Several conventional structural systems require sufficient retrofitting design procedures, improvements, and reconstructions to withstand lateral loads decrease the occurrence of damage. High strength capacity ductility for seismic resisting improve vulnerabilities limit damage concentrations in areas subject conditions. types shapes with appropriate energy dissipation features are currently es...

High-amplitude seismic waves from the Mw 7.0 Kumamoto earthquake of April 16, 2016, triggered another large earthquake 80 km to the NE roughly 30 s later. The source was located at shallow depths beneath the Yufuin geothermal field, Oita Prefecture, Japan, and the event magnitude was approximately 5.9. To date, this is one of the clearest known examples of a remotely triggered large earthquake....

Earthquake DSS is an information technology environment which can be used by government to sharpen, make faster and better the earthquake mitigation decision. Earthquake DSS can be delivered as E-government which is not only for government itself but in order to guarantee each citizen’s rights for education, training and information about earthquake and how to overcome the earthquake. Knowledge...

Despite of over a century of scientific effort, the understanding in earthquake forecasting remains immature. Moreover, even the theoretical possibility of earthquake forecasting is debatable. Especially problematic is a possibility of an effective shortand intermediate-term earthquake forecasting. The aim of this paper is to present the new evidence in support of possibility of the shortand in...

To effectively use the large supplies of wood material obtained from forest thinning, research focused on developing cross-laminated timber (CLT) structures is increasing globally. However, earthquake resistance CLT considered insufficient owing to relationships between force and deformation exhibiting pinched hysteresis behavior with slippage.

— An Earthquake is more important for geophysics and economy problems. The Support Vector Machine of data mining techniques with cluster analysis is used to predict impact of earthquake [2]. The historical data are collected which has follow the time series methodology, combine the data mining for pre-processing and finally apply the SVM to predict the impact of earthquake. Earthquake predictio...

This paper presents a review of the work done in earthquake prediction using abnormal animal behavior. The earthquake prediction can be done using the abnormal behavior of animals preceding earthquake occurrence in seismically active region because of their relatively more capability than humans of perceiving certain kind of geophysical stimuli which may precede earthquake. The international wo...