۲۵ اسفند ۱۳۹۸
دسته:
کد : 185

» عنوان : Liquefaction assessment by artificial neural networks based on CPT

زبان PDF : لاتین

تعداد صفحات : ۱۴

چکیده :

ABSTRACT:

In this research, a reliable Cone Penetration Test data set with a wide range of parameters was integrated in an Artificial Neural Networks (ANN) program in order to evaluate the liquefaction potential of soils. This research proposed three ANN models with different input parameters and one output parameter which represent the occurrence and non-occur-rence of liquefaction. The results of this research showed that the complex relationship between the soil, stress and earthquake parameters was well understood by the proposed ANN models. Moreover, the success rate in prediction liquefaction was higher than that given by the traditional methods. The research results showed that preprocessing, normalizing or calibrating the data before assessing the liquefaction potential is not needed as requested by previous works. In view of the relative impor-tance of effective parameters in liquefaction assessment, it is found that qc has a more important role than σvo and σʹvo.

INTRODUCTIONT:

hrough many ages, earthquakes were one of the natu-ral disasters that endangered and threatened humanity. However, the damages and loss of human lives caused by structure collapses and ground problems during strong earthquakes are still a plague all around the world, and man still cannot stop it.During shaking, various types of ground deformation which can be identified by ground failure may become large enough to cause considerable damages. One of the most cata-strophic events of ground failure is the phenomenon called Liquefaction. It is known as one of the most destructive phenomena caused by earthquake and has been widely seen in loose saturated sandy soil deposit (Niigata 1964, Alaska 1964, Tangshan 1979, Loma Prieta 1989, Kobe 1995, Turkey, 1998, etc). Increase in pore water pressure, due to seismic shaking by the earthquake, causes the loose saturated sandy soils to liquefy and may cause ground settlement, sand boils, flow slides, sinking of heavy building, floating of light building, slumping of slopes, settlement of buildings, and lateral spreading (Agrawal et al. 1997).

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