The concept of disaster resilience has received considerable attention in recent years and is increasingly used as an approach for understanding the dynamic response to natural disasters. In this paper, a new performance index measuring the functionality of a gas distribution network has been proposed, which includes the restoration phase to evaluate the resilience index of the entire network. ...

The tectonically complex San Francisco Bay Region (SFBR) contains both known and unidentified faults that produce a broad range of earthquake sizes at different rates of occurrence. In this chapter we use fault zone information developed in the previous chapter to construct an earthquake source model that describes long-term rates of earthquake production in the SFBR. Specifically, this SFBR ea...

Among all the natural hazards, earthquake prediction is an arduous task. Although many studies have been published on hazard assessment (EHA), very few use of artificial intelligence (AI) in spatial probability (SPA). There a great deal complexity observed SPA modeling process due to involvement seismological geophysical factors. Recent shown that insertion certain integrated factors such as gr...

The purpose of this study is to assess the vulnerability urban blocks earthquakes for Tehran as a city built on geological faults using an artificial neural network—multi-layer perceptron (ANN-MLP). Therefore, we first classified earthquake evaluation criteria into three categories: exposure, sensitivity, and adaptability capacity attributed total 16 spatial criteria, which were inputted networ...

1. Distribution of earthquakes on the Earth 2. Reasons for earthquakes in the Earth's crust 3. Types of the Earth's lithosphere and Plate Tectonics 4. Types of seismic waves 5. Measurement of the size of an earthquake 6. The models of earthquake source 7. Nature of deep (mantle) earthquakes 8. Earthquake recurrence interval study 9. Earthquakes as a motor for geodynamic processes 10. Correspond...

In this study, the performance of three different self organization feature map (SOFM) network models denoted as SOFM1, SOFM2, and SOFM3 having neighborhood shapes, namely, SquareKohonenful, LineKohonenful, and DiamondKohenenful, respectively, to predict the critical factor of safety (Fs) of a widely-used artificial slope subjected to earthquake forces was investigated and compared. For this pu...

in this paper, seismic behavior of the existing buildings equipped by friction dampers is studied. seismic performance of6-story, 9-story and 12-story steel buildings with damper and without damper were studied. the finite element modeling technique (sap2000 software) is used for analysis. time history analyzing was done to achieve this purpose. for nonlinear dynamic analysis, the responses of ...

In accordance with the Seismo-Geothermics theory about methods of intracrustal strong earthquake and volcano prediction, we use the ANSS earthquake catalogue from the Northern California earthquake data center and the EMSC earthquake catalogue from the European-Mediterranean Seismological Centre to study the seismic activities of the Turkish Branch Seismic Cone in the Mediterranean Seismic Cone...

It is well known that earthquakes are a regional event, strongly controlled by local geological structures and circumstances. Reducing the research area can reduce the influence of other irrelevant seismotectonics. A new sub regiondividing scheme, considering the seismotectonics influence, was applied for the artificial neural network (ANN) earthquake prediction model in the northeast seismic r...

Since early 80’s new families of computational methods, termed as Soft Computing (SC) methods, have been proposed. SC methods are based on heuristic approaches rather than on rigorous mathematics while their use in various areas of computational mechanics is continuously growing. Artificial neural networks (ANNs), which have been applied in many engineering fields, are among the most popular SC...