This study attempts to answer the question of distinguishing appropriate intensity measure parameter for performance-based design or assessment, taking into account the efficiency aspect. The comprehensive comparative tables proposed in this paper could be an effective support in the decision making procedure for intensity measure selection, comprising most of the frequently utilized intensity ...

The use of machine learning across many fields has seen a rise in recent years, from life and physical sciences to finance and athletics. Within the physical sciences, it is just starting to see some implementation in the field of Earthquake Engineering. The objective of this paper is to implement machine learning to Earthquake Engineering data to create more literature in the field. In particu...

This paper presents a computational study assessing the seismic response of rectangular concrete-filled steel tube (RCFT) members and frames to develop a reliability-based performance-based design methodology. A new analysis formulation was derived based on a mixed-finite element approach allowing geometrically and materially nonlinear analysis of RCFT frames under seismic and non-seismic loadi...

The objective of the study presented herein is to access the influence of rupture directivity on the inducement of liquefaction in loose, saturated sand. Rupture directivity is a near fault phenomenon that results in a pronounced double-sided velocity pulse in the strike normal component(s) of motion. Using the Palmgren-Miner fatigue theory, implemented for low cycle fatigue conditions, the num...

The inelastic response of beam-column connections significantly affects the seismic performances of steel frames. Accurate models of beam-column connections are important both in understanding the seismic behavior and in design. An effective approach towards developing accurate models for connections is self-learning simulation, which is presented in this paper. The latter simulation method has...

the prediction of liquefaction potential of soil due to an earthquake is an essential task in civil engineering. the decision tree is a tree structure consisting of internal and terminal nodes which process the data to ultimately yield a classification. c4.5 is a known algorithm widely used to design decision trees. in this algorithm, a pruning process is carried out to solve the problem of the...

A self adaptive particle filter method for structural system identification is presented in this paper. Such an adaptive technique that uses statistical methods to adapt the number of particles at each iteration. This method improves the efficiency of state estimation by adapting the size of sample sets during the estimation process through KLD-Sampling. Within this adaptation process the numbe...

In this paper an efficient classification system in the area of earthquake engineering is reported. The proposed method uses a set of artificial accelerograms to examine several types of damages in specific structures. With the use of seismic accelerograms, a set of twenty seismic parameters have been extracted to describe earthquakes. Previous studies based on artificial neural networks and ne...

For performance-based design, nonlinear dynamic structural analysis using various types of input ground motions is required. Stochastic (simulated) ground motions are sometimes useful as input motions, because their properties can be varied systematically to study the impact of ground-motion properties on structural response, and producing large numbers of ground motions is simple. This paper d...