Shear wave velocity (VS) is one of the most important parameters in deep and surface studies estimation geotechnical design parameters. This parameter widely utilized to determine permeability porosity, lithology, rock mechanical parameters, fracture assessment. However, measuring this either impossible or difficult due challenges related horizontal deviation wells difficulty reaching cores. Ar...

In this paper, experimental responses of the clamped mild steel, copper, and aluminium circular plates are presented subjected to blast loading. The GMDH-type neural networks (Group Method of Data Handling) are then used for the modelling of the mid-point deflection thickness ratio of the circular plates using those experimental results. The aim of such modelling is to show how the mid-point de...

The safety of power transmission systems in wind turbines is crucial to the turbine’s stable operation and has attracted a great deal attention condition monitoring farms. Many different intelligent schemes have been developed detect occurrence defects via supervisory control data acquisition (SCADA) data, which most commonly applied system turbines. Normally, artificial neural networks are est...

Abstract Weirs are one of the most common hydraulic structures used in water engineering projects. In this research, a group method data handling (GMDH) was developed to estimate energy dissipation flow passing over labyrinth weirs with triangular and trapezoidal plans. To compare performance model other types soft computing models, multilayer perceptron neural network (MLPNN) developed. The di...

Most isolators have numerous displacements due to their low stiffness and damping properties. Accordingly, the supplementary systems vital roles in enhancement lower isolation system displacement. Nevertheless, many cases, even by utilising additional dampers systems, occurrence of residual displacement is inevitable. To address this issue, study, a new smart type bar hysteretic equipped with s...