|تعداد مشاهده مقاله||106,202,358|
|تعداد دریافت فایل اصل مقاله||83,101,208|
Prediction of Permanent Earthquake-Induced Deformation in Earth Dams and Embankments Using Artificial Neural Networks
|Civil Engineering Infrastructures Journal|
|مقاله 5، دوره 48، شماره 2، اسفند 2015، صفحه 271-283 اصل مقاله (860.02 K)|
|نوع مقاله: Research Papers|
|شناسه دیجیتال (DOI): 10.7508/ceij.2015.02.004|
|Kazem Barkhordari* 1؛ Hosein Entezari Zarch2|
|1Assistant professor, Department of Civil Engineering, Yazd University, Yazd, Iran|
|2M.Sc. Student, Department of Civil Engineering, Yazd University, Yazd, Iran.|
This research intends to develop a method based on the Artificial Neural Network (ANN) to predict permanent earthquake-induced deformation of the earth dams and embankments. For this purpose, data sets of observations from 152 published case histories on the performance of the earth dams and embankments, during the past earthquakes, was used. In order to predict earthquake-induced deformation of the earth dams and embankments a Multi-Layer Perceptron (MLP) analysis was used. A four-layer, feed-forward, back-propagation neural network, with a topology of 7-9-7-1 was found to be optimum. The results showed that an appropriately trained neural network could reliably predict permanent earthquake-induced deformation of the earth dams and embankments.
|Artificial Neural Networks؛ Earth dam؛ Earth embankment؛ Earthquake-induced deformation|
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