In the present study, two new hybrid approaches are proposed for predicting peak ground acceleration (PGA) parameter. The proposed approaches are based on the combinations of Adaptive Neuro-Fuzzy System (ANFIS) with Genetic Algorithm (GA), and with Particle Swarm Optimization (PSO). In these approaches, the PSO and GA algorithms are employed to enhance the accuracy of ANFIS model. To develop hy...

the near field ground motions have a high amplitude pulse like at the beginning of the seismogram which are significantly influenced by the rupture mechanism and direction of rupture propagation. this type of ground motion cause higher demands for engineering structures and its response spectrum is dramatically different than far field spectra. tabriz is one of the ancient cities in azerbaijan ...

Impact forces and shock deceleration during jumping and running have been associated with various knee injury etiologies. This study investigates the influence of jump height and knee contact angle on peak ground reaction force and segment axial accelerations. Ground reaction force, segment axial acceleration, and knee angles were measured for 6 male subjects during vertical jumping. A simple s...

growing environmental and social concerns, both on the part of decision makers and public opinion, have brought a new perspective to the perception of hazard assessments a valid alternative in the long-term, and an effective complement in short and medium terms, to traditional design procedure for a resistant and safe environment. results of the gradual development of research on the probabilis...

Post-disaster reconstruction management of urban areas requires timely information on the ground response microzonation to strong levels of ground shaking to minimize the rebuilt-environment vulnerability to future earthquakes. In this paper, a procedure is proposed to quantitatively estimate the severity of ground response in terms of peak ground acceleration, that is computed from macroseismi...

In this paper, the probable range of the horizontal component of peak ground acceleration (PGA) is predicted as a function of focal depth, earthquake magnitude and epicentral distance, using artificial neural network (ANN). Three different ANN architectures (namely Feed Forward, Back Propagation and Radial Bias Networks) are used to develop the model. The three models are then compared, to deci...

Probabilistic seismic hazard analysis is a technique for estimating the annual rate of exceedance of a specified ground motion at a site due to the known and suspected earthquake sources. A Monte-Carlo approach is utilized to estimate the seismic hazard at a site. This method uses numerous resampling of an earthquake catalog to construct synthetic catalogs to evaluate the ground motion hazard a...