Estimation of the Shear Strength Capacity of Masonry Walls Improved with Fiber Reinforced Mortars (FRM) Using ANN-GMDH Approach

Fiber reinforced polymers (FRP) are one of the most commonly used materials for rehabilitation and retrofit of structures. In some cases like the improvement of ancient buildings, these materials do not play a good role and show some defect in their performance. Fiber Reinforced Mortars (FRM) is a new generation of reinforcing materials is invented as external structural and seismic reinforcement. One of the most desirable functions of this type of materials is related to the in-plane shear strength of masonry walls. This paper aims to propose a formula for estimating the shear strength capacity of this kind of walls by using computational intelligence methods, ANN-GMDH was used for this purpose. This approach used 48 experimental dataset results to propose a model to be able to predict the shear strength of FRM strengthened masonry. The proposed model has a correlation coefficient of 0.95, which represents the high efficiency of the model.