Use of soft computing techniques for predicting shear strength of adhesive anchors

ABSTRACTUse of Soft Computing Techniques for Predicting Shear Strength of Adhesive AnchorsMuhammet Enes YılmazM. Sc. in Civil EngineeringSupervisoor: Associated Prof. Dr. MEHMET GESOĞLUJanuary 2013, 44 pagesThis paper reports the results of an analytical study to predict the edge breakout shear capacity of single adhesive anchors post-installed into uncracked hardened concrete. For this purpose, an experimental database for the adhesive anchors compiled by the ACI Committee 355 was obtained and utilized to construct training and test sets so as to derive the closed-form solution by means of gene expression programming (GEP). The independent variables used for development of the prediction model were anchor diameter, type of anchor, edge distance, embedment depth, clear clearance of the anchor, type of chemical adhesive, method of injection of the chemical, and compressive strength of the concrete. The generated prediction model yielded correlation coefficients of 0.98 and 0.92 for training and testing data sets, respectively. Moreover, the performance of the proposed model was compared with the existing models proposed by American Concrete Institute (ACI) and Prestressed/Precast Concrete Institute (PCI). The analyses showed that the proposed GEP model provided much more accurate estimation of the observed values as compared to the other models.Keywords: Adhesive anchors, Genetic programming, Modeling, Shear capacity