust expected be very useful evaluating shear pre-planning pre-design phases; is, towards inclusions
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ژورنال
عنوان ژورنال: Neural Computing and Applications
سال: 2022
ISSN: ['0941-0643', '1433-3058']
DOI: https://doi.org/10.1007/s00521-022-06954-7